We are looking for a Middle/Senior Data Engineer Language Proficiency: Upper-Intermediate Candidate Location: Poland, Kazakhstan, EU, Georgia, Armenia, Serbia. Working Time Zone: CET Start: ASAP Planned Work Duration: by the end of the year 👥 Customer Description: The customer is a global mobility platform providing on-demand transportation services. ⚙️ Project Phase: ongoing 🤝 Soft Skills:

• Strong analytical and problem-solving skills with the ability to make decisions based on technical evidence and logical reasoning.
• Excellent communication, active listening, collaboration, and consensus-building skills.

💡 Hard Skills / Must Have:

• 3+ years of experience in Data Engineering
• Strong proficiency in Python
• Experience with Spark/PySpark for streaming, batch, and asynchronous data processing
• Data modeling
• Distributed data processing
• SQL
• Data warehouse/lakehouse architecture
• Hands-on experience with Databricks, GCP, or AWS
• Terraform
• Designing data access and governance solutions
• Understanding of data products and governance controls

✨ Hard Skills / Nice to Have:

• Willingness to learn new technologies for integration purposes

📌 Responsibilities and Tasks:

• Develop, deploy, and maintain data pipelines and data governance systems on Databricks (Unity Catalog, Delta Lake, Workflows)
• Conduct in-depth data analysis, profiling, and processing to classify data by domain and detect personal data (PII)
• 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
• Review access architectures and contracts to ensure flexibility and reusability
• Ensure that data products and access controls are deployed according to contracts and operate without unintended side effects
• Maintain documentation for data contracts, access models, and governance processes
• Monitor and support deployed pipelines and quality checks to ensure they meet data quality and performance expectations
• Actively seek out information and internal solutions to ensure reusability and adoption of common data platform technologies

🧪 Technology Stack: Python for streaming, batch, and asynchronous data, MLOps tools 📞 Interview stages:

• English check (15 minutes)
• technical interview (1-1,5 hour)
• client interview (1 hour)
• client interview -cultural fit (45 minutes)

📝 Additional notes: The work will be carried out either on instinctools equipment or via a virtual workstation. 📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!