Azure Databricks Engineer: Real-Time Analytics & Lakehouse

Optiveum; Kraków; Hybrid; PLN 186,000 - 220,000; Full time

Job summary

Optiveum is seeking an Azure Databricks Engineer to design and build big data solutions in Azure Databricks for batch and real-time analytics. The role involves Delta Lake, PySpark, Kafka streaming and implementing a Lakehouse/Medallion architecture.

The candidate will work on Spark pipelines, streaming ingestion, and real-time feature generation for ML models, while collaborating with DevOps to ensure scalable, performant infrastructure. Hybrid work in Kraków, with on-site days.

Qualifications

• 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

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.

Skills

Azure Databricks

Python PySpark

Spark

Data Lakehouse

Education

Bachelor's degree

Tools

Azure Data Factory

ADLS Gen2

SQL

Job description

Optiveum is seeking an Azure Databricks Engineer to design and build big data solutions in Azure Databricks for batch and real-time analytics. The role involves Delta Lake, PySpark, Kafka streaming and implementing a Lakehouse/Medallion architecture.

The candidate will work on Spark pipelines, streaming ingestion, and real-time feature generation for ML models, while collaborating with DevOps to ensure scalable, performant infrastructure. Hybrid work in Kraków, with on-site days.