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Data Infrastructure Engineer at Mistral AI, building and operating exabyte-scale data lakes, storage, and multi-cluster compute orchestration (Kubernetes/SLURM) that power frontier model training and fine-tuning. Work spans Python, columnar storage formats, metadata/lineage systems, and on-call for critical training jobs.
Senior Data Analytics Engineer at consulting group Talan, building Microsoft Fabric and Azure analytics platforms for client projects: semantic models, Gold-layer star schemas, dbt/Spark/Data Factory pipelines, DAX/SQL performance tuning, CI/CD, plus production ownership and knowledge sharing.
Data Platform Engineer at Leetchi (part of the Donora group, merged with iRaiser) in Paris: design, build, and run a unified data platform, migrating and standardizing pipelines to a modern stack (Snowflake, dbt Core, Airflow) with a focus on data security and governance. Key autonomous role collaborating with teams in France and Europe.
Data Engineer with a French IT-infrastructure consulting firm (ESN), working on data projects for a major transport-sector client in Saint-Denis (IDF): build and optimize large-scale pipelines (batch, streaming, API), implement a Bronze/Silver/Gold medallion Lakehouse on AWS using Spark, DBT and Iceberg, orchestrate with Airflow and provision with Terraform.
Senior ClickHouse/data engineer contract (€460–520/day) with a telecom leader split between Paris and Montpellier: own and optimize a ClickHouse platform ingesting CDR session data via Kafka with Grafana/Superset dashboards, drive an architectural transformation, and mentor internal engineers.
Technical lead who designs and industrializes a knowledge base (knowledge graphs, ontologies, vector/semantic search) powering AI agents that assist software development teams across the SDLC; builds governed data pipelines and production data services while guiding architecture and upskilling teams.
Data Engineer at Keyrus, a data & AI consulting group: designs and industrializes robust data pipelines and modern cloud data platforms (Snowflake, BigQuery, Databricks, Spark, Airflow/dbt), preparing governed data for BI and generative/agentic AI (RAG, vector databases). Hybrid role in Bordeaux or Nantes.
Senior data engineer at Genesis AI in Paris building and owning petabyte-scale data infrastructure — data models, storage, ingestion, and orchestration — that powers robotics foundation model training and evaluation, standardizing pipelines across teleoperation and synthetic datasets. Core stack: Python, Go, Spark, Kafka, and data lakes.
10-month freelance AI & Data Engineer mission in Paris (2–3 days remote/week) placed by recruiter Hanson Regan. The engineer builds ML/DL solutions with TensorFlow, PyTorch and Python ML libraries, plus MLOps work: MLflow, Git, CI/CD, Docker/Kubernetes and Terraform cloud provisioning. French C2 required.
Lead Data Engineer to design and drive modern, scalable, secure data architectures on Azure and/or GCP, build reliable data pipelines, technically mentor the data engineering team, and set standards for governance, CI/CD, Infrastructure as Code and monitoring. Permanent (CDI) role in Boulogne-Billancourt; core stack includes Python, SQL and cloud data services.
Data engineering consultant at ActinVision delivering client data projects end to end: needs analysis, estimating, architecture design, development, source control and continuous delivery, plus monitoring, optimization and client coaching. Core stack: Microsoft Fabric/Databricks, SQL, Spark, cloud data platforms and Power BI.
Laboratoires Pierre Fabre (pharma/cosmetics group) seeks a senior AI & Data Platform Architect/Engineer to design and industrialize the Group's Data & AI platforms from experimentation to production. The hands-on role requires building secure, traceable, scalable architectures in collaboration with Data & AI, Cloud, Cybersecurity and DevSecOps teams.
Data Engineer at Heuritech (Luxurynsight group) in Paris, owning the end-to-end data pipeline that crawls social media and events data, feeds computer-vision-based fashion trend forecasts, and delivers trustworthy data company-wide. Core stack: Python, SQL, dbt, Snowflake, Airflow, Celery, Kubernetes, AWS, Datadog.
Freelance Tech Lead Data Engineer (Grade C) placed by Nicholson-SAS at a major luxury-sector client in Paris: leading data engineering work, ensuring data quality and cloud pipeline performance in Agile/TMA fixed-price mode. Hybrid (2 days/week on-site), €400/day max, ASAP start until 31/12/2027.
Lead Data Engineer at Yumaincap, based in Boulogne-Billancourt (permanent contract), who designs cloud data architectures on Azure and GCP, mentors Data Engineering teams, and delivers robust pipelines with governance, security, CI/CD and Infrastructure as Code, working alongside business, Data Science and BI teams.
Data engineer at Khome (a Crédit Agricole subsidiary run by La Fabrique by CA) building and maintaining AWS-hosted data pipelines, Lambda-based statistical computations, and model-training pipelines that power AI-driven real-estate asset scoring for banks and investors. Works mainly in Python.
Senior data engineer (5+ years) to evolve a cloud data platform for Astek's client in Toulouse: design and maintain GCP data pipelines, optimize BigQuery performance and Java/Spark code, and structure Git repos and CI/CD chains. Core stack: GCP, BigQuery, Java, Spark, GitHub/GitHub Actions.
Jems Group is hiring a Tech Lead Data Engineer in France to drive data access, quality and industrialization, write data standards and operating documentation, lead a team, and support pre-sales. Core stack: SQL plus object-oriented languages (Python/Java/Scala).
Senior data engineer building ETL pipelines that ingest and transform industrial IoT flows to power public-sector and Smart-City applications at Eridanis, with pipeline monitoring and industrializing AI components per project. Core stack: Python, Docker, Kubernetes, working closely with product and dev teams.
At Consort Group (IT/data consulting) in Toulouse, a Data Analyst/Data Engineer uses Palantir SKYWISE, Contour and Workshop to gather business needs, analyze data, build dashboards and business apps, and support users, with some automation via Google Apps Script.
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