Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

Bupa
Staines-upon-Thames
6 days ago
Create job alert
Overview

Data Engineer


Staines, London or Manchester


Permanent


Hybrid: up to 3 days WFH


From £52k DOE + fantastic benefits


37.5 hours per week


We consider all types of flexibility, including locations, hours and working patterns.


Role

Working in our UK support functions you’ll play a key part in helping our customer facing colleagues deliver exceptional standards of customer service and patient care. No matter your role, you’ll have an opportunity to do work that matters. Making a difference to the lives of our customers each and every day.


We make health happen


In this role you will design, build, and maintain robust data pipelines and infrastructure that power Bupa Health Services’ data platforms and analytics capabilities.


You’ll work closely with data scientists, analysts, and business stakeholders to transform raw data into structured, machine learning-ready formats, ensuring data quality, consistency and performance across systems.


How you’ll help us make health happen

  • Ingest data from a variety of sources and transform data from raw to organised
  • Develop data pipelines to facilitate Bupa Health Services data platforms
  • Participate in the design, creation and development of data engineering initiatives to transform the data and information landscape at Bupa Health Services
  • Collaborate with data scientists to design and implement reusable feature stores or feature pipelines
  • Design, optimise and maintain complex SQL queries, stored procedures and database schemas to support high-performance applications
  • Structuring data outputs to be ML-ready and monitoring data drift and schema changes that could impact model performance

Key Skills / Qualifications

  • Expert level SQL proficiency and Python fluency
  • Experience in Azure technologies and Snowflake
  • Proficient in handling data from diverse sources such as flat files, APIs and databases using ETL/ELT methodologies for efficient data processing
  • Creating data pipelines from scratch along the entire data chain: implementing data load patterns, error-handling and automated procedures
  • Solid understanding of modern EDW cloud tools, techniques, and best practices
  • Strategic and forward-thinking approach to data engineering, with the ability to envision and advocate for long-term, scalable solutions.
  • Experience with Power BI and ability to design and develop interactive dashboards
  • Proficiency in GCP services such as BigQuery, Cloud Storage, Dataflow, and Pub/Sub for building scalable, cloud-native data pipelines

Benefits

Our benefits are designed to make health happen for our people. Viva is our global wellbeing programme and includes all aspects of our health – from mental and physical, to financial, social and environmental wellbeing. We support flexible working and have a range of family friendly benefits.



  • 25 days holiday, increasing through length of service, with option to buy or sell
  • Bupa health insurance as a benefit in kind
  • An enhanced pension plan and life insurance
  • Onsite gyms or local discounts where no onsite gym available
  • Various other benefits and online discounts

Why Bupa?

We’re a health insurer and provider. With no shareholders, our customers are our focus. Our people are all driven by the same purpose – helping people live longer, healthier, happier lives and making a better world. We make health happen by being brave, caring and responsible in everything we do.


We encourage all of our people to “Be you at Bupa”, we champion diversity, and we understand the importance of our people representing the communities and customers we serve. That’s why we especially encourage applications from people with diverse backgrounds and experiences.


Bupa takes pride in being a Level 2 Disability Confident Employer and will aim to offer an interview/assessment to disabled applicants who best meet the minimum criteria for the role. We’re committed to ensuring you’re treated fairly during the recruitment process and offer reasonable adjustments to anyone who may benefit from accommodations to the recruitment process.


If you require information regarding this role in an alternative format, please email:


Time Type: Full time


Job Area: IT


Locations: Angel Court, London, Bupa Place, Staines - Willow House


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.

Data Engineering Team Structures Explained: Who Does What in a Modern Data Engineering Department

Data has become the lifeblood of modern organisations. Every sector in the UK—finance, healthcare, retail, government, technology—is increasingly relying on insights derived from data to drive decisions, deliver products, and improve operations. But raw data on its own isn’t enough. To make data useful, reliable, secure, and scalable, companies must build strong data engineering teams. If you’re recruiting for data engineering or seeking a role, understanding the structure of such a team and who does what is essential. This article breaks down the typical roles in a modern data engineering department, how they collaborate, required skills and qualifications, expected UK salaries, common challenges, and advice on structuring and growing a data engineering team.