Data Engineer

First Databank
Pinhoe, Devon, EX4 9EY, United Kingdom
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Experis Telford, Shropshire, SY2 5TN, United Kingdom
£430 – £483 pd

Data Engineer

Damia Group London, United Kingdom
£60,000 – £75,000 pa

Data Engineer

Gold Group London, City And County Of the City Of London, United Kingdom
£50,000 – £65,000 pa

Data Engineer

Hays Technology London, City And County Of the City Of London, United Kingdom
£500 – £700 pd

Data Engineer

SF Partners Manchester, United Kingdom
£50,000 pa

Data Engineer

VIQU Energy London, United Kingdom
£80,000 – £90,000 pa
Posted
19 Feb 2026 (2 months ago)

Data Engineer
Exeter, Devon (Hybrid – 2 days per week in office)
About Us
At FDB (First Databank), we create and deliver the world’s most trusted drug knowledge, enabling healthcare professionals to make critical decisions that improve patient safety, efficiency, and outcomes. Our solutions are embedded across hospitals, GP practices, pharmacies, and wider healthcare systems, supporting millions of patients every day.
Our values guide everything we do: Better Together, Clear Expectations, Constantly Curious, and Health at the Heart. If these resonate with you, you’ll feel right at home with us.
The Opportunity
We are now looking for an experienced Data Engineer to join us on a full-time, permanent basis.
Working within Agile teams and collaborating with a range of experts, you’ll have the chance to utilise your skills and build solutions that genuinely make a difference.
What’s more, with hybrid working, a strong focus on wellbeing, an annual bonus scheme and a comprehensive benefits package, you’ll have the flexibility, recognition and backing to do your best work while continuing to develop your expertise.
So, if you want to be part of building innovative solutions that support millions every day, read on and apply today!
The Role
As a Data Engineer, you will design and develop high-quality data solutions that support innovative software products aimed at improving health and environmental outcomes.
Working within Agile methodologies, you will collaborate closely with the Product Owner and a wide range of technical and subject matter experts to understand customer requirements and shape effective, scalable data components.
You will undertake requirements analysis, solution scoping, specification definition and data analysis, while challenging assumptions and defining appropriate acceptance criteria to mitigate risk.
Through the creation of production code and participation in code reviews, you will apply established design patterns and best practices to ensure performance, data quality, security, robust error handling, monitoring and logging.
Additionally, you will:

  • Perform critical assessments to inform solution scoping and risk mitigation
  • Support project management activities as required
  • Use AI environments to enhance productivity and efficiency
    About You
    To be considered as a Data Engineer, you will need experience using AI environments and good verbal and written communication skills, including presentation skills, as well as experience with the following:
  • Databricks and Power BI
  • Python and TSQL
  • Extract, Transform, Load (ETL)
  • Analysis and design
  • Test Automation and Refactoring
  • Unit Testing and mocking
  • Agile & Scrum development methodologies
    You will also need some experience with Azure / AWS, PowerShell, Data lakes and Zoho Creator / Analytics.
    The Benefits
    You will be joining a very supportive team where you will have the opportunity to grow and develop new skills. In addition, FDB offers:
  • Competitive salary
  • 25 working days’ holiday per annum plus statutory holidays
  • Flexible option for employees to take additional holiday
  • Annual company bonus scheme
  • Health and Wellbeing allowance
  • HealthShield flexible health cash-back scheme
  • Electric Vehicle scheme
  • Enhanced pension scheme
  • Cycle to work scheme
  • Charity days
  • Full flexible working
  • Enhanced maternity/paternity schemes
  • and many more…!
    Other organisations may call this role Software Engineer, Data Module Developer, BI Engineer, Business Intelligence Engineer, Power BI Engineer, Python Developer, Python Programmer, R Developer, Python Engineer, or IT 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.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.