Data Engineer (Azure / Databricks / Spark)
Remote / Hybrid
Contract type: B2B or Employment Contract
About the Project
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.
What You'll Do
- 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
Requirements
- 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
What We Offer
- 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