At a Glance
- Tasks: Design and build a modern data platform to transform healthcare data usage.
- Company: Innovative Health Tech organisation focused on improving patient outcomes.
- Benefits: Up to £130,000 salary, comprehensive benefits, and remote work flexibility.
- Other info: High visibility role with significant career growth opportunities.
- Why this job: Shape the future of healthcare data and make a real-world impact.
- Qualifications: Experience in data engineering and expertise in Microsoft Fabric required.
Fully Remote (UK) | Up to £130,000 + Benefits
Build the Data Platform Powering Better Healthcare. Data can change lives when it's used effectively. HireQ Talent is partnering with an innovative and rapidly growing Health Tech organisation that is transforming the way healthcare data is leveraged to improve patient outcomes. This is not a role maintaining legacy infrastructure or inheriting someone else's architecture. This is a rare opportunity to build and shape a modern enterprise data platform from the ground up. You'll play a pivotal role in creating the data foundations that enable healthcare professionals, business leaders, and technology teams to make faster, smarter, and more informed decisions across a highly regulated, data-intensive environment.
As the Senior Data Platform Engineer, you'll own the evolution of a greenfield Microsoft Fabric ecosystem, influencing architecture, engineering standards, governance strategy, and the long-term direction of the organisation's data capability. If you're excited by ownership, modern cloud technologies, and the opportunity to make a genuine impact in Health Tech, we'd love to hear from you.
What You'll Do
- Architect the Future of Healthcare Data
- Design, build, and scale a modern Microsoft Fabric data platform
- Own platform architecture across Lakehouse, warehouse, semantic, and analytics layers
- Drive the transition from early-stage capability to enterprise-scale production environment
- Make key technology decisions that balance performance, compliance, scalability, and future innovation
- Partner with senior stakeholders to define the organisation's long-term data strategy
Engineer Modern Data Solutions
- Develop highly scalable and resilient data pipelines
- Integrate data from healthcare systems, SaaS applications, APIs, databases, and operational platforms
- Build ingestion, transformation, and orchestration frameworks using modern engineering principles
- Implement monitoring, observability, and data quality controls to ensure trusted and reliable insights
- Optimise platform performance to support growing data volumes and analytical demand
Turn Data Into Better Decisions
- Develop trusted semantic models and enterprise Power BI solutions
- Create governed data products that enable self-service analytics across the business
- Support executive reporting, operational intelligence, predictive analytics, and future AI initiatives
- Establish consistent metrics, definitions, and reporting standards across the organisation
- Help unlock the full value of healthcare data to improve business and patient outcomes
Champion Engineering Excellence
- Introduce CI/CD, infrastructure automation, and modern DevOps practices
- Implement governance, security, privacy, and access controls aligned to healthcare regulations
- Establish best practices for documentation, testing, deployment, and platform support
- Mentor stakeholders and influence technical standards across the wider business
- Shape the roadmap for a world-class data function
What We're Looking For
- Significant experience in Data Engineering, Analytics Engineering, Data Platform Engineering, or a similar role
- Experience designing and delivering modern cloud-based data platforms
- Strong expertise with Microsoft Fabric, including several of the following: OneLake, Fabric Lakehouse, Fabric Warehouse, Data Factory, Notebooks, Power BI, Semantic Models, Dataflows
- Advanced SQL development skills
- Python and/or PySpark experience
- Strong understanding of dimensional modelling and data warehousing concepts
- Experience building enterprise-scale data integration and pipeline solutions
- Strong Power BI development expertise, including DAX optimisation and performance tuning
- Hands-on experience with Git, source control, CI/CD, and modern software engineering practices
- Strong knowledge of data governance, security, compliance, and data quality frameworks
- Ability to communicate effectively with both technical and non-technical stakeholders
- HealthTech, healthcare, life sciences, or other regulated industry experience would be highly advantageous but is not essential.
Why Join?
- Help build the data platform that enables better healthcare experiences, stronger operational performance, and smarter decision-making.
- Influence architecture from day one and create a modern Microsoft Fabric ecosystem without the constraints of legacy platforms.
- Work directly with senior leadership and become the go-to expert for the organisation's data platform strategy.
- Leverage the latest capabilities across Microsoft Fabric, Power BI, cloud data engineering, and modern analytics.
- Work from anywhere in the UK while collaborating with a highly engaged and technology-driven team.
- Up to £130,000 base salary
- Comprehensive benefits package
- Significant career growth opportunities
- High levels of autonomy and influence
Ready to Build the Future of Healthcare Data? This is an opportunity to do more than build pipelines. You'll be creating the data foundations that power critical decision-making, support innovation, and help a HealthTech organisation deliver meaningful outcomes at scale. If you want to own a greenfield Microsoft Fabric platform and make a real-world impact through data, apply today.
Senior Data Platform Engineer in Hemel Hempstead employer: HireQ Talent
Join an innovative HealthTech organisation that prioritises employee growth and well-being, offering a fully remote working environment across the UK. With a focus on building products that genuinely improve lives, you'll have the chance to influence technical direction while collaborating with talented teams in a supportive culture. Enjoy exceptional benefits, a competitive salary of up to £110,000, and significant opportunities for career progression as you contribute to meaningful healthcare solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer in Hemel Hempstead
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data Platform Engineer in Hemel Hempstead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at HireQ Talent, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at HireQ Talent. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at HireQ Talent
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at HireQ Talent!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
