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Senior Data Engineer Lead to oversee critical data engineering activities within the Digital Health sector

S.i. Systems
London
1 year ago
Applications closed

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Our valued professional services client client is seeking aSenior Data Engineer Team Lead to oversee critical data engineering activities within the Digital Health sector.

10 month contract (with possible extension), % Remote

Responsibilities:

Provide strategic oversight of data engineering activities, shaping platform strategy and data architecture. Act as a technical leader for the team, establishing best practices for data engineering. Collaborate with senior leadership and external stakeholders as the senior technical resource for the group. Monitor and optimize ARC platform data pipelines to ensure efficient data flow and system performance. Work with stakeholders and data SMEs to identify and implement enhancements to ARC platform capabilities. Conduct advanced data profiling and quality assessments to ensure data health and integrity. Implement and manage data access policies in coordination with the Data Governance and Engineering team. Troubleshoot and resolve data-related issues in collaboration with operational support teams. Work with source systems to identify and transport necessary data, using methodologies such as SQL, NoSQL, and RESTful. Document data extraction processes, optimizations, and enhancements for reference and compliance. Apply and update classifications for personal health information (PHI) data elements as required. Provide custom data quality rules and conduct associated scans on the data estate. Facilitate access to draft materials and ensure feedback is obtained prior to final delivery. Produce comprehensive documentation for data pipeline optimizations, operational support, and user training materials. Write status reports outlining completed activities and outstanding issues or risks.

Must Have Skills:

7+ years of experience in data engineering, with at least 3 years in a team lead or technical leadership role. Experience withdata profiling,quality assessments, andgovernance policies (Master Data Management).Strong knowledge of data pipeline optimization and data architecture. Proficiency in SQL, NoSQL, and RESTful methodologies.

Nice to Have Skills:

Familiarity with data security and compliance regulations related to personal health information (PHI). Knowledge of data integration tools and techniques.

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