Hybrid Work-Study – Data Engineer

Posted 30 minutes ago

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About the role

  • Data Engineer in Veepee's Data Factory working on data ingestion pipelines and improving data quality. Collaborative environment utilizing Kubernetes, Python, Java, and modern data architectures.

Responsibilities

  • The work‑study student will contribute to stabilizing and industrializing the data ingestion platform to ensure a solid foundation for all Data use cases at Veepee.
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  • Activity 1: Stabilization of the ingestion stack
  • Add unit tests to existing pipelines
  • Improve test coverage
  • Identify fragile areas
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  • Activity 2: Continuous improvement of the Agate platform
  • Refactor technical components
  • Participate in performance optimization
  • Contribute to error handling and retry mechanisms
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  • Activity 3: Data quality & reliability
  • Implement automated checks
  • Contribute to quality metrics
  • Participate in technical monitoring
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  • Activity 4: Documentation & industrialization
  • Write technical READMEs
  • Formalize best practices
  • Assist in standardizing new pipelines
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  • Activity 5: Contribution to strategic projects
  • Contribute to the dual run (BigQuery ↔ new stack)
  • Support Data Governance / Data Science / Analytics teams
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Requirements

  • 🎓 Education
  • Bachelor's (BSc) to Master's (MSc) in Computer Science, Data, or from an engineering school
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  • 💻 Technical skills
  • Solid foundations in Python & Java
  • Understanding of APIs and data pipelines
  • Basic knowledge of SQL
  • Interest in modern data architectures
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  • 🌍 Languages
  • Technical English
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  • 🤝 Soft skills
  • Rigour
  • Technical curiosity
  • Eagerness to learn
  • Collaborative mindset
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Benefits

  • 👉Variable bonus
  • 👉Employer profit-sharing & incentive plans
  • 👉Remote work possible up to 2 days/week
  • 👉Online language-learning platform
  • 👉Access to CSE (works council) benefits
  • 👉CESU vouchers and holiday vouchers
  • 👉Access to company canteen and smart fridges
  • 👉Access to on-site gym

Job title

Work-Study – Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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