Artefact

Who is Artefact? Artefact is a next-generation strategy and data consulting firm that transforms organizations through data and AI. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders. From our Lausanne and Zurich offices, we help leading Swiss and international companies turn data and AI into measurable results, working with the leading data platforms, including Databricks.
Main Responsibilities You will design and deliver the data platforms our clients run their business and their AI on, combining hands-on engineering with client advisory.
<ul>
<li>Build modern data platforms: End-to-end lakehouse architectures, mainly on Databricks, built for reliability, observability, and cost.</li>
<li>Engineer pipelines: Batch and streaming pipelines with Python, Spark, and SQL, with data quality built in.</li>
<li>Migrate and modernize: Move legacy warehouses and ETL to the cloud, from assessment to cut-over.</li>
<li>Make data ready for AI: Governed data products and semantic layers that analytics and AI agents can rely on.</li>
<li>Run it properly: Data governance, CI/CD, infrastructure as code, monitoring, and cost control.</li>
<li>Advise and support: Translate business needs into roadmaps, coach junior engineers, and support proposals.</li>
</ul>
Candidate Profile Engineer first, consultant second, with a track record of shipping to production.
<ul>
<li>5+ years in data engineering, including hands-on Databricks experience in production.</li>
<li>Expert Python and SQL, with strong Spark and data modeling skills.</li>
<li>Databricks Data Engineer Professional certification, or a commitment to obtain it within 6 months (we support you).</li>
<li>Experience on Azure, AWS, or GCP, plus DataOps (Git, CI/CD, Terraform, testing).</li>
<li>Strong consulting skills: requirements gathering, documentation, stakeholder management.</li>
<li>Fluent English plus French or German (both is a plus); eligible to work in Switzerland.</li>
</ul>
Nice to have: Experience with other data platforms (Snowflake, Microsoft Fabric, BigQuery), dbt, MLOps, and industry experience (consumer goods, pharma, logistics, insurance, manufacturing).
Why Join Us
<ul>
<li>Strategy with a Data Edge: Build the platforms behind boardroom priorities.</li>
<li>Swiss Impact: High visibility from day one on flagship programs, working directly with senior leadership.</li>
<li>Strong Tech Ecosystem: Certified peers across Artefact and close partnerships with leading data and cloud platforms.</li>
<li>Growth and Culture: Certifications, training, international missions, and a team of doers who move fast and support each other.</li>
</ul>
If you don’t meet 100% of the criteria, we still want to hear from you. Tell us about your passion, curiosity, and impact.

Senior Data Engineer (Databricks)

Junior Data &amp; Analytics Consultant
Who We Are
Artefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. We are present in 27 countries across all continents with a team of 2,500 employees, offering a comprehensive set of AI &amp; data solutions built on deep data science and cutting-edge AI technologies.
From strategy to operations, we partner with 1,000+ clients, including some of the world’s top 300 brands such as Samsung, L’Oréal and Sanofi. Our work spans the full data and AI value chain, including data strategy, data quality and governance, data platforms, AI solutions, and data-driven customer experiences.
About the role
As a Junior Data &amp; Analytics Consultant, you’ll help our clients unlock the value of their data by ensuring it is collected, processed and activated effectively. You'll work directly with clients to understand their challenges, advise them on best practices and implement solutions that enable better decision-making, improve digital experiences and drive business growth.
You'll collaborate closely with experts from across Artefact, including Media &amp; Activation, Creation, Consultancy, Data Science and Technology, to deliver integrated data and AI solutions. Working on projects for leading international brands, you'll gain hands-on experience with a wide range of technologies and business challenges. As one of Google's leading partners, we also benefit from early access to the latest developments and insights across Google's products.
In this role, you'll have the opportunity to work on a variety of projects, develop your skills and learn from experienced colleagues. You'll gain hands-on experience in areas such as:
<h3>Analytics &amp; Tracking Implementation</h3>
<ul>
<li>Implement and optimise digital analytics solutions across websites, apps and marketing platforms.</li>
<li>Work with tag management systems, data layers, server-side tracking and consent management platforms.</li>
<li>Conduct tracking audits, troubleshoot implementations and ensure accurate, reliable data collection.</li>
</ul>
<h3>Data Collection &amp; Activation</h3>
<ul>
<li>Help clients design and improve their data collection architecture across digital touchpoints.</li>
<li>Support integrations between analytics platforms, marketing technologies and data platforms.</li>
<li>Work with technologies such as Google Analytics 4, Google Tag Manager, Amplitude, AppsFlyer, Firebase and marketing APIs to enable data-driven decision-making and activation.</li>
</ul>
<h3>Analytics Consulting &amp; Data Quality</h3>
<ul>
<li>Work directly with clients to understand their measurement challenges and translate business requirements into technical solutions.</li>
<li>Support the development of measurement frameworks, tracking plans and analytics governance standards.</li>
<li>Analyse data quality, identify opportunities for improvement and help clients maximise the value of their analytics investments.</li>
<li>Collaborate with colleagues across Artefact to deliver integrated data and AI solutions.</li>
</ul>
<h3>AI &amp; Automation</h3>
<ul>
<li>Explore opportunities to leverage AI and automation to improve analytics implementations, data quality and operational efficiency.</li>
<li>Support the development of AI-powered solutions and automated workflows that help clients streamline processes and maximise the value of their data.</li>
<li>Experiment with emerging AI technologies, tools and agents to solve client challenges and improve the way we work.</li>
<li>Collaborate with Artefact's Data Science, Technology and AI teams to integrate AI-driven capabilities into client solutions.</li>
</ul>
What we’re looking for
<ul>
<li>A Master’s degree in Marketing Analytics or Management, Business Administration, Information Science or a related field</li>
<li>Experience: Preferably 1–2 years in digital analytics, preferably at an agency or consultancy</li>
<li>Analytics tools: Hands-on experience with analytics platforms (e.g. Google Analytics, Amplitude or AppsFlyer) and tag management systems (e.g. Google Tag Manager).</li>
<li>Technical understanding: A good understanding of how websites, browsers and mobile apps work, including basic concepts such as HTML, JavaScript, cookies, APIs and network requests.</li>
<li>You don't need to be a developer, but you should be comfortable understanding and troubleshooting technical implementations.</li>
<li>Consent management: Understanding of consent principles, CMPs and Google Consent Mode; OneTrust experience is a strong advantage</li>
<li>Communication: Strong written and spoken English, with confidence in client-facing settings</li>
<li>Mindset: Analytical, detail-oriented and curious. You take ownership, learn new tools independently and aren’t afraid to challenge existing ways of working</li>
<li>A big plus: Interest in automation and AI, and familiarity with Python or R, AI tools or building AI agents</li>
</ul>
Why you should join us:
<ul>
<li>Learning and development: we are a team of passionate Data &amp; Analytics Consultant who are always ready to help each other. </li>
<li>Across our wide variety of projects, you will come across opportunities to learn and collaborate with some of the best in the field.</li>
<li>Career growth opportunities: we’re committed to your professional development. With a focus on continuous learning and promotions, you’ll have ample opportunities to advance your career at Artefact.</li>
<li>Culture of celebration: we take pride in our work and celebrate successes together. Expect regular team events, fun activities, and a collaborative spirit that makes coming to work enjoyable.</li>
<li>Competitive rewards: we offer a comprehensive benefits package including a competitive salary, phone &amp; travel reimbursements, remote work allowance and a Onefit membership discount.</li>
<li>Work-Life balance: maintain a healthy balance with a hybrid work environment that allows flexibility.</li>
<li>Fuel your day: Enjoy a delicious and healthy lunch provided daily with an extensive organic buffet.</li>
<li>Weekly unwind: relieve stress and promote relaxation with a weekly massage session from our office physiotherapist.</li>
<li>Centrally located: our modern office is conveniently situated next to Utrecht’s central station - perfect for easy commuting!</li>
</ul>
Join us now and be part of the future: Artefact is experiencing exciting growth, and this is the perfect time to join our dynamic team and contribute to our success story.
Apply today!

Junior Data & Analytics Consultant

<h2> </h2>
<h2>Who we are</h2>
<ul>
<li>Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung.</li>
<li>Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts.</li>
<li>Our 1,700 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients.</li>
</ul>
<h2>What you will be doing</h2>
As a Junior Software Engineer in our London office, your role will encompass:
<ul>
<li>working on engineering projects together with senior team members</li>
<li>training and certification to enhance your skills in software engineering, data science, and data architecture.</li>
</ul>
<h2>Qualifications</h2>
<h3>Necessary education and experience</h3>
<ul>
<li>Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.</li>
<li>Programming Proficiency: Strong programming skills in Python and a solid understanding of data structures and algorithms.</li>
<li>Software Engineering Fundamentals: A demonstrable understanding of version control and repository tools (Git, CI/CD) and a commitment to writing clean, well-documented code.</li>
<li>Data Skills: Experience with SQL for querying relational databases.</li>
<li>Problem-Solving Skills: An analytical mindset with the ability to break down complex problems into manageable steps.</li>
<li>Eagerness to Learn: A genuine passion for technology and a proactive attitude towards self-development and learning new skills, as demonstrated through projects or coursework.</li>
<li>Communication &amp; Collaboration: Strong verbal and written communication skills, with the ability to work effectively in a team environment and learn from senior members.</li>
</ul>
<h3>Desirable experience</h3>
<ul>
<li>Cloud &amp; MLOps Exposure: Basic familiarity with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker).</li>
<li>Core ML Knowledge: A good grasp of fundamental machine learning concepts, including supervised/unsupervised learning, model evaluation techniques, and feature engineering.</li>
<li>Advanced Education: A Master's degree or PhD in a relevant field is a strong plus.</li>
</ul>
Hybrid working pattern 
<h2> </h2>

Junior Engineer

Who we are Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. Our 2000 employees operate in 26 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients. What you will be doing As a Senior Engineer in our India office, you will support and develop client data platforms, with a focus on metadata management and data governance using enterprise tools such as Informatica Intelligent Data Management Cloud (IDMC). Your role would include: Platform maintenance: Run and support IDMC day to day, including Secure Agent management, connectivity, access control (asset groups, roles, SSO/SCIM provisioning), and environment promotion. Metadata engineering: Configure and troubleshoot metadata scans across cloud data warehouses, databases, CRM platforms, APIs and reporting tools, and resolve scan and profiling failures at scale. Data quality and governance: Build and maintain data quality rules, scorecards, business glossaries and data classifications, and keep them consistent across sources. Lineage: Map end-to-end data flow across the enterprise, so that data pipelines are visible and trusted. Automation: Use IDMC REST APIs, Python and bulk import/export to automate glossary loads, catalog clean-up, and governance workflows. Qualifications &amp; Experience Informatica Experience: Hands-on experience with Informatica IDMC in production (CDGC, Metadata Command Center or Data Quality), including platform administration, metadata scanning and lineage. Data Pipelines: Design, build, and maintain scalable and robust data pipelines using SQL and Python Data Integration: Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms. Stakeholder Collaboration: Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations. Team Leadership: Provide guidance and mentorship to junior data engineers, ensuring high-quality project deliverables. Data Governance: Develop and enforce best practices in data governance, security, and compliance within the organisation.
Senior Engineer Cloud Exposure: Strong experience with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker). Communication &amp; Collaboration: Strong verbal and written communication skills, with the ability to work effectively in a team environment and support the growth of more junior members. Desirable experience Advanced Education: A Master's degree or PhD in a relevant field is a strong plus. Reporting &amp; Dashboards: Optimise data retrieval and develop dashboards and reports for business teams. Technology Evaluation: Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function. Data Platform Expertise: Hands-on experience building and supporting solutions on one or more of Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow or PySpark.Informatica certification (IDMC, CDGC or Data Quality) or experience with other catalogs such as Collibra, Purview or Alation.

Data Engineer Informatica

<h2>Who is Artefact?</h2>
Artefact is a global consulting firm specialising in Data &amp; AI, dedicated to transforming data into measurable business impact. We combine business consulting with deep expertise in data, AI, analytics, and technology to help organisations accelerate their transformation.
Our multidisciplinary teams bring together consultants, data scientists, data engineers, AI engineers, and technology experts to deliver impactful solutions for leading organisations around the world.
As we continue to grow our Data &amp; AI capabilities in Southeast Asia, we are looking for an AI Engineer to join our team in Kuala Lumpur, Malaysia.
<h2>About the Role</h2>
As an AI Engineer, you will be a hands-on builder, working on the design, development, and deployment of AI and Generative AI solutions for our clients.
You will work within multidisciplinary teams and collaborate directly with client stakeholders to transform business challenges and ideas into practical, scalable AI solutions.
<h2>What You Will Be Doing</h2>
<ul>
<li>
Build &amp; Deploy AI Solutions: Design, prototype, test, and deploy AI/ML and Generative AI solutions, from PoCs through to production.
</li>
<li>
Generative AI &amp; LLMs: Develop solutions leveraging LLMs, RAG, embeddings, prompt engineering, AI agents, and other emerging GenAI capabilities.
</li>
<li>
Machine Learning: Develop and integrate machine learning and deep learning models using relevant frameworks and libraries.
</li>
<li>
Cloud &amp; AI Engineering: Build and deploy solutions using GCP, Azure, or AWS, including cloud-native AI services and data pipelines.
</li>
<li>
Solution Development: Contribute to the architecture and development of scalable, secure, and maintainable AI solutions.
</li>
<li>
Productionisation: Support deployment, monitoring, optimisation, and integration of AI solutions into client environments.
</li>
<li>
Client Collaboration: Work with business and technology stakeholders to understand requirements and translate them into technical solutions.
</li>
<li>
Continuous Innovation: Keep up with developments across AI/ML, Generative AI, LLMs, MLOps/LLMOps, and cloud technologies and apply them to real business use cases.
</li>
</ul>
<h2>What We Are Looking For</h2>
<ul>
<li>
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, AI/Machine Learning, or another relevant technical field.
</li>
<li>
Professional experience in AI Engineering, Machine Learning, Data Science, Software Engineering, or a related technical role.
</li>
<li>
Strong programming skills in Python and familiarity with SQL.
</li>
<li>
Hands-on experience developing Machine Learning and/or Generative AI solutions.
</li>
<li>
Experience with LLM-related technologies such as RAG, embeddings, prompt engineering, vector databases, or AI agents.
</li>
<li>
Familiarity with ML/AI frameworks and libraries such as PyTorch, TensorFlow, Hugging Face, or equivalent.
</li>
<li>
Experience with at least one major cloud platform: GCP, Azure, or AWS.
</li>
<li>
Good understanding of APIs, Git, software engineering practices, and the AI development lifecycle.
</li>
<li>
Strong analytical and problem-solving skills.
</li>
<li>
Good communication skills and the ability to collaborate with both technical and business stakeholders.
</li>
</ul>
<h2>What Would Give You an Advantage</h2>
<ul>
<li>
Experience taking AI/GenAI solutions from PoC into production.
</li>
<li>
Experience with MLOps/LLMOps, model deployment, monitoring, and lifecycle management.
</li>
<li>
Experience with Docker, Kubernetes, CI/CD, or other DevOps technologies.
</li>
<li>
Experience with frameworks and platforms for developing LLM or agentic AI applications.
</li>
<li>
Experience with modern data platforms such as Databricks, Snowflake, or BigQuery.
</li>
<li>
Previous experience working in a consulting or client-facing environment.
</li>
<li>
Experience working on enterprise-scale Data &amp; AI projects.
</li>
</ul>
<h2>Why Join Artefact?</h2>
Work at the forefront of AI. Build real-world solutions using Machine Learning, Generative AI, LLMs, and emerging technologies.
Build, not just advise. Take ideas from experimentation and PoCs through to solutions that can be deployed and used by clients.
Work with multidisciplinary teams. Collaborate with Data Scientists, Data Engineers, Consultants, and AI specialists across Southeast Asia and Artefact's global network.
Develop your skills. Gain exposure to different industries, technologies, and business challenges while continuously developing your technical and consulting capabilities.
Make an impact. Help leading organisations turn AI opportunities into practical solutions and measurable business outcomes.
Come and build the future of Data &amp; AI with us.

Artefact

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Senior Data Engineer (Databricks)

Junior Data & Analytics Consultant

Junior Engineer

Data Engineer Informatica

AI Engineer

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