Clinical Data Engineer

As a Clinical Data Engineer at ICON Strategic Solutions, you will work in a sponsor-dedicated model, supported by ICON's global expertise.

The Clinical Data Enablement Manager (FSP) is responsible for supporting the operation and continuous improvement of clinical data pipelines across cloud-based data lake and data warehouse environments.

Responsibilities:

• Support end-to-end clinical data pipelines across lake/warehouse environments (build, run, monitor, maintain, troubleshoot) to ensure stable, traceable operations.
• Assist with operational support activities including monitoring/alerting, incident triage, root cause analysis support, and implementing corrective/preventive actions under guidance.
• Develop and enhance cloud ETL/ELT pipelines (AWS/Azure) for ingestion, transformation, and delivery, following established patterns and standards.
• Implement automation for scheduling, repeatable ingestion, and automated quality checks to improve reliability and timeliness.
• Design, develop, and maintain operational dashboards and data visualizations using approved platforms to support pipeline health monitoring, data quality oversight, and operational reporting for stakeholders.
• Support vendor and cross-functional integrations by implementing data transfers per specifications, performing validation/reconciliation, and escalating issues as needed.
• Collaborate with downstream teams (Stat Programming, SDTM, Analytics, Clinical Data Programming) to understand data needs and deliver required datasets/exports (format, structure, cadence).
• Contribute to on-time, high-quality delivery against agreed specifications and participate in tracking and reporting operational KPIs (e.g., timeliness, success rate, defects) through dashboards and metrics.
• Follow controlled documentation and change practices for regulated clinical processes; support GxP/CSV activities by maintaining required documentation, test evidence, and traceability as assigned.
• Apply data integrity practices (e.g., ALCOA+ expectations per internal standards) and adhere to access controls and audit trail/logging requirements in collaboration with Quality/Compliance/IT.

Required qualifications and experience:

• Education/Experience: BS/BA (or equivalent) plus 5+ years in data engineering, pipeline development/operations, and multi-source data integration (clinical/biopharma preferred).
• Core skills: Foundational SQL skills; understanding of basic data modeling and data quality checks; familiarity with integration patterns (NoSQL exposure a plus).
• Programming/SDLC: Proficiency in Python (preferred) or R; exposure to building/supporting pipelines with basic testing, logging, and monitoring; familiarity with Agile/SDLC concepts; Jira/Confluence experience preferred (or ability to learn quickly).
• Visualization & Reporting: Hands-on experience designing and supporting operational dashboards and data visualizations using tools such as Power BI, Tableau, and/or QlikView, with an understanding of data refresh, access controls, and performance considerations.
• Data standards: Awareness of CDISC/CDASH/SDTM concepts and willingness to learn how standards impact downstream clinical deliverables.
• Data formats & Interfaces: Hands-on with CSV, JSON, XML and file/API-based integrations; able to follow transfer specifications and validate outputs.
• Cloud/platforms: Exposure to AWS and/or Azure and modern data platforms (e.g., Snowflake, Databricks, Spark); ability to implement within established frameworks and standards.
• DevOps: Working knowledge of GitHub/GitLab version control; CI/CD exposure is a plus.
• GxP & Data integrity: Experience or exposure to GxP-regulated practices (documentation, change control, audit readiness) and understanding of data integrity expectations; able to follow controlled procedures and maintain required evidence.
• Ways of working / working style: Strong collaboration and communication; organized, detail-oriented, proactive; able to prioritize tasks, follow guidance, and deliver to deadlines in a fast-paced environment.

Rewards & Benefits:

• Competitive base salary and performance-related incentives
• Health and wellbeing programmes including medical, dental, and vision coverage where applicable
• Retirement and pension plans
• Life assurance and disability coverage
• Employee assistance programmes and wellbeing resources
• Learning and development opportunities through structured training and career pathways