Senior Data Engineer
Full Time
full time
17 Oct 2025
Verified by Turrior
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
87 / 100
Offer value
Strong offer stemming from the substantial role in a growing healthcare tech firm, competitive benefits, and opportunities for technical leadership.
- Role offers career advancement in a leading healthcare technology firm.
- Comprehensive benefits, including £1,000 annual learning budget.
- Responsibilities may lead to intensive workload in a fast-paced environment.
- Position focused on impactful data-driven healthcare solutions.
Pros
- Competitive salary and comprehensive benefits package including a £1,000 learning budget.
- Role ensures significant influence over data strategy within a leading health tech company.
- Position offers opportunities for mentoring and career advancement.
Cons
- High expectations and responsibilities with ownership of critical data projects.
- Possibility of intense workload in a fast-paced growth environment.
- Limited remote work options, predominantly office-based in London.
Who it's for
Senior / Lead • On-site
Good fit
- Experienced data engineers with leadership potential.
- Professionals interested in healthcare innovations.
- Candidates looking to make impactful contributions in data management.
Not recommended for
- New entrants without data engineering experience.
- Those not interested in technical mentoring roles.
- Individuals preferring fully remote positions.
Motivation fit
Desire to innovate within healthcare and drive data initiatives.Interest in mentoring and guiding less experienced engineers.Readiness to work in a dynamic and fast-paced environment.
Key skills
Data infrastructure developmentMLOps and DataOps practicesTechnical leadership and mentorshipAdvanced SQL and Python proficiency
Score: 87/100 AI verified analysis
About the job
Requirements
- 5+ years of specific experience with modern data stack tools, with a proven track record of delivering end-to-end data solutions ,
- Expert proficiency in key technologies: Snowflake, SQL, Python, dbt and familiarity with MLflow ,
- Demonstrated understanding of end-to-end data product architecture ,
- Ability to deliver working solutions from a greenfield level ,
- Data Platform Skills: Experience architecting data platforms handling high event volumes (100M+ events/day), with expertise in designing for high availability and fault tolerance ,
- Product Team Integration: 3+ years of experience embedded within product engineering teams as a data platform expert, designing architecture that scales with rapid product development ,
- Mindset: Proactively learning and adopting new tools, including AI adoption
What the job involves
- Over the next five years, you’ll support our goal to become a world-leading healthcare partner, deepening our customer relationships, expanding into new countries, and diversifying our product portfolio to treat more conditions. You’ll be part of helping more people access prescription treatments and, most importantly, making personalised care better, quicker and easier for everyone ,
- The Senior Data Engineer will be instrumental in scaling our data capabilities as the company grows. You will focus on building robust data infrastructure that supports data quality, accelerates product engineering initiatives, and enables the development of new data products for external customers. ,
- This role requires you to take ownership, drive technical strategy, and mentor junior/mid level Data Engineers ,
- Design and Build Enterprise-Scale Pipelines: Lead the design and implementation of complex, end-to-end batch and streaming data pipelines, including advanced transformation logic and multi-source data integration ,
- Implement MLOps and Feature Stores: Build infrastructure for end-to-end ML pipelines, including feature engineering, model deployment, monitoring, and designing feature stores for both batch and real-time ML workflows ,
- Establish DataOps Practices: Set up CI/CD, automated testing, deployment, and monitoring frameworks for data pipelines, managing infrastructure as code, and ensuring comprehensive pipeline observability ,
- Technical Leadership: Influence engineering architecture across multiple product squads, establish data engineering practices, and mentor junior/mid-level data engineers within the organization ,
- Ensure Data Governance and Quality: Establish data governance frameworks, build automated data quality systems, and maintain reliability and compliance across distributed systems ,
- Optimize Performance and Resources: Continuously optimize compute and storage resources and deliver improvements in pipeline performance and cost efficiency
Benefits
- Monthly Socials ,
- Health Insurance ,
- Gym discount ,
- Flexible working ,
- £1,000 Annual Learning and Development budget ,
- Audible Subscription ,
- Pension Contribution ,
- 25 days holiday + UK Bank holidays ,
- Free HeliosX Products
