At a Glance
- Tasks: Design and build scalable data pipelines for healthcare research.
- Company: Join a pioneering team at Our Future Health, transforming healthcare data.
- Benefits: Competitive salary, generous holiday, remote work options, and wellbeing support.
- Other info: Flexible working arrangements and a commitment to diversity and inclusion.
- Why this job: Make a meaningful impact on global health research and improve lives.
- Qualifications: Experience in data engineering and knowledge of healthcare data standards required.
The predicted salary is between 74000 - 74000 £ per year.
Description
We're looking for a Senior Data Engineer with deep expertise in healthcare data to join a pioneering team building data products that enable world-leading research.
Whether your experience comes from academia, healthcare, biotech, or a fast-growing health-tech startup, you'll bring a strong understanding of healthcare data standards such as OMOP or FHIR, alongside the technical leadership required to be a Senior Engineer.
In this role, you'll design and build scalable data pipelines that transform complex health records into trusted, research-ready datasets used by scientists and researchers tackling challenges with global significance.
You'll work at the intersection of engineering, data science and epidemiology, helping to establish best practices, shape technical direction and create reusable, high-quality data products that can operate at industrial scale.
If you're a senior engineer who enjoys solving complex data challenges, influencing how healthcare data is curated and delivered, and making a meaningful impact on research that improves lives, we'd love to hear from you.
Our Future Health will be the UK’s largest ever health research programme, bringing people together to develop new ways to detect, prevent, and treat diseases.
Diseases like cancer, dementia, diabetes, and heart disease affect the lives of many people in our communities.
Our goal is to create a world-leading resource for health research, to improve our understanding and spot the patterns of how and why common diseases start, so treatments can begin sooner and be more effective.
Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people’s health.
Researchers will be able to use this information to make new discoveries about human health and diseases.
So future generations can live in good health for longer.
What you'll be doing
- Designing and building scalable data pipelines that ingest healthcare data from multiple providers into trusted research environments and data platforms.
- Developing and maintaining data transformation logic in Python to create high-quality, curated and research-ready datasets.
- Contributing to complex, shared codebases while following engineering best practices including code reviews, testing and clean coding standards.
- Collaborating with data scientists, epidemiologists, software engineers and product teams to understand requirements and deliver impactful data solutions.
- Processing large-scale healthcare datasets and implementing robust data quality, validation and governance controls.
- Transforming and harmonising healthcare data into common data models such as OMOP and FHIR to support research and analytical use cases.
- Creating reusable, scalable and maintainable data products that enable efficient consumption by multiple stakeholders.
- Communicating effectively with technical and non-technical stakeholders to translate complex requirements into practical engineering solutions.
- Producing clear and comprehensive technical documentation covering data pipelines, transformation logic, architecture and operational processes.
- Supporting the design, scoping and implementation of data flows across the wider healthcare data ecosystem.
- Leveraging cloud and big data technologies, including Azure, Databricks, Spark and Data Lakes, to deliver high-performing data solutions.
- Adopting and promoting data engineering best practices, healthcare data standards and continuous improvement across the team.
- Keeping abreast of emerging trends, technologies and standards within healthcare, research and data engineering to drive innovation and excellence.
Requirements
- To succeed in tis role you will need to demonstrate some of the following:
- Proven Data Engineering experience within complex, large-scale data environments.
- Experience designing, building and maintaining scalable, reliable data pipelines that process large volumes of data from multiple sources.
- Experience working with healthcare data across academia, healthcare, life sciences, health technology or related sectors.
- Knowledge of healthcare data standards and common data models, including OMOP and/or FHIR.
- Experience transforming and remodelling data between different Common Data Models (CDMs).
- Understanding of healthcare terminologies and ontologies, including SNOMED CT, ICD-10 and Read Codes.
- Experience contributing to shared codebases and developing reusable, maintainable data solutions.
- Proficiency in Python and software engineering best practices.
- Good command-line and Unix/Linux skills.
- Experience working with cloud platforms, ideally Microsoft Azure.
- Experience using technologies such as Spark, Databricks and data lake architectures.
- Knowledge of data storage and transformation formats such as Apache Parquet and Delta Lake.
- Experience with containerisation and orchestration technologies, including Docker and Kubernetes.
- Experience using Git/Git Hub and working within collaborative development environments.
- Experience working within Agile delivery teams.
Benefits
- Competitive base salary from £74,000 per annum
- Generous Pension Scheme – We invest in your future with employer contributions of up to 12%
- 30 Days Holiday pro rata + Bank Holidays – Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you
- Enhanced Parental Leave – Supporting you during life’s biggest moments
- Cycle to Work Scheme – Save 25-39% on a new bike and accessories through salary sacrifice
- Home & Tech Savings – Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice
- EV Scheme – Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice
- £1,000 Employee Referral Bonus – Know someone amazing? Get rewarded for bringing them on board!
- Wellbeing Support – Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family
- A Great Place to Work – We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements
You may work remotely from anywhere within the UK, with occasional travel to London.
We recommend you apply as soon as possible as occasionally due to high volumes of applications, we need to close our postings early.
At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process.
We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process.
If you do require any reasonable adjustments, please email us at talent@ourfuturehealth. org. uk
Senior Data Engineer in London employer: Our Future Health
At Our Future Health, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. With a focus on employee growth, we offer ample opportunities for professional development and a generous benefits package, including a competitive salary, pension scheme, and flexible working arrangements, making it an ideal place for those seeking meaningful and rewarding employment in a remote-friendly environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Our Future Health!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Our Future Health.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Our Future Health.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Our Future Health, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer in London
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 Our Future Health, 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 Our Future Health. 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 Our Future Health
✨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 Our Future Health!
✨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.
