Senior Data Engineer - Real World Evidence

Lumanity is dedicated to improving patient health by accelerating and optimizing access to medical advances. We partner with life sciences companies around the world to generate evidence, translate science into compelling narratives, and enable commercial decisions that position medical products for success. Our work spans Asset Optimization, Value, Access & Outcomes, Medical Strategy, and Real-World Evidence.

Why this role matters 

We are stewards of one of the most richly detailed and complex healthcare datasets in Europe. This data underpins everything from regulatory submissions to healthcare innovations. Your work will ensure that our data assets are accurate, reliable, and trusted — forming the foundation for real-world insights that improve lives.

Your impact 

You will take end-to-end ownership of data linkage, quality assurance, and validation across healthcare datasets that are uniquely deep and wide-ranging. You will create data pipelines that automate the flow of data, ensuring it moves efficiently from various sources to analytics platforms or end-users. This includes establishing data workflows that are reliable, scalable, and easy to maintain. You will manage and monitor data systems to guarantee their optimal performance, reliability, and security. This often involves setting up alerts and dashboards, performing system maintenance, and troubleshooting any arising issues.

What you’ll do

• Design, implement, and maintain processes to link patient-level data across disparate systems, ensuring consistency, privacy, and traceability
• Build and refine data validation tools and pipelines using FIHR, Python, SQL, and Azure technologies
• Monitor data quality metrics, identify anomalies, and develop robust safeguards
• Act as the go-to person for understanding how our data fits together — and where it could go next
• Collaborate with technical and non-technical stakeholders to ensure datasets are fit-for-purpose for research, product development, and external use
• Support and mentor junior colleagues in good data stewardship practices

About you 

You’re someone who cares deeply about data quality and understands the power of well-structured information. You’re driven by curiosity, take pride in clean joins, and thrive in interdisciplinary settings.

You likely have:

• A degree in a quantitative field (e.g., Computer Science, Biomedical Informatics, Engineering, Statistics, Mathematics)
• Experience linking and validating large, complex datasets, understanding data models, and mapping data between different data models at scale with sensitive data
• Strong programming skills (SQL and/or Python; familiarity with R also welcome)
• Familiarity with data architecture and cloud environments (Azure preferred)
• Excellent problem-solving skills and a proactive mindset
• Strong communication skills, especially when explaining data logic to others
• A collaborative, thoughtful approach to teamwork and peer learning

Why join us?

• Direct impact on real-world health outcomes
• An environment that prizes autonomy, trust, and purpose
• A role where you can influence not just what we do with data, but how we think about it
• Regular coaching and development opportunities
• Quarterly 1:1s with senior leaders who care about your growth

Perks and Benefits

• Competitive salary and benefits package
• Attractive pension scheme
• Flexible hours and hybrid working model
• A team of smart, kind people who are passionate about what they do

#LI-Hybrid 

#LI-KP1