Job Description

🧠 Tech Level: Middle

🗣️ Language Proficiency: Upper-Intermediate

🧾 Employment type: Full time

🌍 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

📝 Additional notes:

The work will be carried out either on client's equipment or via a virtual workstation.

📩 Ready to Join?
We look forward to receiving your application and welcoming you to our team!