Middle Data Engineer
Hybrid  •   Full-time •  Warsaw, Poland
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Vention is a global engineering partner to tech leaders and fast-growing startups, combining 20+ years of product development expertise with an AI-first approach and a reputation for reliable delivery.
With 150+ data engineers and over 20 years of experience, we help startups and enterprises turn data into smart decisions and better user experiences. Our teams work with Python, Java, Scala, and R to build scalable data pipelines and infrastructure that power real results.
What you'll do
- Prepare, clean, and transform data to power analytics, reporting, and data-driven decisions
 - Build and optimize data pipelines for seamless data collection, transformation, and distribution across systems
 - Integrate and manage diverse databases, enabling smooth access to structured and unstructured data
 - Design and maintain scalable data infrastructure that supports analysis and machine learning workflows
 - Collaborate with data scientists, analysts, and engineers to deliver impactful insights and data solutions
 - Analyze data and create reports and visualizations that uncover trends and guide business decisions
 - Continuously grow your skills and stay current with the latest tools, technologies, and industry practices
 
What you bring
- 2+ years of experience in Data Engineering
 - Experience with data pipelines, streams, and ingestion processes
 - Skills in designing and implementing relational data models
 - Solid knowledge of Python and the ability to adapt to unique programming paradigms
 - Hands-on experience with PySpark, Apache Kafka, Flink
 - Familiarity with cloud-based solutions (AWS/Azure)
 - Knowledge of CI/CD tools (GitHub Actions, GitLab CI, or CircleCI)
 - Experience working in an Agile environment (Scrum, Kanban, etc.)
 - B2+ English, with experience communicating with English-speaking customers
 
What you'll get
- EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
 - Licenses for AI tools: GitHub Copilot, Cursor, and others
 - Private medical care with LuxMed
 - Kafeteria MyBenefit credits for stores, restaurants, and cafés
 - Access to a Multisport membership to stay active
 - Glasses reimbursement program
 - Referral bonuses for bringing in new talent
 - Parental leaves
 
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