Lead Data Engineer

Work Flexibility: Hybrid What you will do • Design, build, and maintain automation solutions (primarily Power Automate ) to reduce manual effort in evidence workflows. • Implement and maintain REST API integrations to connect systems (e.g., DistillerSR, SharePoint, Power BI) and enable seamless, scheduled data flow. • Develop reusable, scalable data pipelines and processes (automated extract → store → refresh cycles). • Operationalize agreed data structures; migrate and maintain structured evidence data into controlled, analytics-ready datasets. • Implement processes to monitor data quality, keeping data accurate, traceable, and available for stakeholders. • Build and maintain Power BI dashboards from CDS-managed datasets to enable scalable reporting and evidence visibility. • Enable self-service analytics so stakeholders can access insights without ad-hoc requests. • Explore and implement AI-enabled solutions (e.g., agents that transform unstructured clinical report content into structured data). • Identify and eliminate manual, repetitive work; document and maintain solutions across updates. • Help build repeatable ways of working — shared methods, templates, and clear documentation — so solutions are easy to maintain and reuse across teams and time zones. What you need Basic Qualifications • Bachelor's degree in a technical or quantitative field (e.g., computer science, data/software engineering, information systems, mathematics, physics, or related). • Approximately 6–8+ years of relevant experience in an IT, data engineering, automation, BI, or systems-/business-analytics role. • Strong hands-on Power Automate skills, including calling REST APIs from Power Automate . • Demonstrated experience building REST API integrations between systems. • Proficiency in at least one scripting/programming language, ideally Python . • Working knowledge of SQL and core relational data concepts. • Ability to translate technical concepts for non-technical stakeholders and to collaborate effectively across time zones. Preferred Qualifications • Broader Microsoft Power Platform experience (Power Apps) and relevant certifications (Microsoft, AWS, Google, IBM). • Python with PySpark ; exposure to Azure, Databricks, or Microsoft Fabric (data flows / notebooks). • Power BI dashboard development. • Data modeling and experience building/optimizing data pipelines and architectures. • Experience with tools/sources such as SharePoint, Oracle, SQL Server, DB2. • Prior experience delivering technical solutions in a regulated environment (medical device, pharma, CRO) or with clinical IT systems such as DistillerSR . Travel Percentage: 10%