Data Engineer | Pipelines With a Mission (AI Track Inside)

Thales
Bucharest
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: []

Build ETL/ELT data pipelines and data platforms that feed real European operations across major programs. Work on big data pipelines and orchestration while using Python, SQL, and Spark, with Airflow-like tooling. Grow into an AI factory pathway for roles moving toward ML engineering, partnering with engineers who treat data like production code and hire based on trajectory.

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FursaFursa
Thales
Thales
1 month ago

Data Engineer | Pipelines With a Mission (AI Track Inside)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build ETL/ELT data pipelines and data platforms that feed real European operations across major programs. Work on big data pipelines and orchestration while using Python, SQL, and Spark, with Airflow-like tooling. Grow into an AI factory pathway for roles moving toward ML engineering, partnering with engineers who treat data like production code and hire based on trajectory.
Location: Bucharest
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop ETL/ELT pipelines and build data platforms that feed real European operations.
  • •Build and maintain big data pipelines for European programs.
  • •Use data modeling and orchestration (Airflow or similar) to manage data workflows.
  • •Work toward an AI factory growth path for candidates interested in moving toward ML engineering.
  • •Collaborate with the engineering center to deliver production-grade data solutions.

Pay and Benefits

Perks:Health InsuranceMeal TicketsLearning BudgetCertifications

Key Requirements

  • •2+ years of experience in data engineering.
  • •Experience building ETL/ELT development and data pipelines on production systems.
  • •Strong hands-on skills with Python and SQL.
  • •Experience with Spark (or equivalent) and data modeling.
  • •Experience with orchestration tools such as Airflow (or similar); cloud data services and SAP exposure are welcome.
Experience:2+ years
Languages:French
Tech Stack:PythonSQLSparkETLELTData modelingAirflowOrchestrationSAP

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