At a Glance
- Tasks: Build and optimise data pipelines to drive impactful insights for life-saving research.
- Company: Join the British Heart Foundation, a leader in health innovation.
- Benefits: Enjoy 30 days annual leave, private medical insurance, and a generous pension scheme.
- Why this job: Make a real difference in health research while working with cutting-edge technology.
- Qualifications: Experience in SQL, Python, and data engineering; strong problem-solving skills required.
- Other info: Hybrid work model with excellent career development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
At British Heart Foundation (BHF), data plays a central role in driving insight, innovation and meaningful impact. As part of our evolving Azure Databricks platform, the Data Engineer will be our product expert contributing to a product that is continuously developing, helping the organisation make better, faster and more informed decisions in support of life-saving research.
You will build and optimise data pipelines, ingest and transform diverse data sources, design new data solutions, and champion emerging technologies, all while focusing on continuous improvement. It’s a chance to solve complex challenges, shape a growing innovative product, and make a real impact.
Proactive, you’ll operate with a strong sense of initiative, designing and building new data pipelines, organising data and making it accessible for advanced analytics that support research and health projects through data-driven insights. Working closely with the Health Insights team, ensuring that high quality, well-structured data underpins the analysis, modelling and evidence that drives BHF’s mission.
- Microsoft certified Azure Databricks engineer and knowledge of Databricks Unity Catalogue with proven experience building and maintaining scalable Data Lakehouse pipelines.
- Strong programming experience across SQL, Python, R, Java and Scala, with excellent problem-solving skills and experience investigating issues and delivering high-quality data solutions using Git/GitHub best practices.
- Hands-on experience in data modelling, data warehousing and ETL processes, with a solid track record of integrating, transforming and orchestrating data from a wide range of internal and external sources.
- A proactive, self-starting approach to producing new data pipelines, ensuring data is well organised, high quality and readily accessible for data scientists.
- Strong analytical and problem-solving skills, confident in simplifying complex issues and delivering clear, structured outcomes.
- Excellent communication and collaboration skills, able to build strong working relationships with the Health Insights team and wider stakeholders with commitment to continuous improvement.
- Effective time management skills with previous experience balancing multiple priorities and managing out ambiguity, identifying and mitigating risks.
- Excellent planning, organisational and interpersonal skills enabling to deliver results to deadlines.
- A positive can-do attitude, enthusiasm and willingness to learn.
We are committed to fostering a workplace where everyone feels valued and supported. Embracing different perspectives and backgrounds strengthens our organisation and empowers us to make a real difference together. Our people are at the heart of everything we do. By funding research across six decades, we’ve helped keep millions of hearts beating and millions of families together. We’re investing in ground-breaking research that will get us closer than ever to a world where everyone has a healthier heart for longer.
This is a hybrid role, where your work will be split between your home and at least one day per week, on average, in our London Office. This may vary from time to time, so you will need to work in a flexible way to unlock your best work for our cause.
We offer our staff generous benefits, such as:
- 30 days annual leave plus bank holidays.
- Private medical insurance, dental health cover, and money towards gym membership.
- Pension scheme with employer contribution up to 10%.
- Full pay for 12 weeks for family leave including maternity, paternity and adoption leave.
- Life assurance.
- Extra paid leave of up to 10 days to support colleagues who may need more time off work to look after themselves or others close to them.
Data Engineer in City of Westminster employer: British Heart Foundation
Contact Detail:
British Heart Foundation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to current employees at BHF on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Data Engineer role. Personal connections can give you an edge!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines, projects, and any relevant work you've done with Azure Databricks. This will not only demonstrate your technical expertise but also your proactive approach to problem-solving.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by brushing up on common data engineering questions and scenarios. Use mock interviews with friends or online platforms to build your confidence and refine your answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your genuine interest in joining BHF and being part of something that makes a real difference.
We think you need these skills to ace Data Engineer in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure Databricks, data pipelines, and any relevant programming languages like SQL and Python. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission at BHF. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Problem-Solving Skills: In your application, don’t forget to highlight your analytical and problem-solving skills. Share examples of how you've tackled complex data challenges in the past. We love seeing candidates who can simplify issues and deliver clear outcomes!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at British Heart Foundation
✨Know Your Data Inside Out
Make sure you’re well-versed in the Azure Databricks platform and its capabilities. Brush up on your knowledge of data pipelines, ETL processes, and data modelling. Being able to discuss specific projects or challenges you've tackled using these technologies will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your analytical and problem-solving abilities. Think of complex issues you've simplified or innovative solutions you've implemented. This will demonstrate your proactive approach and ability to deliver high-quality data solutions.
✨Communicate Effectively
Since this role involves collaboration with the Health Insights team, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical stakeholders can understand. Good communication can set you apart from other candidates.
✨Demonstrate Your Enthusiasm for Continuous Improvement
Express your commitment to learning and adapting. Share instances where you’ve sought feedback or pursued new skills to enhance your work. A positive attitude towards growth aligns perfectly with BHF’s mission and values.