At a Glance
- Tasks: Design and build scalable data pipelines and influence data architecture.
- Company: Join a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, private healthcare, flexible benefits, and 25 days holiday.
- Other info: Dynamic team environment where your voice truly matters.
- Why this job: Shape the future of data while making a real impact on business decisions.
- Qualifications: Experience with Databricks, Python, Spark, and SQL; curiosity and problem-solving skills are key.
The predicted salary is between 43000 - 52000 £ per year.
£50-60K + benefits + performance bonus
Flexible Location | Hybrid working with frequent travel to Banbury required
Ever built a data pipeline and wondered… is anyone really using this? Ever wanted more say in the architecture, the tools, the direction and not just the tickets in the sprint? This might be your kind of role. We’re right at the start of our data journey. Not maintaining something someone else built five years ago, but designing and building a modern Databricks Lakehouse on Azure from the ground up and we need a Data Engineer who’s as curious about why we’re doing it as how we’re doing it.
The role
Because we’re at the beginning, you’ll help shape the architecture, influence standards and frameworks, work across a broad range of data challenges and see your work directly impact executive and operational decision‑making across the business, both in the UK and internationally.
You’ll:
- Design and build scalable data pipelines (ETL/ELT) pulling from core platforms, cloud storage, databases and APIs
- Turn raw, messy, disparate data into curated, analysis‑ready datasets
- Work with Python, Spark and SQL every day
- Develop models and schemas using a medallion architecture approach
- Help shape our data architecture with the Data Architect
- Implement governance, quality checks and access controls (Unity Catalogue)
- Optimise for performance, reliability and scalability in Azure
- Contribute to CI/CD and DevOps practices in Azure DevOps
But here’s the bit that makes this different: You won’t just be “building pipelines”, you’ll be building understanding. You’ll care about what the data is telling the business and be curious about what decisions it informs. You’ll ask, “Is this the best way to do it?”, and then you’ll make it better.
What you’ll be doing
Anyone can move data from A to B, but really good looks like this:
- Pipelines that are elegant, scalable and observable
- Clean, well‑documented models analysts actually enjoy working with
- Thoughtful performance tuning
- Governance built in, not bolted on
- Constant refinement and efficiency improvements
We’re working with a wide and interesting range of data sources from financial, operational, external and structured (and maybe not‑so‑structured). There’s plenty of variety and plenty of opportunity to improve things. If you get a quiet satisfaction from shaving minutes off a job runtime, refactoring something clunky into something beautiful, or discovering a better tool to solve a problem you’ll fit right in.
What you’ll bring
You’ll likely have:
- Hands‑on expertise with Databricks
- Confidence in Python, Spark and SQL
- Experience building pipelines in Azure
- A solid understanding of data modelling and scalable architectures
But just as important: You’re inclusive and curious and care about doing things properly and enjoy solving problems others can’t. You like working in a small team where your voice matters. This isn’t a “sit quietly and code what you’re told” environment. You’ll have a genuine say in how we do things, how we design things, and where we’re heading next.
The good stuff
The Tech you’ll Get to Play With: Databricks, Azure (cloud‑native data services), Python, Spark & SQL. This is your chance to work with modern, “shiny” tools and influence what we adopt next. Use workflow tools such as ADF / Airflow and big data technologies (Spark, Hadoop, Kafka).
Private healthcare for you and your family
Company pension scheme
Flexible benefits (gym membership, tech, health assessments and more)
Access to an online wellbeing centre
Discounts with a wide range of retailers
25 days’ holiday plus bank holidays, increasing with service, with buy/sell options
Electric Vehicle / Plug‑in Hybrid Vehicle scheme
About Bibby Financial Services
We’re a global organisation operating in nine countries, supporting over 9,000 SMEs worldwide. Following the completion of a £1bn securitisation deal, we’re increasing our lending to UK businesses at a time when support really matters and this role plays a vital part in making that happen.
If You’re Thinking…
- “I want to build something properly.”
- “I want to understand the business impact of what I’m building.”
- “I want to work with modern tools and have a real say.”
Then let’s talk. Apply before 31st March 2026. Early applications are encouraged, as the role may close sooner. Everyone will receive a response. Bibby Financial Services is committed to creating an inclusive workplace. If you require any adjustments during the recruitment process, please let us know.
Data Engineer employer: Bibby Financial Services Ltd
At Bibby Financial Services, we pride ourselves on being an excellent employer by fostering a collaborative and inclusive work culture where every voice matters. As a Data Engineer, you'll have the unique opportunity to shape our data architecture from the ground up, working with cutting-edge technologies while enjoying flexible working arrangements and a comprehensive benefits package that includes private healthcare and generous holiday allowances. Join us in making a meaningful impact on the business and supporting SMEs worldwide in a dynamic and supportive environment.
Contact Details:
Bibby Financial Services Ltd Recruitment Team
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We think you need these skills to ace Data Engineer
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