Data Engineer

• Improve creator discovery across 400M+ profiles and billions of media files through retrieval, filtering, ranking, relevance, speed, and product decisions
• Build systems that generate and use embeddings from images, video, text, and audio at massive scale
• Evaluate models and technologies while balancing cost, latency, and quality
• Move promising search approaches from experiments into reliable production systems
• Shape problems, gather requirements, design architecture, write code, release features, measure outcomes, and iterate
• Inspect retrieval and ranking stages to identify and fix relevance issues
• Build and test multimodal embedding pipelines
• Collaborate with Data Insights on datapoint definitions, coverage, and data-quality requirements
• Test reranking models against real customer queries and assess relevance, latency, and inference cost
• Review production metrics, investigate regressions, and determine whether fixes belong in models, data, query logic, or product
• Collaborate with Data Core, Data Insights, product teams, customers, and company leadership
• Participate in intro, coding, system design, team, and CEO culture/alignment interviews

Senior Software Engineer – Data Search

• Design, architect, and develop high-performance data pipelines
• Develop Data Quality processes
• Implement robust cloud-native architectures
• Build infrastructure as code using Terraform
• Develop integration pipelines to industrialize the deployment of data platforms
• Use coding assistants and LLMs to accelerate development, generate boilerplate code, and optimize algorithms
• Prepare the data foundations required to feed AI systems
• Collaborate with Product Owners and Product Managers to translate business requirements into data architectures
• Participate in internal Guilds, promote best practices, monitor technology trends, and create reusable assets
• Work under the guidance of a Lead who ensures the overall quality of delivery

Junior Data Engineer

• Lead end-to-end data migration projects related to the Group’s acquisitions
• Organize and coordinate migration activities, define timelines, track progress, and anticipate risks
• Coordinate business teams, systems integrators, and the Data Department
• Ensure deadlines are met and provide regular reporting
• Design reusable migration pipelines using Python, SQL, Boomi, and Databricks
• Develop scripts to automate data validation and anomaly detection
• Build tools to track processed volumes, progress, and data quality
• Analyze data from acquired companies and map source data to the target model
• Perform end-to-end migrations, including extraction, transformation, and loading
• Identify and resolve duplicates, inconsistencies, and missing data
• Implement quality controls and support business teams in resolving anomalies
• Ensure data integrity before integration into target systems

Data Migration Lead

• Support teams in using and optimizing Snowflake
• Define and promote best practices for Data usage
• Contribute to standardizing Data architectures and processes
• Work on Data platform implementation and enhancement projects
• Provide technical expertise and advisory support to project teams
• Contribute to the continuous improvement of Data and Cloud environments
• Collaborate with Metaline’s recruitment manager, the technical team, and the client as part of the recruitment process

Data Engineer, Snowflake Expert

• Develop and enhance data pipelines using Python, AWS Glue, and dbt
• Contribute to the maintenance and improvement of existing data processes
• Write SQL queries to meet the needs of the Data team
• Participate in the integration of new tools and the implementation of inbound and outbound data flows
• Contribute to the deployment and evolution of the data infrastructure through Infrastructure as Code
• Participate in the development of AI agents and skills
• Experiment with new uses of AI in development and the automation of technical tasks
• Perform analyses and ad hoc queries
• Contribute occasionally to reporting and making data available in Tableau

Internship – Data Engineer, 6 months

• Define and maintain the integrated supply chain model and principles—covering processes, data, and tools—for the Industrial Directorate
• Define and assess scenarios for structuring the production bill of materials (BOM) and adjusting the design BOM
• Oversee implementation in PLM / SAP of the first forecast production BOM
• Ensure SAP data quality, particularly the quality of material requirements planning (MRP) calculations, during the transition and production phases
• Collaborate with a multidisciplinary team distributed across multiple sites in France and Germany
• Contribute to cross-functional projects with the engineering and systems ecosystem in a French-German environment
• Coordinate activities in a complex industrial environment
• Model physical flows as data flows

Supply Chain Data Architect

• Define and maintain the integrated supply chain model and principles in terms of processes, data, and tools
• Define and assess structuring scenarios for the production bill of materials
• Adjust the definition bill of materials
• Oversee implementation in PLM/SAP of the initial forecast production bill of materials
• Ensure SAP data quality, particularly the quality of net requirements planning (MRP), during the transition and production phases
• Coordinate activities with a cross-functional team
• Collaborate with engineering and systems teams in a French-German environment

• Define and maintain the integrated supply chain model and principles—covering processes, data, and tools—for the Industrial Directorate
• Define and assess scenarios for structuring the manufacturing bill of materials and adjusting the design bill of materials
• Oversee implementation in PLM / SAP of the first preliminary manufacturing bill of materials
• Ensure SAP data quality, particularly the quality of net requirements planning (MRP) calculations, during transition and production phases
• Collaborate with a multidisciplinary team distributed across multiple sites in France and Germany
• Contribute to interdisciplinary projects with the engineering and systems ecosystem
• Leverage forecast monitoring and testing

• Own AQEMIA's Bronze → Silver → Gold data pipelines end to end, from ingestion through transformation and delivery
• Model canonical scientific entities such as compounds, structures, assays and predictions
• Establish identity, provenance and trustworthy lineage across heterogeneous and messy sources
• Set and uphold data quality standards through monitoring, validation, testing and alerting
• Strengthen data governance and observability so datasets remain trusted and accessible
• Partner with ML engineers, data scientists and researchers to build curated, model-ready datasets
• Translate scientific and business requirements into scalable data solutions
• Drive data architecture and engineering best practices, including data modeling, testing, documentation, orchestration and deployment
• Collaborate with the Engineering Manager and Staff Data Engineer on roadmap execution
• Build self-service capabilities and future APIs for service-based integration and automation
• Conduct code reviews and mentor junior engineers

Senior Data Engineer

• Design, build, handle, and monitor Spark data pipelines for large-volume data lake ingestion, handling hundreds of TBs
• Continuously optimize the performance, reliability, and costs of big data pipelines and infrastructure
• Leverage Databricks, Snowflake, or AWS Redshift alongside AWS S3, Glue/Athena, and Lambda for scalable data engineering
• Manage, create, and optimize Delta Lake or Apache Iceberg tables
• Apply security-by-design, data governance, and compliance best practices across storage, compute, and sharing layers
• Join Odaseva’s R&D team and help shape the future of its secure data management platform for Salesforce environments

Data Engineer jobs in France

Senior Software Engineer – Data Search

Junior Data Engineer

Data Migration Lead

Data Engineer, Snowflake Expert

Internship – Data Engineer, 6 months

Supply Chain Data Architect

Supply Chain Data Architect

Supply Chain Data Architect

Senior Data Engineer

Big Data Engineer