Posted Jul 14, 2026

Middle/Senior Data Engineer

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