Top Data Engineer Jobs in Paris

The Data Engineer will build and maintain data infrastructure for the Too Good To Go platform, focusing on data ingestion, modeling, and operational support. Collaborating with cross-functional teams, this role emphasizes delivering quality data products and simplifying complex processes.

Design, build, and maintain scalable data pipelines. Optimize workflows on Databricks and Snowflake, ensuring data security and governance while preparing for AI/ML use cases.

Lead technical direction and hands-on implementation of semantic infrastructure for telemetry interoperability. Build scalable systems bridging OpenTelemetry, cloud and customer data models; define standards, mentor engineers, run on-call rotations, and drive cross-team platform initiatives for schema evolution and AI-enabled observability features.

Own end-to-end AI-automated data platform migration projects (1-4 concurrently): scope, plan, execute, and hand off. Act as primary customer contact, configure Datafold's Migration Agent, partner with engineering on execution, and help refine delivery playbooks.

Design, build, and operate scalable Databricks data pipelines and Lakehouse data models using SQL, Python, and PySpark. Implement ELT/ETL and streaming patterns, data quality checks, Unity Catalog governance, performance optimization, monitoring, documentation, and operational support.

Design, build, and maintain scalable data pipelines and storage for fraud detection. Support fraud analytics, feature engineering, model integration and serving, pipeline monitoring, and documentation. Collaborate with data, product, and engineering teams to enable detection, reporting, and operationalisation of fraud models.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

As a Data Analyst, you will analyze data to drive insights, create reports and dashboards, and collaborate with teams to optimize product performance.

As a Data Engineer, build and optimize high-performance data infrastructures for deep learning by managing large volumes of raw video data, ensuring efficient processing pipelines and data quality.

As the Data Engineer, you will design and maintain data pipelines, scale data infrastructure, ensure data quality, and collaborate with analysts to enhance decision-making capabilities.

Build and maintain GTM systems and data pipelines: design data models, develop internal FastAPI/React apps, lead an OpenAI Agent-based GTM AI layer, drive architecture and CI improvements, perform code reviews, and collaborate with Sales, RevOps, Data, and R&D to increase adoption and reliability.

Design, build, and operate petabyte-scale batch, streaming, and reporting pipelines. Optimize storage and compute (lakehouse), own ClickHouse/Cube reporting contracts, lead on-call and incident response, build alerts/SLOs/runbooks, and influence upstream schemas and SLAs.

Design, build, and maintain large-scale data pipelines and tooling for petabyte-scale logs, events, and model traces. Ingest, clean, transform, version, and monitor datasets; ship analytics and dashboards; support production, testing, and research workloads; troubleshoot pipeline issues and improve reliability.

As a Data Engineer, you will develop data pipelines, support data scientists, deploy cloud infrastructure, and collaborate within the data community.

Support the data team to build and maintain dbt data models, create Metabase dashboards, run data quality checks, and collaborate with teams to enable data-driven decisions.

Design, build, and operate enterprise reporting and analytics platforms. Create scalable ELT/ETL pipelines, master data foundations, and lakehouse/warehouse semantic models. Deliver Power BI datasets and dashboards, implement data quality, governance, DevOps practices, and cost-management data solutions. Partner with finance and stakeholders and provide technical leadership across architecture, deployment, and run-state support.

Lead data engineering efforts, manage data governance, ensure compliance, and oversee data platform economics while designing scalable systems.

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.

As a DevOps Engineer, you will ensure the reliability, scalability, and performance of database platforms, automate operations, and support Kubernetes adoption, while collaborating with engineering and data teams.

The Software Engineer will enhance the data ingestion pipeline, collaborating with scientists for model training and data optimization, while managing cloud infrastructure.

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.

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.

Build the companys first data stack and data products (internal analytics and customer-facing). Work across data engineering, devops, and software tasks; ship early features, improve developer experience, document proposals, and iterate based on feedback.

Design, build, and maintain production ELT pipelines for high-volume streaming spatial and telemetry data. Architect Databricks/AWS schemas for ultra-low latency and zero-data-loss. Develop and optimize a central semantic layer using Cube.js for reliable data consumption. Ensure LLM-agent friendly semantic modeling, automation of pipeline unit tests, and package integration blueprints for Professional Services.

Build and operate Qonto's data governance framework for banking compliance: define quality rules, implement dbt tests and source controls, monitor and remediate data issues, drive adoption of governance tooling, and automate governance workflows leveraging AI to ensure traceable, audit-ready reporting.