Posted 2mo ago

Data Engineer/Data Analyst Senior - FR

@ Photon
France
OnsiteFull Time
Responsibilities:Develop pipelines, Transform data, Optimize deployment
Requirements Summary:Senior data engineer and data analyst with experience building data pipelines, transforming big data, optimizing deployments on GCP, and developing monitoring for KPIs.
Technical Tools Mentioned:BigQuery, Python, SQL, GCP, CI/CD, APIs, Data Lake, Datalake, DAM, Encoder, Product detection, Monitoring
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Job Description
Senior Data Engineer / Data Analyst Profile

Senior Data Engineer/Data Analyst profile to manage applications related to the CDMO (Chief Digital & Marketing Office) business, within a dynamic team with diverse roles (Tech Lead, Full Stack Developer, Data Scientist, Product Owner, QA, etc.).

One of the applications, One Creative, provides a comprehensive view of media asset performance and optimization—from global strategy down to local activation.

The mission includes:

  • Developing and maintaining data pipelines for:
    • Data sourcing (BigQuery Datalake)
    • Downloading video assets via social media platform APIs
    • Creative analysis (internal Augmented DAM application)
    • Automation of AI workflows (embedding, clustering)
  • Transforming raw Datalake data into optimized tables for the One Creative application (merging performance KPIs, metadata, creative data, etc.)
  • Optimizing backend deployment on GCP
  • Improving the codebase by adding unit and integration tests to Python code
  • Developing an initial monitoring layer for retrieved data (assets, KPIs)
  • Modernizing technical components (thumbnails, product detection, encoder) with more modern and efficient approaches
  • Optimizing the CI/CD pipeline
  • Working on the migration of the Augmented DAM backend (another internal application used as a service within One Creative)
  • Developing SQL queries to source data into Datalake tables, based on inputs from the Data Business Owner
  • Documenting data extracted from the Datalake using documentation and data diagrams
  • Ensuring the quality of consolidated data in the application compared to source data
  • Supporting the development of monitoring metrics for application KPIs
  • Analyzing and cross-referencing data to generate new insights (creative data driving the highest performance, etc.) and benchmarks

Languages

  • French (native)
  • English (professional)