Senior Data Engineer (Databricks)

Senior Data Engineer (Databricks)
We are looking for a Senior Data Engineer with strong Databricks experience to build and optimize modern data platforms. You will develop scalable ETL/ELT pipelines, process large datasets and contribute to the evolution of cloud-native Data Engineering solutions.
– Design, develop and maintain scalable ETL/ELT pipelines
– Build reliable batch and streaming data processing solutions
– Develop data pipelines using Databricks and Apache Spark
– Optimize Spark jobs and improve platform performance
– Work with Delta Lake and Medallion Architecture
– Build and maintain data models for analytics and reporting
– Ensure data quality, monitoring and observability
– Collaborate with Architects, Data Scientists and Analytics teams
– Participate in code reviews and technical improvements
– Contribute to CI/CD processes and engineering best practices
– 5+ years of experience in Data Engineering
– 2+ years of commercial experience with Databricks
– Strong knowledge of PySpark and Spark SQL
– Excellent SQL skills
– Strong Python programming skills
– Experience building ETL/ELT pipelines
– Experience working with Delta Lake
– Good understanding of Medallion Architecture
– Experience with cloud environments (Azure, AWS or GCP)
– Experience with Git and CI/CD
– Understanding of data modelling principles
– Good communication skills
– Fluent English - C1
– Unity Catalog experience
– dbt
– Kafka or Structured Streaming
– Airflow or Databricks Workflows
– Databricks certification
– Experience with performance tuning and cost optimization