Find your next company in Data & AI

Why consider it

For experienced data engineers who want to support model development while building infrastructure used by product and business teams. The work connects data infrastructure to model development.

What the employer describes

Data Engineer, Senior

The role covers ETL pipelines, automated data checks, governance and support for model training and deployment. Python, SQL and dbt are named requirements. The advertisement asks for 10+ years in data engineering, despite the more general “Senior” title.

Location and requirements

Paris, on-site, full-time. The hiring process includes Python/SQL live coding and system design.

Ask before applying

How much of the role supports the science team, and how much serves product analytics and business reporting?

Why consider it

For ML engineers who enjoy maintaining libraries and working with users in public. This role offers a concrete path into open-source engineering through tools already used by ML practitioners.

What the employer describes

Open-Source Machine Learning Engineer — EMEA Remote

The description names Transformers, Datasets, PyTorch and vLLM. It asks for strong Python, deep-learning experience and a public contribution history that reviewers can inspect. Community interaction is part of the work.

Location and requirements

EMEA remote; the listing’s location field is Paris, France. The specific countries where the company can employ this hire need confirmation. Written English and demonstrable open-source work matter; the description sets no numerical experience threshold.

Ask before applying

Which library would I maintain, and how is time divided between implementation, reviews and community support?

Why consider it

For backend engineers interested in the systems that make data platforms run. The role builds services used by data teams.

What the employer describes

Software Engineer - Backend

The description gives possible assignments in distributed services, cloud storage access, orchestration and pricing infrastructure. It asks for at least two years of production experience in Java, Scala, C++ or a similar language, plus distributed-systems experience and SQL.

Location and requirements

Amsterdam, Netherlands. The reviewed role does not specify office attendance. Assignments vary between backend teams; the listed technologies do not establish the eventual team’s exact stack.

Ask before applying

Which backend team is hiring, and what production systems would I own during my first six months?

Why consider it

For experienced systems engineers interested in data lake storage and query infrastructure. The selected opportunity is specifically within Fivetran’s Managed Data Lake team.

What the employer describes

Principal Software Engineer - Data Lakes

The role includes large-scale data lake systems and contributions to projects such as DuckDB and Polaris. The stack names Java, C++, Iceberg and Parquet. It asks for six or more years working on high-performance relational data systems and experience leading substantial projects.

Location and requirements

Full-time remote within Germany. The careers material describes a transition combining Fivetran and dbt Labs; confirm the hiring entity and reporting structure. Principal-level scope requires more than general experience using dbt.

Ask before applying

What architecture decisions would I own, and how are the teams’ responsibilities changing during integration?

Why consider it

For platform engineers who want to build the cloud services behind vector search. The selected job concerns the managed platform’s control plane and internal APIs.

What the employer describes

Senior Software Engineer Platform

The role covers shared services, gRPC migration, eventing and cluster control. It asks for five or more years in platform, infrastructure or distributed systems, with Go/Python and Kubernetes experience. Production support and incident response are also mentioned.

Location and requirements

Remote. The listing names Germany, France, the Netherlands and Spain. Treat those as the advertised locations; confirm any other country before applying.

Ask before applying

What is the incident-response commitment, and how much time is protected for platform engineering?

Why consider it

For someone starting in product analytics who wants to understand how people use enterprise AI software. The advertised responsibilities include support from senior colleagues, making this the clearest early-career option in the selection.

What the employer describes

Product Analytics

The work includes product metrics, dashboards, data-quality checks and analysis with product and engineering teams. Basic SQL and Excel are required; Mixpanel, Dataiku and Python experience are advantages. Internships and academic projects count as relevant initial experience.

Location and requirements

Paris, France. Office attendance and contract type are not specified in the reviewed description. This opportunity centres on analysing product use.

Ask before applying

Who would review my analyses, and which product decision would I help inform first?

Why consider it

For a product analytics manager who wants to guide a small team and influence product priorities. The work combines analysis with people management and senior stakeholder decisions.

What the employer describes

Senior Manager, Product Data Analyst

The description assigns leadership of three analysts, quarterly priorities and advice to product leadership. SQL, dbt and visualisation tools are named, alongside previous analyst and management experience.

Location and requirements

Barcelona area, Spain; hybrid. The role does not give an office-day schedule or numerical experience threshold. Candidates should want management responsibilities as well as analytical work.

Ask before applying

Which decisions does the team influence, and how much of my week would involve hands-on analysis?

Why consider it

For experienced data professionals who want to coordinate product data science in advertising. Measurement, incrementality and product decisions give the role a defined business context.

What the employer describes

Project Leader - Product Data Science

The role coordinates data science contributors, shapes roadmaps with Product and R&D, and applies statistics and modelling to product questions. It requests 6–10+ years in analytical work, at least two years of project management, a quantitative master’s degree or higher, and fluent English.

Location and requirements

Paris, France; hybrid, permanent full-time. Office frequency is unspecified. Advertising measurement and identity-related work should be domains the candidate wants to engage with.

Ask before applying

What is the balance between project coordination and direct modelling, and which measurement problem would I own?

Why consider it

For data scientists who want to connect models and experiments to physical operations. The description offers concrete problems involving delivery estimates, warehouse algorithms and carrier routes.

What the employer describes

Data Scientist

The role spans analysis, ML, experimentation and data tooling. Python, SQL and the Fivetran/BigQuery/dbt stack are named. The advertised package targets five to ten years of experience and gives an annual salary range of €65,000–€95,000, plus an equity grant described separately by the employer.

Location and requirements

Paris; hybrid, full-time; fluent French and English. The text still refers to growth plans for 2025, although the role is present in the active board. Confirm the current team and scope.

Ask before applying

What is the first operational problem to solve, and how is work split between models and data infrastructure today?

Why consider it

For senior platform engineers interested in data infrastructure supporting healthcare software. The selected opportunity combines architecture, reliability and cost decisions across a Data and AI Platform team.

What the employer describes

Staff DataOps Engineer (x/f/m)

The description covers multi-region pipelines, monitoring, security and technical guidance. It names GCP, Kubernetes, Terraform, Dagster, BigQuery and dbt, and requests seven or more years of relevant experience after graduation.

Location and requirements

Paris; permanent, full-time. The description does not establish a standard weekly remote-work allowance. Staff-level architecture responsibilities and the handling of sensitive information deserve discussion with the team.

Ask before applying

What are the platform’s reliability commitments, on-call duties and boundaries around access to sensitive data?