About the role
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.
Responsibilities:
•
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
Requirements
•
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
Nice to have:
•
Unity Catalog experience
•
dbt
•
Kafka or Structured Streaming
•
Airflow or Databricks Workflows
•
Databricks certification
•
Experience with performance tuning and cost optimization
