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Data engineer building and running a retail data platform (datalake, ingestion, data sharing) on Google Cloud Platform for a major banking client. Day to day: designing and maintaining BigQuery data pipelines, exposing data for data scientists/analysts, production support, and FinOps cost optimization.
VISIAN is hiring a Data Engineer in Paris to design, build, and operate data processing pipelines and a datalake on Google Cloud Platform. Day to day: ingesting external data, automating daily/weekly/monthly aggregates with quality checks, industrializing solutions, and implementing CI/CD.
A data engineer designs and develops data solutions for the company's business functions, building Databricks notebooks, Azure Functions APIs, and SQL-based pipelines while collaborating with business teams and data scientists and ensuring quality documentation.
Septeo ADB (Lattes, near Montpellier) is hiring a permanent (CDI) Backend/Data Engineer for Immosearch, its cadastral and real-estate data platform. Day to day: driving backend development, API integrations and data pipelines around PIGE, DPE, DVF and AI, while strengthening security and best practices.
Akkodis France is hiring a Data Engineer on a permanent contract (CDI) in Villeurbanne to manage, architect, and optimize data on large-scale engineering projects. Core stack: SQL, Python, Spark/Hadoop, and cloud platforms (AWS/Azure/GCP); fluent English and autonomy are expected.
Talan's Lille office is hiring a confirmed/senior cloud data engineer to work on data integration projects covering acquisition, preparation, storage, and exposure of data. The role demands strong technical and solution-oriented skills, with partial remote work and ongoing training in an international group.
Data engineer consultant at Effidic handling client data projects end to end: gathering client needs, designing and deploying data warehouses and pipelines, and building dashboards in Power BI, Looker Studio, or Tableau. Based in France with partial remote work; pays €39–44k gross annually.
Akkodis (The Adecco Group's tech brand) is hiring a Data Engineer in Nantes for a long-term mission in the banking/financial services sector: building robust data pipelines to feed datamarts, modeling decisional information systems, and optimizing analytical databases. Stack includes Python/Java/Scala, ETL tools (Talend, SSIS, ODI), SQL, HP Vertica, Airflow, Hadoop/Spark.
A confirmed GCP Data Engineer designs and builds batch and real-time data pipelines while helping migrate an on-premise data ecosystem to Google Cloud Platform. The core stack includes BigQuery, Dataform, Dataflow, Cloud Composer, Cloud Run, and Cloud Functions, with a focus on data quality, freshness, and observability.
Consultant Data Engineer at WHIZE (a Neurones Group subsidiary specialized in data intelligence) who designs, builds and maintains data ingestion/transformation pipelines, data models and orchestration workflows in Python, SQL and dbt, with CI/CD practices on cloud data platforms like Snowflake. Based in Neuilly-sur-Seine with 2-3 days remote per week.
Permanent (CDI) data engineering role in Paris with NEXTON, embedded on a major banking client's account. Day-to-day work: building PySpark/Spark big-data pipelines, migrating a legacy Informatica ETL to PySpark, evolving orchestration with Airflow and Control-M, and designing performant REST APIs alongside business analysts.
Data engineer (NLP) in the clinical data center of CHRU Brest: runs the local node of the PARTAGES federated model-evaluation platform and builds Dagster-orchestrated ETL pipelines to prepare medical report corpora, evaluate consortium language models, and apply NLP use cases (pseudonymization, synthetic reports, automated medical coding). 6-month renewable full-time CDD.
Freelance data engineer (6–9 months) reinforcing a 3-person team that maintains and monitors an international data platform while the core team migrates it to the technical stack already used in France. Day to day: keeping country data platforms operational, supervising processing jobs, resolving incidents and user questions, communicating anomalies to stakeholders, and clearing technical and docu
Designs and maintains batch and real-time data pipelines feeding a datalake, working with Talend ETL, Python/PySpark on Databricks, and dbt, while implementing data quality, monitoring, CDC flows, and CI/CD best practices and supporting production releases.
Second Data Engineer joining a media-monitoring startup in Paris: you will challenge, optimize and scale the existing datalake, build reliable high-volume data pipelines, and develop new AI features while ensuring clean, secure client data. Focus areas are data engineering, media data at scale, and AI/automation.
Permanent (CDI) Data Engineer/Analytics Engineer role at Groupe ADSN in Venelles, France, focused on data integration and analytics in a hybrid AWS and on-premise environment. The engineer works with technical and business teams to optimize data collection, transformation, and exploitation while ensuring performance and reliability.
Senior Data Engineer at AQEMIA (Paris) who designs and builds the data platform powering AI-driven drug discovery: scalable Python/SQL pipelines on AWS with Snowflake, dbt, and Airflow, plus modeling scientific data like chemical structures and experimental results.
A senior data engineer joins the client's AI Lab to build a governed, secure, industrialized data platform from scattered sources (Microsoft Dynamics CRM, on-prem servers, Excel, external feeds), using Python, SQL, Spark and cloud data tooling, while setting architecture standards and preparing future AI projects.
Data-infrastructure engineer role in Lille, France: administer and run large-scale Big Data platforms for a major client, with hands-on Vertica work (install, operate, optimize), platform upkeep, L3 support, and helping BI/Data teams use the infrastructure. Core stack: Vertica, Linux, Shell/Python scripting, and ELK.
Designs, builds, and maintains data infrastructures for Klee Group, developing ETL/ELT pipelines and industrializing data solutions with CI/CD and MLOps. Works with SQL, Python (or Scala/Java), Big Data tools like Spark, Kafka, and Hadoop, AWS cloud, and DevOps/DataOps tooling such as Git and Airflow.