Senior Data Engineer (Databricks)

We are looking for2 Senior Data Engineersto design, build, and maintain scalable data pipelines that power analytics, reporting, and machine learning use cases.

You will work withPython, Databricks, AWS, Spark/PySpark, SQL, Docker, Git, and CI/CD toolsto move data from different source systems into a data lake and data warehouse. This role is a good fit for someone who enjoys both engineering quality and business impact: clean data models, reliable pipelines, strong documentation, and data that other teams can actually use.

You will collaborate closely withProduct Analysts, Data Scientists, and ML Engineersto make data accessible, trusted, and understandable across the organization.

• Design, build, and maintainETL/ELT pipelinesusingPython and Databricks
• Extract, transform, and load data from multiple source systems into thedata lake and data warehouse
• Create data transformation rules and data models for analytics and reporting
• Implementdata quality checks, logging, monitoring, and orchestration practices
• Maintain data catalogues and support clear data lineage
• Work with Product Analysts, Data Scientists, and ML Engineers to improve data availability and usability
• Usetest-driven developmentpractices where relevant
• Work withGit-based version control, branching strategies, Docker, and CI/CD tools
• Prepare and maintain clear technical and SDLC documentation

• 7+ years of relevant data engineering experience
• Strong hands-on experience withPython
• Practical ETL/ELT experience onDatabricks
• Strong knowledge ofAWS cloud services
• Solid database experience and strongSQLskills
• 2–3 years of Spark/PySpark experience
• Experience withGit, Docker, and CI/CD tools
• Good understanding of SDLC documentation
• Ability to communicate clearly with engineering, analytics, and data science teams
• Experience in healthcare, pharma or similar.

Nice to have

• Experience with data governance, data catalogues, or data lineage tools
• Experience supporting machine learning or advanced analytics teams
• Experience in regulated or enterprise environments
• Knowledge of modern data lakehouse architecture

• Location:EU based
• Work Model:Remote
• Contract Type:Freelance / Contract
• Start date:July/August, 2026
• Time Allocation:40 hours/week
• Global Pharmaceutical Company in Prague​

Originally posted on Himalayas