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