About the Client
Our client is a provider of IT solutions, systems, hardware and software services in banking sector. It operates data centres, bank systems, POS terminals and HW (servers and PC) and is responsible for development, implementation, support and servicing of banking software and its operations in Central and Eastern Europe.
About the Role
We are looking for Data Engineer for our Databricks Platform.
Responsibilities
Work hands-on with the Databricks platform, PySpark, and Delta Lake to build and optimize data solutions
Manage, operate, and continuously improve a centralized data ingestion framework
Design, build, and maintain data ingestion pipelines end-to-end
Troubleshoot and resolve data quality incidents in collaboration with data consumers and stakeholders
Develop and implement data quality frameworks and monitoring solutions
Expand platform capabilities by evaluating, testing, and adopting new Databricks features
Contribute to infrastructure-as-code practices and CI/CD pipeline improvements
Mentor junior team members and support knowledge sharing within the team
Requirements
2–5 years of experience in the recent years in data engineering or a similar role
Recent active and direct work experience with SQL and Python for data processing, transformation, and analysis & with Databricks and/or PySpark (Delta Lake, Spark SQL, structured streaming)
Good understanding and expertise in data ingestion patterns, ETL/ELT processes, and data modeling fundamentals
Experience with software engineering best practices: version control (Git), code reviews, CI/CD pipelines
Familiarity with cloud platforms, preferably AWS and/or MS Azure
Strong analytical and problem-solving skills
Clear verbal and written communication; ability to interact with both technical and business stakeholders
Systematic, collaborative approach with a continuous learning mindset
Solid documentation practices
Nice to Have Skills
German
experience with HashiCorp Terraform, DataOps/MLOps practices, Unity Catalog, workflow orchestration tools