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Data Engineer

Bayer

Warsaw, Mazowieckie, PolandOn Site

Original Job Summary

Data Engineer at Bayer

At Bayer we are visionaries, driven to solve the world’s toughest challenges with energy, curiosity, and sheer dedication. Join our diverse team to help build a future where health for all and hunger for none is a reality.

Key Responsibilities

  • Support the ingestion, transformation, and delivery of data across AI and analytics systems
  • Build and maintain data pipelines and APIs
  • Clean and transform raw data into usable formats
  • Ensure data availability and reliability for modeling
  • Maintain documentation and track data lineage

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 2+ years of experience in data engineering or software development
  • Proficiency in Python, SQL, and data pipeline development

Preferred Qualifications

  • Experience with cloud platforms and data APIs
  • Familiarity with data transformation and validation techniques
  • Strong documentation and collaboration skills

What We Offer

  • Flexible, hybrid work model
  • Modern office in Warsaw
  • Career development, mentoring, and 360° feedback
  • Professional development tools, trainings, and conferences
  • Company bonus, reward structure and VIP medical care (including dental and mental health)
  • Holiday allowance, life & travel insurance, and pension plan
  • Co-financed sport card, meals subsidy, and additional days off
  • Support for home office setup and access to a game room with premium equipment
  • Relocation assistance to Warsaw if needed

Equal Opportunity

Bayer welcomes applicants from all backgrounds and is committed to diversity and non-discrimination. Access and reasonable accommodations will be provided during the application process.

Location and Work Model

Work location: Warsaw, Poland. Hybrid work environment available.

Key skills/competency

  • Data Ingestion
  • Data Transformation
  • Data Pipelines
  • Python
  • SQL
  • API Development
  • Cloud Platforms
  • Documentation
  • Data Reliability
  • Collaboration

How to Get Hired at Bayer

🎯 Tips for Getting Hired

  • Research Bayer's culture: Explore mission, values, and team stories online.
  • Customize your resume: Highlight data engineering and Python skills.
  • Tailor your cover letter: Focus on pipeline and API development experience.
  • Prepare technical answers: Review SQL, Python, and cloud concepts.
  • Practice behavioral questions: Communicate past teamwork examples clearly.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding challenges.
Practice SQL queries and data retrieval.
Study cloud platform fundamentals.
Brush up on API integration techniques.

Behavioral Questions

Describe a time you solved a complex problem.
Explain how you manage project deadlines.
Discuss a conflict in team settings.
Share experience of adapting to changes.