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Data Engineer

France

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Indexed description

We're looking for a Senior Data Engineer to design, build, and optimise robust data pipelines that process massive datasets in both batch and real-time. Working at the intersection of software engineering and data science, you'll ensure our data architecture is scalable, reliable, and follows industry best practices - building systems that power B2B data products at global scale.


Engagement details:

  • Location: Poissy, France
  • Contract type: Permanent/Contract
  • Start date: ASAP
  • Work model: Hybrid


Responsibilities:

  • Design and implement complex data processing pipelines using Apache Spark
  • Build scalable, distributed systems for high-throughput data streams and large-scale batch processing
  • Design and implement real-time pipelines with strong data quality and validation controls
  • Manage and provision cloud infrastructure using Terraform
  • Implement CI/CD workflows using GitHub Actions for automated testing and deployment
  • Uphold rigorous engineering standards — unit/integration testing, code reviews, and clean documentation
  • Translate business requirements into technical specifications alongside cross-functional stakeholders


Qualifications:

  • Degree in Computer Science, Engineering, Mathematics, or related field preferred
  • 5+ years in data engineering and the software development lifecycle
  • 4+ years hands-on with AWS cloud services
  • 4+ years building production data applications across relational and columnar data stores
  • Deep expertise in Apache Spark — Core, SQL, and Structured Streaming
  • Strong proficiency in Scala or Java for JVM-based production development
  • Advanced SQL for transformation, analysis, and performance tuning
  • Hands-on experience with Terraform and GitHub Actions
  • Experience with Apache Flink for low-latency stream processing
  • Proficiency in Python for automation and scripting
  • Familiarity with Kafka, event-driven architectures, and streaming data
  • Experience with workflow engines — Airflow, Luigi, or Azure Data Factory
  • Familiarity with Lakehouse architectures (Delta Lake, Iceberg) or NoSQL databases


Next Steps

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  • If qualified, you will be accepted into the network and can be considered for this and similar positions
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