Top Data Engineer Jobs in Paris

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

As a Senior Data & Platform Engineer, you will design and operate the data backbone for COMPASS, focusing on data modeling, ingestion, and collaboration with backend teams to ensure data quality and governance.

The Senior Python Developer will build and enhance data platforms for quantitative trading, ensuring code quality and performance while collaborating with teams.

Design and optimize data pipelines and warehouse models, conduct data quality analysis, and collaborate with business teams to meet data needs.

The Senior Data Engineer designs and builds high-quality data pipelines, ensuring reliability and adherence to engineering standards while collaborating with product and BI teams.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

Intern will build an AI-enhanced status page for the data platform, contribute to GCP migration, and develop the MVP interface while collaborating with stakeholders on UX and architecture.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

The Staff Software Engineer role involves setting technical vision, transforming legacy data, and developing applications for interoperability and integration services. The position also focuses on backend development and leading complex technical implementations with a user-first mindset.

Assist the Revenue Operations team in data management, improve lead scoring, analyze sales processes, and foster team collaboration.

The Senior Data Engineer will design and develop data platforms, manage large-scale financial datasets, and optimize data solutions to ensure analysis readiness for quantitative research and trading.

The Senior Data Engineer will design and manage data pipelines, integrate data into the data lakehouse, and collaborate with teams to optimize data usage and ensure data quality.

Design, build, and maintain scalable data infrastructure, ensuring data accessibility and security while collaborating with data teams to improve AI models.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

As a Senior Data Engineer, you will design and maintain data pipelines, monitor data flows, manage APIs, and collaborate closely with teams, impacting how artists understand their audience and enhancing user experience.

As a Platform Engineer, you'll design and implement data storage solutions, automate infrastructure, manage databases, and ensure system performance and reliability.

As a Senior Data Engineer at QRT, you will build scalable Data Lakehouse solutions, design software in the AWS cloud, develop data pipelines, and ensure data quality for trading desks.

As a Senior Backend Engineer, you'll develop backend services and APIs, collaborate with cross-functional teams, and ensure code quality and performance in a high-growth environment.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

As a Data Solutions Engineer, you'll implement data pipelines, design integration connectors, optimize data processes, and collaborate with teams to enhance client solutions.

As a Senior Analytics Engineer, you will build and maintain data pipelines, develop data marts and dashboards, and ensure data quality, while collaborating with stakeholders to meet their data needs.

As a Backend Engineer (Data Engineering), design and build scalable data pipelines and infrastructure for processing security data, ensuring reliability and performance.