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With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.

By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.

🔹 For our Client from the clinical and life sciences sector we are looking for Remote Senior Data DQX Engineer

📍 Location: Warsaw, Poland

🏢 Work Model: Remote in Poland

Project Overview:

Our client is building a scalable, Databricks-native Data Quality Monitoring capability to improve transparency, strengthen data ownership, and support proactive management of data quality across key clinical data domains. The solution is designed to help business users and data owners monitor, understand, and act on data quality issues where they matter most.

The initial scope focuses on the Study Management domain, including Study Personnel and Milestones, with the ambition to scale the solution across additional clinical data areas over time. The role involves designing and implementing DQX-based data quality rules, data pipelines, data models, and business-facing dashboards that connect data usage with critical data quality expectations.

You will work in a complex enterprise environment where governed data quality monitoring, audit readiness, and scalable delivery are essential. The role requires close collaboration with both technical stakeholders and business users to shape a practical and sustainable solution.

Key Responsibilities:

• 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

Must-Have Knowledge and Experience:

• 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 Knowledge and Experience:

• 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

Contact person: nicola.urbanska@eworkgroup.com

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Do you know someone who would fit this position? Recommend a candidate by sending her/his CV to: polecenia@eworkgroup.com

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