Join a modern data engineering team focused on delivering scalable, cloud-native data solutions. You’ll work with Azure, Databricks, and Spark to build high-performance data pipelines that support business analytics, data science, and reporting. The environment is agile, collaborative, and quality-driven—with strong practices around CI/CD, testing, and performance optimization.

• Design, develop, and maintain robust ETL/ELT data pipelines using Azure Databricks and Spark
• Optimize data transformation workflows for performance and cost-efficiency
• Build and deploy data pipelines through CI/CD workflows using Azure DevOps (or similar)
• Work closely with analysts, data scientists, and product teams to deliver clean, reliable data
• Implement and monitor automated unit tests, ensuring code quality and maintainability
• Contribute to team standards through code reviews and knowledge sharing
• Follow SDLC principles in agile team setups

Tech Stack

• Azure Databricks – core data processing platform
• Azure Data Factory, Azure Data Lake Storage, Azure DevOps
• Spark (including Spark SQL) – for distributed processing
• Python – for scripting, transformation, and orchestration
• Git, CI/CD pipelines – version control and automation

• Hands-on experience with Azure Databricks (must-have)
• Experience with Azure services such as Data Factory
• Proficient in Python programming
• Solid understanding of Spark, including Spark SQL and performance optimization
• Experience with automated unit testing and code quality best practices
• Working knowledge of CI/CD pipelines (Azure DevOps or similar)
• Familiarity with SDLC and agile methodologies
• English proficiency at B2 level

Nice to Have

• Experience with Snowflake
• Knowledge of dbt, Airflow, or Data Mesh architecture
• Background in regulated industries such as pharma or finance

• Opportunity to work on high-impact, data-driven projects with modern architecture
• Long-term collaboration with flexible B2B or Employment Contract options
• Private healthcare and sports benefits (available for both contract types)
• Learning & development budget with time allocated for upskilling
• Friendly, quality-focused team and cutting-edge tech stack