Remote Data Engineer

Ework Group, founded in 2000 and listed on Nasdaq Stockholm, has around 13,000 independent professionals on assignment. The company provides total talent solutions partnering with clients in private and public sectors, focusing on IT/OT, R&D, Engineering, and Business Development. The client is in the clinical and life sciences sector, building a scalable, Databricks-native Data Quality Monitoring capability to improve transparency and data ownership across clinical data domains.

• Strong hands-on experience with Databricks
• Experience with Spark, SQL, Delta Lake, and Python
• Experience designing and implementing data pipelines / ETL-ELT
• Experience with data quality frameworks, preferably DQX
• Understanding of data governance, data ownership, and rule-based data quality monitoring
• Ability to translate business requirements into scalable technical solutions
• Experience working in complex enterprise environments
• Proactive, structured, and independent way of working
• Comfortable engaging with both technical stakeholders and business users

Nice to have:

• Experience with regulated or compliance-heavy environments
• Experience with clinical operations, trial operations, or life sciences data
• Experience with dashboarding and business-facing data quality reporting
• Azure DevOps / CI-CD experience
• Experience with integrations, APIs, or downstream system connectivity
• Snowflake experience
• Understanding of Veeva or related clinical systems

• Design and implement a Databricks-native Data Quality Monitoring framework based on DQX
• Configure and maintain DQX-based data quality rules
• Develop data pipelines and data models supporting monitoring and reporting
• Build dashboards and trending views for business users and data owners
• Create clear linkage between data quality rules, data usage, and critical data points
• Document technical design, rule logic, and operating model
• Support scaling the solution to additional clinical data domains
• Work closely with technical and business stakeholders to translate requirements into scalable solutions
• Contribute to proactive identification and resolution of data quality issues before they impact downstream processes

Work model: Remote ONLY in Poland