Ingénieur Data (H/F)

Thales
France
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Teamwork","Best practices","Problem-solving","Proposing alternatives"]

Develop end-to-end data use cases and build maintainable, scalable data processing pipelines for data integration in an Agile, multidisciplinary environment. Ensure data quality, performance, and reusability, write automated technical tests, and manage deployments via Git and sprint documentation. Partner with data governance, the Product Owner, and Data Analysts to model data and unblock technical topics, in a high-impact sector (energy and nuclear).

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FursaFursa
Thales
Thales
3 hours ago

Ingénieur Data (H/F)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Develop end-to-end data use cases and build maintainable, scalable data processing pipelines for data integration in an Agile, multidisciplinary environment. Ensure data quality, performance, and reusability, write automated technical tests, and manage deployments via Git and sprint documentation. Partner with data governance, the Product Owner, and Data Analysts to model data and unblock technical topics, in a high-impact sector (energy and nuclear).
Location: France
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Implement data use cases end to end.
  • •Develop and maintain data processing and data integration pipelines, ensuring quality, maintainability, performance, and reusability.
  • •Create maintainable, scalable, reusable, optimized implementations following naming and best-practice rules.
  • •Run automated technical tests (unit tests, non-regression tests) and associated traces, and handle proper deployment/versioning under Git.
  • •Produce technical documentation per sprint and collaborate on data modeling with governance, the Product Owner, and Data Analysts.

Key Requirements

  • •Significant experience in data development in a multi-technology environment.
  • •Ability to work in a team and apply software development best practices.
  • •Experience covering the full data processing chain, from use cases through delivery.
  • •Interest in data and data-creation capabilities (artificial data production) is a plus.
  • •Ability to intervene on end-to-end data integration and processing developments.
Skills:TeamworkBest practicesProblem-solvingProposing alternatives
Tech Stack:PythonPySparkApache SparkAirflowSQLPostgreSQLScalaApache IcebergApache NiFiGitBashGCPJava

Eligibility

Security Clearance:Secret

Company Brief

Thales
Designs and delivers advanced systems and services for aerospace, defence, security, and digital identity and cybersecurity markets, serving government and commercial customers worldwide.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 2000
WebsiteLinkedIn