Browse Data and AI jobs in Spain, then compare roles, skills, and adjacent GenAI career paths.

Datadog

As a Staff Engineer on the Data Platform Experience team, you'll help shape how Datadog engineering teams build, operate, and evolve products on the Observability Data Platform. You'll lead the design and delivery of shared platform capabilities that reduce developer friction, improve operational visibility, and enable engineering teams to move faster with confidence. This role combines deep distributed systems expertise with technical leadership across multiple teams, influencing platform strategy while remaining hands-on in the code. You'll have the opportunity to solve company-wide challenges spanning cost intelligence, operational tooling, platform health, and developer experience.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You'll Do:
<ul>
<li>Lead strategic engineering initiatives that improve how product teams build, operate, and evolve services on the Observability Data Platform.</li>
<li>Design and build scalable platform capabilities for cost intelligence, including cloud cost allocation, trend analysis, and optimization recommendations.</li>
<li>Develop operational intelligence and self-service tooling that helps engineering teams understand platform health, troubleshoot incidents, and improve operational efficiency.</li>
<li>Drive reusable platform services and developer workflows that increase engineering autonomy while reducing operational complexity across multiple products.</li>
<li>Provide technical leadership across teams by influencing architecture, mentoring engineers, and raising engineering standards through hands-on technical contributions.</li>
<li>Participate in the team's on-call rotation and continuously improve platform reliability, observability, and operational excellence.</li>
</ul>
Who You Are:
<ul>
<li>You have experience designing and building large-scale SaaS or cloud platforms with deep expertise in distributed systems.</li>
<li>You have strong software architecture and system design skills and have successfully led complex technical initiatives across multiple teams.</li>
<li>You have a platform engineering mindset and enjoy building reusable capabilities that enable other engineering organizations to move faster.</li>
<li>You are an effective communicator who can influence technical direction without direct authority and collaborate across organizational boundaries.</li>
<li>You have experience with backend technologies such as Java and Go, and distributed infrastructure including Kafka and Kubernetes</li>
<li>Experience with observability platforms, internal developer platforms, operational tooling, developer productivity solutions, or AI-powered engineering workflows is beneficial but not required.</li>
</ul>
Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.
Benefits and Growth:
<ul>
<li>Generous and competitive benefits package</li>
<li>New hire stock equity (RSUs) and employee stock purchase plan</li>
<li>Continuous career development and pathing opportunities</li>
<li>Employee-focused best in class onboarding</li>
<li>Internal mentor and cross-departmental buddy program</li>
<li>Friendly and inclusive workplace culture</li>
</ul>
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid<div><hr />
About Datadog: 
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on <a href="https://www.instagram.com/datadoghq/?hl=en" target="_blank" rel="noopener noreferrer ugc">Instagram</a>, <a href="https://www.linkedin.com/company/datadog" target="_blank" rel="noopener noreferrer ugc">LinkedIn,</a> and <a href="https://learn.datadoghq.com/" target="_blank" rel="noopener noreferrer ugc">Datadog Learning Center. </a>
<hr />
Equal Opportunity at Datadog:
Datadog is proud to offer <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank" rel="noopener noreferrer ugc">equal employment opportunity</a> to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our <a href="https://www.datadoghq.com/legal/candidate-legal-notices/" target="_blank" rel="noopener noreferrer ugc">Candidate Legal Notices</a> for your reference. 
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete <a href="https://docs.google.com/forms/d/e/1FAIpQLSeoJeduEZ2NdZF_65uZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform" target="_blank" rel="noopener noreferrer ugc">this form</a>. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s <a href="https://www.datadoghq.com/legal/applicant-candidate-privacy/" target="_blank" rel="noopener noreferrer ugc">Applicant and Candidate Privacy Notice</a>. For information on our AI policy, please visit <a href="https://www.datadoghq.com/legal/interviewing-at-datadog-ai-guidelines/" target="_blank" rel="noopener noreferrer ugc">Interviewing at Datadog AI Guidelines</a>.</div>

Staff Engineer - Data Platform Experience

NielsenIQ

<h3>Company Description</h3>We are a team of passionate, curious and diverse professionals who care about each other, our work, our company and the world. We are looking for someone who combines skill in machine learning with an ability to connect with people and see the wider context for a range of business problems. You will be responsible for assessing state-of-the-art techniques, researching novel ideas to improve them and applying them to large scale problems, mainly in the domain of recommender systems and NLP (from semantic search to deep agentic deep research). To solve problems effectively, you will need to be able to build relationships and understand the business context in which we are operating. This position will suit someone who has a deep understanding of machine learning and is comfortable presenting clearly and winsomely to a non-technical audience.  NielsenIQ helps companies to meet the needs of people all over the world for food, health, hygiene, tech and durable products. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. This position opens the opportunity to research and apply state-of-the-art AI/ML techniques to strategic global projects.  <h3>Job Description</h3><ul><li>Research, evaluate, and adapt state-of-the-art techniques to solve large-scale AI problems.  </li></ul><ul><li>Lead the development and application of machine learning innovations to complex business challenges with minimal supervision. </li></ul><ul><li>Drive innovation in Information Retrieval, Product Matching, Recommendation Systems,    NLP, and Generative AI.  </li></ul><ul><li>Assess the applicability of emerging research and identify opportunities for adoption across multiple business initiatives.  </li></ul><ul><li>Design and conduct advanced experiments and feasibility studies to guide technical strategy.  </li></ul><ul><li>Develop scalable, reproducible, and maintainable machine learning solutions and research frameworks.  </li></ul><ul><li>Collaborate with Applied AI and Engineering teams to enable adoption of research outcomes.  </li></ul><ul><li>Mentor and support other scientists and contribute to the technical growth of the team.  </li></ul><ul><li>Lead or contribute to scientific publications, patents, and conference submissions.  </li><li>Communicate technical vision, research findings, and strategic recommendations to stakeholders across technical and business functions.  </li><li>Promote engineering excellence, scientific rigor, and best practices across research initiatives. </li></ul><h3>Qualifications</h3><ul><li>Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related quantitative discipline.  </li></ul><ul><li>7+ years of experience in Machine Learning, Deep Learning, or AI research.  </li></ul><ul><li>Demonstrated expertise in training transformer-based models for Information Retrieval, Recommendation Systems, Product Matching, NLP, or related domains.  </li></ul><ul><li>Experience training custom SLMs and /or small reasoning models. </li></ul><ul><li>Advanced experience with Python, PyTorch, Hugging Face, Pandas, Scikit-learn, and Git.  </li></ul><ul><li>Strong experience with Transformer architectures, embeddings, and representation learning.  </li></ul><ul><li>Experience with vector databases (e.g., FAISS, ChromaDB, Pinecone) and retrieval-based systems.  </li></ul><ul><li>Ability to understand, evaluate, and extend ideas from scientific literature.  </li></ul><ul><li>Strong analytical, problem-solving, stakeholder management, and communication skills. </li></ul><ul><li>Proven ability to independently drive research initiatives from concept through adoption.</li></ul>Good to Have <ul><li>PhD in a relevant field.  </li><li>Publications in leading conferences (e.g., ACL, EMNLP, SIGIR, KDD, NeurIPS, ICML, ICLR, RecSys).  </li><li>Experience mentoring researchers or leading technical initiatives.  </li><li>Experience with RAG architectures, LLMs, and agent-based frameworks.  </li><li>Experience with Knowledge Graphs.  </li><li>Experience in retail, consumer intelligence, ecommerce, or FMCG domains. </li><li>Experience with Databricks, SQL, Elasticsearch. </li></ul><h3>Additional Information</h3>Salary: 55.300– €70.000 gross per year.  This role might also be eligible for a performance-based bonus. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria.​​ Employees enjoy a Home Office working model (Spain-based), with occasional team meetings at the Madrid office.<div></div>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/
About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/" rel="noopener noreferrer ugc" target="_blank">Instagram</a> | <a href="https://twitter.com/nielseniq" rel="noopener noreferrer ugc" target="_blank">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/" rel="noopener noreferrer ugc" target="_blank">Facebook</a>
Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0" rel="noopener noreferrer ugc" target="_blank">https://nielseniq.com/global/en/news-center/diversity-inclusion</a>

Senior AI Research Scientist – NLP, Information Retrieval & LLMs (Spain Remote)

Awin

About the AI Platform Team 
The AI Platform Team enables Awin teams to build, ship, and operate AI-powered products safely, consistently, and efficiently.
We focus on the shared platform and enablement layer for AI development across the company. That includes reusable services, internal APIs and SDKs, platform patterns, observability, evaluation support, guardrails, cost visibility, and practical guidance that helps teams move from experimentation to production with confidence.
This is a team for engineers who enjoy building internal platforms, creating paved roads for others, and raising the engineering quality bar for AI development across the organization.
About the role
We are looking for a Senior AI Platform Engineer - Security &amp; Governance to join the AI Platform Team and help define and implement the guardrails, privacy patterns, governance mechanisms, and safe defaults that allow AI adoption to scale responsibly across Awin.
In this role, you will work on the safety and control layer of AI development: AI security patterns, privacy and PII handling guidance, provider and model governance, reusable guardrails, and lightweight readiness mechanisms that improve safety without creating unnecessary process.
This role is best suited to someone who combines strong engineering judgment with real practical experience in security, governance, privacy, or compliance for AI-powered systems. We care more about evidence of sound decision-making and pragmatic implementation than about titles or years in a specific niche.
What youʼll do 
<ul>
<li>Define and improve practical guardrails and safe defaults for AI-powered systems</li>
<li>Help shape Awinʼs approach to privacy, PII handling, and data-safe patterns for AI workflows</li>
<li>Contribute to approved provider and model guidance, including practical validation and usage expectations</li>
<li>Work with engineers to translate policy, risk, and governance needs into reusable platform patterns and engineering controls</li>
<li>Help define production-ready expectations for AI systems from a safety, governance, and risk perspective</li>
<li>Contribute to readiness checks, automated validations, and scalable governance mechanisms that reduce reliance on manual approval processes</li>
<li>Help improve logging, tracing, and observability practices so AI systems are auditable and safer to operate</li>
<li>Partner closely with Security, Legal, Architecture, and product engineering teams to ensure standards are practical and proportionate</li>
<li>Support teams in understanding AI-specific risks such as unsafe outputs, provider misuse, privacy exposure, and poor trace hygiene</li>
<li>Write clear documentation, patterns, and guidance that help teams apply standards consistently</li>
<li>Contribute to strong engineering practices across the team through clean code, testing, and collaboration </li>
<li>Mentor others and help raise the teamʼs overall maturity in AI safety, governance, and privacy-aware engineering</li>
</ul>
Requirements 
<ul>
<li>Strong software engineering fundamentals and experience working on production systems</li>
<li>Practical experience in security, governance, privacy, compliance, or risk-related engineering work</li>
<li>Clear hands-on experience applying those controls to AI- or LLM-powered systems</li>
<li>Strong understanding of AI-specific risks, including privacy exposure, PII handling, unsafe outputs, provider/model risk, and misuse or abuse patterns</li>
<li>Experience translating policy or risk requirements into practical engineering controls, patterns, or defaults</li>
<li>Good understanding of how to make AI systems observable, auditable, and safer to operate in production</li>
<li>Ability to work effectively with engineers, architects, and non-engineering stakeholders such as Security or Legal</li>
<li>Good practical experience with Python and/or JavaScript / TypeScript</li>
<li>Comfortable working across the lifecycle of a platform capability, from design and implementation to rollout and iteration</li>
<li>Good understanding of information security and how to design solutions with security in mind</li>
<li>Comfortable applying unit testing, continuous integration, and continuous deploymentStrong communication skills, both synchronous and asynchronous</li>
<li>Comfortable working through ambiguity and helping shape standards where the right balance between safety and speed is still evolving</li>
<li>Strong judgment and pragmatism, with an ability to improve safety without introducing excessive bureaucracy</li>
</ul>
Nice to have
<ul>
<li>Experience designing or implementing guardrails for AI or LLM-powered systems</li>
<li>Experience with AI governance automation, readiness gates, policy checks, or preflight validation patterns</li>
<li>Familiarity with tracing, auditability, and logging standards for AI systems</li>
<li>Familiarity with evaluation workflows, regression checks, and production readiness practices for AI</li>
<li>Experience assessing third-party AI providers or model usage from a risk or governance perspective</li>
<li> Experience with privacy-by-design patterns in data-sensitive systems</li>
<li>Experience working in regulated or higher-risk environments</li>
<li>Experience writing clear developer guidance and turning repeated risk questions into reusable standards</li>
</ul>
Tools and technologies you may work with:
<ul>
<li>Python</li>
<li>JavaScript / TypeScript</li>
<li>Azure / AWS</li>
<li>LLM APIs</li>
<li>CI/CD tooling</li>
<li>Observability and tracing tools</li>
<li>Policy and validation patterns</li>
<li>Internal platform services, standards, and governance tooling</li>
</ul>
Working style 
We are looking for someone who enjoys building in a space that is evolving quickly, but who stays grounded in pragmatic engineering and long-term platform value.
A strong fit for this role is someone who:
<ul>
<li>Thinks clearly about real-world AI risk, not just theoretical concerns</li>
<li>Can balance safety, speed, and developer experience</li>
<li>Communicates clearly and helps others understand trade-offs</li>
<li>Prefers reusable controls and automation over manual gatekeeping</li>
<li>Is comfortable collaborating across engineering, security, architecture, and legal boundaries</li>
<li>Writes clear, actionable guidance rather than vague policy language</li>
<li>Is proactive about identifying risk patterns early and turning them into scalable solutions</li>
<li>Enjoys helping other engineers build safer systems without slowing them down unnecessarily</li>
</ul>

<div>Our Offer</div>
<ul>
<li>
<div>Flexi-Week: We prioritise your mental health and wellbeing by offering you a four-day Flexi-Week (with one lighter or completely disconnected day per week) at full pay, with no reduction to your annual holiday allowance.</div>
</li>
<li>
<div>Flexi-office: We offer an international culture and flexibility through our hybrid/remote working scheme which is designed to foster a culture of mutual trust and working flexibility.</div>
</li>
<li>
<div>Work Expense Contribution &amp; Remote Working Furniture: You will receive a monthly allowance to cover part of your running costs, as well as a furniture package to support you in setting up a comfortable workspace when working from home.</div>
</li>
<li>
<div>Health and Wellbeing: With our support and access to various initiatives and sports offers, you can focus on your mental and physical wellbeing.</div>
</li>
<li>
<div>Development: We’ve built our extensive training suite, Awin Academy, to cover a wide range of skills that support your professional and personal growth, with trainings conveniently packaged to help your overall development.</div>
</li>
<li>
<div>Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer recognition programme.</div>
</li>
</ul>
<div>We are hiring in multiple countries for this role. Additional benefits, including health and wellbeing offerings, will be discussed during the initial interview.</div>
Established in 2000, Awin is proud of our dynamic, social and inclusive culture.
Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.
Diversity &amp; Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.
Awin is part of the Axel Springer group. Learn more at <a href="https://www.axelspringer.com/en/" target="_blank" rel="noopener noreferrer ugc">axelspringer.com/en/</a>, and explore the Axel Springer Essentials here: <a href="https://www.axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why" target="_blank" rel="noopener noreferrer ugc">axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why</a>  
Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.
#LI-RS1

Senior AI Engineer (f/m/d)

Elastic

<div>Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.</div><h2>What is the role</h2>
We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs.
Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.
<h2>What You Will Be Doing</h2>
<ul>
<li>Lead initiatives within <a href="https://github.com/elastic/elasticsearch/" target="_blank" rel="noopener noreferrer ugc">Elasticsearch</a> to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search.</li>
<li>Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.</li>
<li>Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.</li>
<li>Be an expert on how Elasticsearch implements vector similarity in support of search relevance and everyone will turn to you when they have a question about this area. You'll improve this area based on your questions and your instincts.</li>
<li>Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.</li>
<li>Write idiomatic modern Java -- Elasticsearch is 99.8% Java!</li>
</ul>
<h2>What You Bring Along</h2>
<ul>
<li>You have implemented novel techniques in vector similarity on a search platform with a large user base or progressed the field of academic research in vector similarity information retrieval.</li>
<li>Professional experience with vector similarity and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.</li>
<li>You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.</li>
<li>You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.</li>
<li>You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.</li>
<li>You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.</li>
<li>You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.</li>
<li>
<div>You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.</div>
</li>
<li>
<div>You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities</div>
</li>
<li>
<div>You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.</div>
</li>
</ul>
<h2>Bonus Points</h2>
<ul>
<li>You've built things with Elasticsearch before.</li>
<li>You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.</li>
<li>Experience with data storage technology.</li>
<li>You have experience designing, leading and owning cross-functional initiatives</li>
</ul><div><div><div>Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.  
At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets.
The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position.</div><div>The typical starting salary range for this role is:</div><div>€80.400—€127.200 EUR</div></div></div><div><h2>Additional Information - We Take Care of Our People</h2>
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
<ul>
<li>Competitive pay based on the work you do here and not your previous salary</li>
<li>Health coverage for you and your family in many locations</li>
<li>Ability to craft your calendar with flexible locations and schedules for many roles</li>
<li>Generous number of vacation days each year</li>
<li>Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service</li>
<li>Up to 40 hours each year to use toward volunteer projects you love</li>
<li>Embracing parenthood with minimum of 16 weeks of parental leave</li>
</ul>
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email <a href="mailto:candidate_accessibility@elastic.co" target="_blank">candidate_accessibility@elastic.co</a>. We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: <a href="https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf" target="_blank" rel="noopener noreferrer ugc">Family and Medical Leave Act (FMLA)</a> Poster; <a href="https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf" target="_blank" rel="noopener noreferrer ugc">Pay Transparency Nondiscrimination Provision</a> Poster; <a href="https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppabw.pdf" target="_blank" rel="noopener noreferrer ugc">Employee Polygraph Protection Act (EPPA)</a> Poster and <a href="https://www.dol.gov/sites/dolgov/files/OFCCP/regs/compliance/posters/pdf/22-088_EEOC_KnowYourRights.pdf" target="_blank" rel="noopener noreferrer ugc">Know Your Rights</a> (Poster)
Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see <a href="https://www.elastic.co/legal/applicant-privacy-statement" target="_blank" rel="noopener noreferrer ugc">here</a> for our Privacy Statement.</div>

Principal Software Engineer - Vector Search - Elasticsearch

Twilio

<div>Who we are 
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to<a href="https://customers.twilio.com/" target="_blank" rel="noopener noreferrer ugc"> hundreds of thousands of businesses </a>and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to <a href="https://www.twilio.com/en-us/blog/open-work" target="_blank" rel="noopener noreferrer ugc">remote-first work</a>, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. .
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! 
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.  .</div>See yourself at Twilio
Join the team as Twilio’s next Machine Learning Engineer.
About the job
This position is to design and engineer AI powered features that makes every customer conversation smarter. As a Machine Learning Engineer on the Conversation Intelligence team, you'll develop and deploy solutions that extract meaning from voice and messaging data at Twilio scale. You'll work alongside experienced ML practitioners to ship real features - from model pipelines to production inference - that directly shape how businesses understand their customers.
Responsibilities
In this role, you’ll:
<ul>
<li>Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability.</li>
<li>Implement and maintain end-to-end AI/ML pipelines - from data ingestion and feature engineering through to model development, validation, and deployment with guidance from senior engineers on complex architectural decisions</li>
<li>Instrument AI/ML services with appropriate metrics, logging, and telemetry to monitor model performance and operational health against defined SLOs</li>
<li>Participate in on-call rotations, executing progressive rollouts and applying standard mitigation strategies to keep production inference services healthy</li>
<li>Collaborate across planning, design, and code review phases contributing to product and technical discussions, while helping raise overall code quality through thoughtful review feedback</li>
</ul>
Qualifications 
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
<ul>
<li>Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience</li>
<li>2+ years of experience in machine learning engineering or applied ML, with demonstrated proficiency in Python and at least one ML framework (PyTorch, TensorFlow, or JAX) and familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy.</li>
<li>Experience developing, testing, and deploying small-to-medium scoped ML services or features in a collaborative engineering environment, including model versioning, experiment tracking, and cloud-based infrastructure (AWS, GCP, or Azure)</li>
<li>Proficiency in Python (preferred) or similar OO language.</li>
<li>Experience utilizing Large (or Small) Language Models within software systems.</li>
<li>Excellent written and verbal communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.</li>
</ul>
Desired:
<ul>
<li>Hands-on experience with conversational AI, or LLM fine-tuning and prompt engineering in a production  context</li>
<li>Exposure to agentic AI frameworks such as LangGraph, AutoGen, CrewAI</li>
<li>Familiarity with MLOps/LLMOps tooling related to maintaining models in production such as testing, versioning, model registry, retraining, and monitoring.</li>
</ul>
Location
<ol>
<li>This role will be remote from Spain.</li>
</ol>
Travel 
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.<div>Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call <a href="https://www.twilio.com/company/values" rel="noopener noreferrer ugc" target="_blank">Twilio Magic</a>. Additionally, we empower employees to build <a href="https://twilio.org/support-and-resources/impact-fund" rel="noopener noreferrer ugc" target="_blank">positive change in their communities</a> by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, <a href="https://www.twilio.com/company/jobs#open-positions" rel="noopener noreferrer ugc" target="_blank">please consider other open positions.</a>
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @<a href="http://twilio.com" rel="noopener noreferrer ugc" target="_blank">twilio.com</a> email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . 
Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.</div>

Machine Learning Engineer

<h3>Company Description</h3>#LI-Hybrid We're looking for a ML Engineer to help shape the machine learning core of our Marketing Effectiveness platform a globally scaled software application used by enterprise marketers to measure, forecast, and optimize media spend across channels, geographies, and business units.You'll join a team of ML engineers building the statistical and machine learning systems that power lower funnel marketing channel attribution for some of the world's largest advertisers. This is a high-leverage role: your models directly shape how billions of dollars in marketing investment get deployed.You will be joining an innovation &amp; client first culture, where creative thinking and entrepreneurial spirit are championed, fostered, and harnessed into the next-gen features of our evolving marketing analytics platform.<h3>Job Description</h3>Mission  <ul><li>Develop Marketing Science solutions in the area of Media Effectiveness   </li></ul><ul><li>Support product development during concept testing, scaling and production  </li></ul><ul><li>Transform proofs-of-concepts into scalable, production-ready code  </li></ul>Responsibilities  <ul><li>Develop, implement and standardize Marketing Science solutions in proofs-of-concept and prototypes  </li></ul><ul><li>Continuously improve the efficiency of our Marketing Science products (e.g. ensure quality by adherence to coding guidelines, documentation and reproducibility)  </li></ul><ul><li>Optimize our Marketing Science models using code optimization, high-performance computing and real-time techniques   </li></ul><ul><li>Build analytical pipelines at scale using cloud services, containerized applications and distributed systems  </li></ul><ul><li>Identify best practices and create continuous improvement of tools and methods   </li></ul><ul><li>Collaborate closely with Product Owners, Modelers, Marketing Scientists and Front-End Engineers  </li></ul><h3>Qualifications</h3><ul><li>Bachelor or Master degree that reflects strong statistical/mathematical/computer science skills  </li></ul><ul><li>Strong expertise in Python - at least 3 years of development  </li></ul><ul><li>Understanding of R  </li></ul><ul><li>Experience in (predictive) statistical modeling and causal inference </li></ul><ul><li>Ability to manage code deployments (experience with GIT)  </li></ul><ul><li>Basic understanding of Dockerization – building and managing docker images  </li></ul><ul><li>Experience with creating, managing and/or maintaining code documentation </li></ul><ul><li>Solid skills concerning performance optimization and scalability (e.g., parallelization, code optimization, functions as a service)  </li></ul><ul><li>Experience with Cloud services such as Azure or AWS </li></ul><ul><li>Ability to present and explain complex concepts to less experienced colleagues  </li></ul><ul><li>Familiarity of Kubernetes and Airflow is a plus </li></ul>Soft Skills  <ul><li>Strong analytical and problem-solving skills  </li></ul><ul><li>Ability to work independently  </li></ul><ul><li>Pronounced attention to detail – ensure all outputs are delivered professionally and accurate  </li></ul><ul><li>Good interpersonal skills – treat others with respect, be cooperative, friendly and considerate of others. Be a good role model, help to build teamwork and team spirit  </li></ul><ul><li>Well-organized and flexible, and demonstrate self-confidence, decisiveness and commitment  </li></ul><ul><li>Ability to work alone without constant support, and well organized  </li></ul><ul><li>Ease of communication in an English-speaking business environment  </li></ul><h3>Additional Information</h3>Salary: €38,400 – €54,700 gross per year.  Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria.​​ <div></div>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/
About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/" rel="noopener noreferrer ugc" target="_blank">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/" rel="noopener noreferrer ugc" target="_blank">Instagram</a> | <a href="https://twitter.com/nielseniq" rel="noopener noreferrer ugc" target="_blank">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/" rel="noopener noreferrer ugc" target="_blank">Facebook</a>
Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0" rel="noopener noreferrer ugc" target="_blank">https://nielseniq.com/global/en/news-center/diversity-inclusion</a>

ML Engineer

This role will join Datadog’s Data Visualization organization, a team responsible for the visualization experiences that power dashboards, notebooks, investigations, and product workflows used across the platform. The team is a highly product-oriented organization, building AI-native experiences that help customers understand, investigate, and interact with complex operational data. As a Staff Software Engineer, you will provide technical leadership in applying AI technologies to customer-facing product experiences, helping shape how users interact with Datadog through agents, conversational interfaces, and intelligent investigation workflows. You will partner across engineering and product teams to develop reliable, scalable, and trustworthy AI-powered experiences while helping establish AI engineering expertise within the broader organization.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
 
What You’ll Do:
<ul>
<li>Lead the design and delivery of AI-powered product experiences across Datadog’s visualization and investigation surfaces.</li>
<li>Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes.</li>
<li>Drive innovation in context engineering, prompt engineering, evaluation frameworks, and AI application reliability.</li>
<li>Partner with product and engineering teams to improve investigation workflows and help customers discover insights more efficiently.</li>
<li>Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments.</li>
<li>Provide technical leadership and mentorship while helping establish AI engineering best practices across the Data Visualization organization and broader Graphing group.</li>
</ul>
 
Who You Are:
<ul>
<li>You have extensive software engineering experience and currently operate at or near Staff Engineer scope.</li>
<li>You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies.</li>
<li>You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence.</li>
<li>You approach engineering through a product mindset and can connect technical decisions to customer outcomes and business impact.</li>
<li>You have experience collaborating across multiple teams and influencing technical direction without direct authority.</li>
<li>Experience with agentic systems, conversational interfaces, AI-assisted investigations, observability, data visualization, or developer tools is a plus.</li>
</ul>
Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.
 
Benefits and Growth:
<ul>
<li>Product training to develop an in-depth understanding of our product and space</li>
<li>Continuous career development and pathing opportunities for internal mobility </li>
<li>Intra-departmental mentor and buddy program for in-house networking </li>
<li>An inclusive company culture, ability to join our Community Guilds</li>
<li>New hire stock equity (RSUs) and employee stock purchase plan</li>
<li>Free global mental health benefit through Spring Health </li>
<li>Generous global benefits</li>
</ul>
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid<div><hr />
About Datadog: 
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on <a href="https://www.instagram.com/datadoghq/?hl=en" target="_blank" rel="noopener noreferrer ugc">Instagram</a>, <a href="https://www.linkedin.com/company/datadog" target="_blank" rel="noopener noreferrer ugc">LinkedIn,</a> and <a href="https://learn.datadoghq.com/" target="_blank" rel="noopener noreferrer ugc">Datadog Learning Center. </a>
<hr />
Equal Opportunity at Datadog:
Datadog is proud to offer <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank" rel="noopener noreferrer ugc">equal employment opportunity</a> to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our <a href="https://www.datadoghq.com/legal/candidate-legal-notices/" target="_blank" rel="noopener noreferrer ugc">Candidate Legal Notices</a> for your reference. 
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete <a href="https://docs.google.com/forms/d/e/1FAIpQLSeoJeduEZ2NdZF_65uZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform" target="_blank" rel="noopener noreferrer ugc">this form</a>. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s <a href="https://www.datadoghq.com/legal/applicant-candidate-privacy/" target="_blank" rel="noopener noreferrer ugc">Applicant and Candidate Privacy Notice</a>. For information on our AI policy, please visit <a href="https://www.datadoghq.com/legal/interviewing-at-datadog-ai-guidelines/" target="_blank" rel="noopener noreferrer ugc">Interviewing at Datadog AI Guidelines</a>.</div>

Staff AI Engineer - Data Visualization

Lodgify

<div>⭐ Who we are </div>
<div> </div>
<div>Lodgify is a fast-growing scale-up company leading the vacation rental industry. Backed by $30M in funding, our platform empowers property owners and managers worldwide to efficiently manage and grow their business through technology.</div>
<div> </div>
<div>Headquartered in sunny Barcelona, we're now a team of 380+ people representing over 60 nationalities, united by a passion for transforming the future of short-term rentals.</div><div> </div><div>⭐ Role Overview</div>
<div> </div>
<div>We are looking for a Senior People Analytics Partner to build and scale Lodgify’s People Analytics capabilities. You will turn People data into trusted, actionable insights that help leaders and the People team make better decisions.</div>
<div> </div>
<div>This role sits at the intersection of People, data, and business partnership. You will work with People Ops, HRBPs, Talent Acquisition, Finance/FP&amp;A (workforce planning), and IT/HRIS to improve the quality of our People data, define clear metrics, and enable a healthy self-serve analytics culture.</div>
<h2>⭐ How you will make an impact</h2><ul><li>People Data Infrastructure &amp; Governance: Unify data from key sources (Personio, Lever, 15Five) into a trusted source of truth with high standards for data quality, documentation, and GDPR compliance.</li>
<li>Analytics, Metrics &amp; Insights: Own core People metrics and build the dashboards that help leadership move from "what happened" to "what to do next" through deep-dive analysis.</li>
<li>Leadership Partnership &amp; Self-Serve Enablement: Act as a strategic partner to senior leaders, translating business questions into measurable insights and raising overall data literacy across the organization.</li>
<li>Operational Excellence &amp; Survey Insights: Turn survey and feedback signals into clear recommended actions while building scalable reporting processes that reduce manual work.</li></ul>
<h2>⭐ What makes you a great fit</h2><ul><li>5-7 years of professional experience in HRBP or People Teams, with at least 2-3 years specifically focused on People Analytics, ideally within a fast-paced SaaS environment.</li>
<li>Experience designing and implementing end-to-end People data processes, including data hygiene, metric definitions, reporting workflows, and documentation.</li>
<li>Strong business partnering skills: able to translate complex People data (headcount, turnover, costs) into actionable insights for HRBPs, leaders, and stakeholders.</li>
<li>Analytical and structured problem-solver: capable of organizing fragmented HR data, defining metrics, and creating scalable reporting solutions.</li>
<li>Tool-agnostic and pragmatic: able to assess, select, and implement the right analytics platforms and methodologies to support organizational decision-making.</li></ul>

Senior People Data Analyst

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