Data Engineer

Data Engineer

Full-Time 40000 - 50000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and maintain scalable data pipelines to drive insights and improve services.
  • Company: Join BPAS, the UK's largest independent reproductive healthcare charity.
  • Benefits: Enjoy 34 days annual leave, hybrid work, and a purpose-driven environment.
  • Other info: Collaborative team culture with opportunities for continuous learning and growth.
  • Why this job: Make a real impact in healthcare by shaping data solutions for better decision-making.
  • Qualifications: Experience in data engineering, SQL, and Python/PySpark required.

The predicted salary is between 40000 - 50000 £ per year.

Are you a Data Engineer looking to build and shape a modern Business Intelligence function? Do you enjoy creating scalable data solutions that drive real insight and improve services? BPAS has an exciting opportunity for a Data Engineer to join our growing Business Intelligence team. Reporting to the BI Lead, you will play a central role in developing our centralised BI function, designing & delivering robust, scalable data solutions that support operational reporting, strategic decision-making, & future analytics capability.

This is a hybrid permanent role, working for 36 hours per week over Monday to Friday. Travel to Head Office is typically 1/2 times a month. This is an opportunity to work in a purpose-driven organisation where your work will directly support the delivery of high-quality healthcare services.

About the role

As a Data Engineer, you will be responsible for designing, building, and maintaining reliable data pipelines and integrations across a range of systems. You will help reduce manual processes, improve data quality, and ensure consistent, accessible data is available across the organisation. Working closely with BI Analysts and stakeholders across clinical, operational, and corporate teams, you will play a key role in shaping how data is structured, governed, and used within BPAS. You will also contribute to establishing best practice in data engineering, supporting documentation, knowledge sharing, and the long-term development of our analytics platform.

Main duties of the job

  • Design and maintain scalable, automated data pipelines across SQL databases, APIs, cloud platforms, and business systems (including Dynamics 365)
  • Develop data transformation processes using SQL, Python/PySpark, and modern data tools
  • Implement data quality checks, validation, and monitoring to ensure accuracy and reliability
  • Structure and model data to support BI reporting and analytics
  • Build and maintain secure data integration solutions, including APIs and data gateways
  • Work with BI Analysts, BI Lead, and stakeholders to translate requirements into effective data solutions and support reporting needs
  • Produce and maintain technical documentation, including data mappings and data dictionaries
  • Support data governance, security, and compliance standards
  • Improve automation, performance, scalability, and reduce manual processes
  • Contribute to knowledge sharing, peer review, and continuous improvement

About You

You will be an experienced Data Engineer, with a passion for building reliable and scalable data solutions. You will bring:

  • Experience building automated data pipelines using cloud platforms (e.g. Microsoft Fabric, Azure Data Factory, Synapse or similar)
  • Strong SQL skills and experience with Python or PySpark
  • Experience integrating data from multiple systems, including APIs and business platforms
  • Understanding of data quality, validation, and governance principles
  • Ability to deliver well-structured, documented data solutions

About us

The British Pregnancy Advisory Service (BPAS) is the UK's largest independent reproductive healthcare charity, providing evidence-based, not-for-profit reproductive healthcare. We work mainly on behalf of the NHS, offering abortion care, contraception, and STI testing and treatment across the country. When you join BPAS, you become part of a values-driven organisation where compassion, professionalism, and choice guide everything we do. You will help remove barriers to safe reproductive care while supporting people to make informed choices about their health and futures.

Working with us benefits include:

34 days annual leave (including bank holidays)

Data Engineer employer: British Pregnancy Advisory Service (BPAS)

At BPAS, we pride ourselves on being a purpose-driven organisation that values compassion and professionalism in the delivery of high-quality reproductive healthcare. As a Data Engineer, you will not only have the opportunity to shape our modern Business Intelligence function but also enjoy a supportive work culture that fosters employee growth through continuous learning and collaboration. With generous benefits such as 34 days of annual leave and a hybrid working model, BPAS is an excellent employer for those seeking meaningful and rewarding employment in the healthcare sector.
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Contact Detail:

British Pregnancy Advisory Service (BPAS) Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Network Like a Pro

Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Data Engineer role.

✨Show Off Your Skills

Create a portfolio showcasing your data projects. Whether it's automated pipelines or data transformations, having tangible examples of your work can really impress potential employers. Don't forget to share it on platforms like GitHub!

✨Ace the Interview

Prepare for technical interviews by brushing up on SQL, Python, and data integration concepts. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!

✨Apply Through Our Website

Don't forget to apply directly through our website! It shows you're genuinely interested in joining BPAS and makes it easier for us to track your application. Plus, we love seeing candidates who take that extra step!

We think you need these skills to ace Data Engineer

Data Pipeline Development
SQL
Python
PySpark
Cloud Platforms (e.g. Microsoft Fabric, Azure Data Factory, Synapse)
Data Integration
API Development
Data Quality Assurance
Data Governance
Data Transformation
Technical Documentation
Collaboration with BI Analysts
Scalability and Automation
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, SQL, and any relevant cloud platforms. We want to see how your skills match what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our Business Intelligence team. Let us know why you're excited about working with BPAS.

Showcase Your Projects: If you've worked on any cool data projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build scalable data solutions. We love seeing real examples of your skills in action.

Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and get you into our system quickly. We can't wait to hear from you!

How to prepare for a job interview at British Pregnancy Advisory Service (BPAS)

✨Know Your Data Tools

Make sure you brush up on your SQL, Python, and any cloud platforms like Azure or Microsoft Fabric. Be ready to discuss specific projects where you've built automated data pipelines or integrated systems. This shows you're not just familiar with the tools, but you can also apply them effectively.

✨Understand the Business Context

Research BPAS and their mission in reproductive healthcare. Think about how your role as a Data Engineer can directly impact their services. Being able to connect your technical skills to their goals will impress the interviewers and show that you're genuinely interested in the position.

✨Prepare for Scenario Questions

Expect questions that ask you to solve hypothetical problems related to data quality or pipeline design. Practice articulating your thought process clearly. Use the STAR method (Situation, Task, Action, Result) to structure your answers, which will help you convey your experience effectively.

✨Showcase Your Collaboration Skills

Since you'll be working closely with BI Analysts and various stakeholders, be prepared to discuss how you've successfully collaborated in the past. Share examples of how you translated requirements into data solutions and contributed to team projects. This will highlight your ability to work well in a team-oriented environment.

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