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Azure Databricks Engineer
OPTIVEUM sp. z o.o.
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted Oct 28
About this role
Build batch and real-time data solutions in Azure Databricks (Delta Lake, PySpark, Kafka) for a leading global investment bank. Hybrid in Kraków; 135–160 PLN/h (B2B). Azure Databricks Engineer About the Offer We are currently looking for an Azure Databricks Engineer to join the team of one of the world's leading global investment banks. The project is delivered together with a large international IT services company. For this role, Optiveum is the recruitment and contracting party, which means you will sign the cooperation agreement directly with us. You will design and build big data solutions in Azure Databricks for batch and real-time analytics, working with Delta Lake, PySpark, Kafka streaming and the Lakehouse / Medallion architecture. Key Details: • Rate: 135–160 PLN/h (B2B), depending on experience • Work Model: Hybrid, 3 days per week from the client's office (non-negotiable), full-time • Location: Kraków (candidates must live in or near Kraków) Responsibilities: • Design and implement big data solutions in Azure Databricks for batch and real-time analytics use cases • Build Spark pipelines that populate downstream data marts for BI and generate feeds for Data Science • Integrate real-time services that process business events from Kafka and persist them in ADLS Gen2 using Databricks • Develop near real-time stream processing to derive features for ML model inference • Optimise Databricks performance (liquid clustering, vacuum, Z-ordering etc.) • Work with DevOps teams to drive operationally excellent infrastructure Requirements: • Bachelor's degree or higher in Computer Science, Engineering or Science • 8–10 years of experience, including 5+ years with Azure cloud-native services • Strong hands-on experience with Azure Databricks, Delta Lake, Python / PySpark and Spark • Knowledge of Lakehouse, Data Mesh, Data Virtualisation, dimensional modelling and data aggregation techniques • Experience building distributed data platforms (e.g. Spark, Kafka, Flink, HBase) at large scale • Hadoop-based implementations, SQL / T-SQL, Unix and Hive • Azure Data Factory, ADLS Gen2 and Azure SQL Database • Good understanding of RDBMS, Data Lake, Data Warehouse, Lakehouse and Medallion Architecture • At least one workflow orchestration tool (Apache Airflow, Luigi, Oozie, AWS Glue or similar) • Knowledge of Microsoft Fabric and basic understanding of data quality dimensions • Fluent English • Polish or EU citizenship, or a permanent residence / work permit valid for at least 12 months Recruitment Process: • One interview with the IT services partner, followed by 1–3 interviews with the bank • Technical tasks are done live: please have your programming environment set up and tested beforehand. The use of AI tools, coding assistants or code generators during interviews is not allowed • The selected candidate will go through a background check by an external company (HireRight), covering identity, right to work, education and employment history, so the dates and employers in your CV must be accurate • Your name in the application and CV must match your official ID document exactly (Polish citizens: please include all first names) • Candidates who took part in a recruitment process for this IT services partner or this bank in the last 12 months cannot be considered Specjalizacja / specialism IT Role Data Engineer Location Kraków Remote status Hybrid About OPTIVEUM sp. z o.o. Optiveum is a recruitment and consulting company created based on our 20-plus years of experience in HR & IT services. We work for Clients located in Poland and abroad providing our local and international Candidates with Project-based or Permanent job opportunities in a remote or office-based model. COMPANY DATA Optiveum Sp. z o.o. ul. Tomasza Zana 43 lok. 2.1 20-601 Lublin, Poland nr KRS: 0000834436, NIP 7010975729 Contact us at: info (at) optiveum.com Founded in 2020