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Lead Data Engineer building and evolving a data platform to support business, BI, and AI usage, defining data architecture standards, leading robust and scalable data pipelines, and mentoring the data engineering team.
Data Engineer/Tech Lead maintaining and enriching a Datalake in the aerospace sector using Java, Spark, and GCP (Dataproc, Dataform, GCS, Terraform), with BigQuery and Python support. Hybrid role in Toulouse.
Data Engineer developing, maintaining and industrializing Python ETL pipelines to structure and standardize health data for a hospital's Data Factory, collaborating with scientific and infrastructure teams.
Senior Data Engineer specializing in GCP/BigQuery for an aerospace and air transport company, working 3 days on-site in Toulouse and 2 days remote. Core technologies include GCP, BigQuery, and CI/CD.
Data Engineer in the BI & Data Science team at an insurance brokerage, responsible for collecting, analyzing, and maintaining data and designing monthly reports using SQL, Power BI, and Azure.
Design and optimize GCP data pipelines (BigQuery, Dataflow) to deliver reliable data to analysts and data scientists, with responsibilities in data governance and security in a hybrid team setting.
Data Engineer working on GCP to industrialize data pipelines, manage ML environments, and implement CI/CD and MLOps practices for a banking client.
An experienced data engineer for industrial data engineering, focusing on smart manufacturing and IoT, responsible for designing data architecture components, ingestion flows, and data quality rules while coordinating with OT connectivity and ensuring compliance with cybersecurity and export-control requirements.
Riot Security Inc. in Paris is seeking a GTM Engineer / Growth Outbound Manager to own our outbound growth engine. You will design data pipelines, tooling, and playbooks that turn market signals into predictable,…
Senior Data Engineer role at Free-Work (outstaff) for a banking client in Nantes, combining GCP architecture deployment, BigQuery data pipelines, and data governance with 2 days remote work. Requires 6+ years experience.
Designs, develops, and industrializes predictive models and dashboards using Databricks. Engages with stakeholders to gather requirements and deliver adapted solutions.
Data Engineer and Project Manager for Data, responsible for developing, maintaining data infrastructures, piloting data projects, and contributing to system improvements, collaborating with DSI and business units to ensure data continuity, performance, and governance.
A Data Engineer at E-SI manages data collection, storage, and organization for internal and external data, collaborates with business units, and leads BI projects using Tableau, Power BI, and Oracle BI to support strategic decisions.
Data Engineer working on GCP to industrialize data pipelines, manage MLOps and FinOps, using technologies like BigQuery, GCS, Python, and SQL for a banking sector client.
Senior Python Data Engineer building and industrializing ETL pipelines for massive health datasets within a Big Data and AI framework at a cancer research center in Lyon.
Data Engineer - Python position at Centre Léon Bérard in Lyon, France. The role involves developing, maintaining, and optimizing ETL processes in Python, automating data processing, and contributing to data infrastructure projects, particularly in the healthcare domain with a focus on cancer research data.
Builds responsive front-end interfaces (HTML/CSS/JS/TS) and Python APIs to ingest/process data, then designs client-facing visualizations with UX/accessibility focus in an illicit trade analytics context.
Lead Data Engineer managing a 3-person team to design scalable data architectures, build massive data lakes/warehouses, and optimize indexing/performance for a SaaS company specializing in scientific/technological/economic data analysis.
Builds and maintains ETL pipelines for a fintech firm’s decision-support system, focusing on data ingestion, Oracle loading, and Semarchy mappings to feed analytics.
Builds and optimizes data pipelines, cloud-based data platforms, and AI-driven solutions; bridges business needs with technical execution using Python, SQL, and generative AI tools.
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