Data Engineer

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Proven experience as a Data Engineer or similar role.
• Strong knowledge of data processing technologies and database systems (SQL, NoSQL) .
• Experience with data pipeline/workflow tools (e.g., Apache Airflow, ETL).
• Proficiency in programming languages (Python, Java, or Scala).
• Familiarity with cloud services (AWS, GCP, Azure).
• Strong analytical, problem-solving, and communication skills.

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.

Join the team that turns data into decisions! Use your expertise as a Data Engineer to shape impactful solutions and drive technology forward. If you enjoy creating impactful solutions and working in a collaborative environment, this role is for you!

Sounds like your kind of challenge?

What you get in return

• Flexible cooperation model – choose the form that suits you best
  (B2B, employment contract, etc.).
• Hybrid work setup – remote days available depending on the client’s arrangements.
• Collaborative team culture – work alongside experienced professionals eager to share knowledge.
• Continuous development – access to training platforms and growth opportunities.
• Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more.
• High quality equipment – laptop and essential software provided.

Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference. ,[Design, implement, and maintain scalable data infrastructure., Optimize data pipelines and ensure data integrity across platforms., Collaborate with cross-functional teams to enable data-driven decision-making., Contribute to the development of advanced analytics tools.] Requirements: Degree, NoSQL, ETL, Python, Java, Scala, Cloud, AWS, GCP, Azure, Apache Airflow, Data Engineer Additionally: Sport Subscription, Private healthcare, Life insurance, Training budget, Small teams, Free coffee, Free snacks, In-house trainings, Modern office, No dress code.