Data Engineer

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. We create an inspiring place for talented individuals to thrive. We leverage expertise and courage to introduce future-ready technology into businesses. 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 If you enjoy creating impactful solutions and working in a collaborative environment, this role is for you! Note: Detailed project information will be shared during the recruitment process. 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. Ready to take the next step?
Requirements:
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 and workflow management tools (e.g., Apache Airflow, ETL) Proficiency in programming languages (Python, Java, or Scala) Familiarity with cloud services (AWS, GCP, Azure) Strong problem-solving skills and attention to detail Excellent communication and teamwork abilities
Must have: Degree, SQL, NoSQL, Airflow, ETL, Python, Java, Scala, Cloud, AWS, GCP, Azure
Daily tasks: - Design, implement, and maintain scalable data infrastructure
– Optimize data pipelines and ensure data integrity across platforms
– Collaborate with cross-functional teams to drive data-driven decisions
– Contribute to the development of advanced analytics tools