Posted Jul 10, 2026

Middle/Senior Data Engineer

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๐Ÿง  Tech Level: Middle ๐Ÿ—ฃ๏ธ Language Proficiency: Upper-Intermediate ๐Ÿงพ Employment type: Full time ๐ŸŒ Candidate Location: Poland, Kazakhstan, EU, Georgia, Armenia, Serbia. ๐Ÿ• Working Time Zone: CET ๐Ÿš€ Start: ASAP ๐Ÿงญ Planned Work Duration: by the end of the year ๐Ÿ‘ฅ Customer Description: The customer is a global mobility platform providing on-demand transportation services. โš™๏ธ Project Phase:ongoing ๐Ÿค Soft Skills: โ€ข Strong analytical and problem-solving skills with the ability to make decisions based on technical evidence and logical reasoning. โ€ข Excellent communication, active listening, collaboration, and consensus-building skills. ๐Ÿ’ก Hard Skills / Must Have: โ€ข 3+ years of experience in Data Engineering โ€ข Strong proficiency in Python โ€ข Experience with Spark/PySpark for streaming, batch, and asynchronous data processing โ€ข Data modeling โ€ข Distributed data processing โ€ข SQL โ€ข Data warehouse/lakehouse architecture โ€ข Hands-on experience with Databricks, GCP, or AWS โ€ข Terraform โ€ข Designing data access and governance solutions โ€ข Understanding of data products and governance controls โœจ Hard Skills / Nice to Have: โ€ข Willingness to learn new technologies for integration purposes ๐Ÿ“Œ Responsibilities and Tasks: โ€ข Develop, deploy, and maintain data pipelines and data governance systems on Databricks (Unity Catalog, Delta Lake, Workflows) โ€ข Conduct in-depth data analysis, profiling, and processing to classify data by domain and detect personal data (PII) โ€ข Contribute to the design of data access systems, focusing on data contracts, catalog access, and grant/rollback automation managed as Infrastructure-as-Code with Terraform โ€ข Review access architectures and contracts to ensure flexibility and reusability โ€ข Ensure that data products and access controls are deployed according to contracts and operate without unintended side effects โ€ข Maintain documentation for data contracts, access models, and governance processes โ€ข Monitor and support deployed pipelines and quality checks to ensure they meet data quality and performance expectations โ€ข Actively seek out information and internal solutions to ensure reusability and adoption of common data platform technologies ๐Ÿงช Technology Stack:Python for streaming, batch, and asynchronous data, MLOps tools ๐Ÿ“ Additional notes: The work will be carried out either on client's equipment or via a virtual workstation. ๐Ÿ“ฉ Ready to Join? We look forward to receiving your application and welcoming you to our team!