Top Data Engineer Jobs in Paris

Design, build, and maintain a scalable data platform and ELT pipelines; model data in Snowflake; ingest from PostgreSQL, Elasticsearch and third-party APIs; power BI and product analytics; ensure data quality and governance; collaborate with stakeholders and mentor other engineers.

Design and implement a scalable, real-time data architecture to ingest public data sources, map exposed secrets to organizations, and analyze impact. Lead production deployments, monitoring, and maintenance while mentoring engineers, collaborating with backend/ML/Data teams, and driving roadmap and architectural decisions.

Design, build, and operate scalable data services and pipelines (real-time and batch) powering recommendations, search, and product-facing APIs. Evolve cloud data infrastructure, IaC/CI-CD, observability, and Snowflake data models; integrate AI/LLM features and collaborate across product, backend, and data science teams.

Design and implement scalable features, build data pipelines, collaborate with cross-functional teams, and enhance data infrastructure for improved decision-making.

The Senior Data Engineer will build and maintain data pipelines, distributed ETL/ELT workflows, and data storage systems while collaborating with various teams to optimize data quality and performance.

Lead Finance data engineering: own end-to-end pipelines for financial and regulatory processes (IFRS 17), ensure scalability, auditability, quality and governance, design large-scale processing, document lineage and models, provide hands-on technical leadership, mentor engineers, and collaborate with finance, actuarial, risk and AI stakeholders to evolve data engineering practices for analytics and AI.

Build and operate the data and ML platform for non-invasive neural interfaces: ingest, version, process, and serve large-scale neural data; create dataset pipelines, distributed training, experiment tracking, model deployment, and tooling; manage cloud and GPU compute; improve data quality, metadata, monitoring, and reproducibility; collaborate with ML engineers, neuroscientists, software engineers, and product teams.

Design, build, and maintain scalable, reliable data pipelines and architectures for BeReal. Own projects end-to-end, contribute code to production, collaborate with backend, data science, product and marketing, and advocate best practices in data engineering.

Design, build, and maintain robust, scalable data pipelines; own projects end-to-end from scoping to production; collaborate with backend, data science, product and marketing; champion data engineering best practices and support analytics at scale.

Design, build, and operate robust production data pipelines and platforms; contribute code and maintain production systems; integrate AI/LLM tooling into platform workflows; own projects end-to-end from scoping to release; collaborate with engineering, data science, product, and marketing in an agile environment.

The Staff Engineer will define architecture, lead data pipeline design, ensure platform reliability, and mentor engineers, driving data initiatives and technical standards.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

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.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Design and scale mission-critical market data services for stocks, options, crypto, and foreign exchange. Responsibilities include architecting backend systems and APIs, maintaining software quality and test coverage, participating in code reviews, and troubleshooting incidents and bugs. The role uses Go and Python with REST, gRPC, WebSockets, SSE, Docker, Kubernetes, Google Cloud, BigTable, Prometheus, Grafana, and ELK.

The Lead Data Engineer at Ipsen Pharma will define and standardize data engineering practices, build tools for automation, and lead community engagement while ensuring consistent solutions across teams.

Own and grow the Data Layer: build and operate ingestion, transformation, reconciliation, and serving pipelines (raw→refined→curated). Use agentic AI tools to accelerate delivery, ensure data correctness, and partner with backend, AI, and product teams to define reliable data contracts.

Design, build, and maintain streaming ingestion pipelines and migrate SaaS pipelines to in-house infrastructure. Deliver resilient, idempotent data into Snowflake, improve AWS streaming stack, manage IaC with Terraform, monitor and troubleshoot production pipelines, and collaborate on safe data access for AI tooling.

Design, build, and scale high-performance data pipelines and infrastructure (ingestion, transformation, storage, modeling, serving) using ClickHouse, Postgres, Python and dbt. Manage data quality, reliability, and observability at terabyte and 500M+ address scale, collaborate with researchers and product, mentor engineers, and leverage AI tools to accelerate work.

Design and develop UWB, radar and camera-based data fusion algorithms and sensing features. Perform DSP analysis, feature extraction, algorithm optimization, AI model integration, end-to-end integration and validation, and cross-team collaboration for automotive sensing products.

Own and evolve the core data platform: warehouse design, dbt transformations, and production AWS pipelines. Refactor and harden API-driven data flows, ensure observability and testing, partner with backend and product teams, and contribute to data-aware backend features to deliver reliable, product-focused data.

As a Senior Software Engineer, you'll design and build scalable market data systems, improve API architecture, and enhance overall system performance, contributing to Alpaca's infrastructure for trading financial assets.