At a Glance
- Tasks: Design and build scalable data pipelines while shaping the architecture from the ground up.
- Company: Join Bibby Financial Services, a global leader supporting SMEs with innovative data solutions.
- Benefits: Enjoy competitive salary, private healthcare, flexible benefits, and 25 days holiday plus bank holidays.
- Other info: Be part of a dynamic team where your voice matters and career growth is encouraged.
- Why this job: Make a real impact on business decisions using modern tools and your creative problem-solving skills.
- Qualifications: Experience with Databricks, Python, Spark, SQL, and a passion for data-driven decision-making.
The predicted salary is between 43000 - 52000 £ per year.
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 in England employer: Bibby Financial Services
At Bibby Financial Services, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture where your voice truly 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.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, models, and any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s data journey. Be ready to discuss how you can contribute to building their data architecture and improving processes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer in England
Some tips for your application 🫡
Show Your Curiosity:When writing your application, let us see your curiosity shine through! Talk about why you’re interested in data engineering and how you want to make an impact. We love candidates who ask questions and think critically about their work.
Tailor Your Experience:Make sure to highlight your hands-on experience with Databricks, Python, Spark, and SQL. We want to know how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements that demonstrate your expertise.
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Bibby Financial Services
✨Know Your Data Tools
Make sure you brush up on your knowledge of Databricks, Python, Spark, and SQL. Be ready to discuss how you've used these tools in past projects, especially in building scalable data pipelines. Show them you’re not just familiar with the tech but that you can also articulate its impact on business decisions.
✨Show Your Curiosity
This role values curiosity about data and its implications. Prepare questions that demonstrate your interest in understanding the business side of data engineering. Ask about their current data challenges and how they envision the future of their data architecture.
✨Highlight Problem-Solving Skills
Be ready to share specific examples of how you've tackled complex data problems in the past. Discuss any instances where you optimised performance or improved data governance. This will show that you not only build pipelines but also care about making them efficient and effective.
✨Emphasise Team Collaboration
Since this role involves working closely with a small team, highlight your experience in collaborative environments. Share examples of how you’ve contributed to team discussions and decision-making processes. They want someone who can influence and shape the direction of their data strategy.
