Senior Data Developer

Adderbury
1 month ago
Applications closed

Related Jobs

View all jobs

Data Architect

Analytics Engineering Manager

Senior Data Engineer

Senior Data Analysts

Senior Data Scientist

Senior Data Engineer

Senior Data Developer - Flexible location 

Bibby Financial Services have an exciting opportunity available for a dynamic Senior Data Developer to join our team, working in any of our UK locations. You will join us on a full time, permanent basis and in return, you will receive a competitive salary of £60,000 – £70,000 per annum.

We’ve supported small and medium-sized enterprises (SMEs) since 1982 and today we support more than 12,000 businesses worldwide. We are proud to help businesses, both big and small to grow and thrive in domestic and international markets.

Why us?

We’re in the business of relationships. We know real value lies in real people, and it takes a motivated mindset and can-do attitude to belong here. It can be fast-paced and full-on, but we can handle it. We’re a collective of “got your back”, we collaborate together, take ownership and deliver for our clients every time. That way, everybody wins. In return, we’re all empowered to get the job done because we’re trusted to get it right. It’s why we were hired in the first place. We want you to make the choices you believe in – we’ll believe in them too.

As our Senior Data Developer, we will reward you and your hard work with:

Company car allowance

Private healthcare for you and your family

Company pension scheme

Wide range of flexible benefits, such as gym membership, technology, or health assessments

Access to an online wellbeing centre

Range of discounts from many businesses

25 days holiday

As our Senior Data Developer, you will operate within an Agile delivery environment, working closely with the Data Product Manager and Data Architect to ensure your team maintains a pipeline of delivery against the Backlog; providing vital insight from our wide-ranging dataset to support executive and operational decision making that will underpin sustained growth of BFS business units domestically and internationally.

You will have an active leadership role in determining and developing the shape of your teams solution delivery against business requirements, as well as helping to inform and input into the wider technical architecture and strategy.

This is very much a hands-on role, where the majority of your time will be spent actively developing solutions, as you are the lead Developer. However, the role includes team management responsibilities for a small team of Data Developers, who you will coach, support and organise to ensure we sustain a predictable

BFS embraces difference, deploying best in class product solutions for its local markets and customer needs. These are woven together with an integrated digital customer and colleague journeys that complement the strong relationships with our customers that they value and we take pride in delivering. This creates the opportunity to work with a wide range of international and domestic product data sets generated by our businesses and their respective application platforms.

Your key duties as our Senior Data Developer will include:

Understanding the business / product strategy and supporting goals with the purpose of ensuring data interpretation aligns

Providing technical leadership on how to break down initiatives into appropriately sized features, epics and stories that balance value and risk. Take a leadership role on setting standards, driving quality and consistency in solution delivery.

Working closely with the Data Architect to collaborate on Design of our data architecture and interpret into a build plan.  

Leading the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs. 

Delivering large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques.  

Collaborating with the BI Product Owner, analysts, and other business stakeholders to understand data requirements and deliver solutions that meet business needs. 

Optimizing and tuning data processing systems for performance, reliability, and scalability. 

Implementing data quality and validation processes to ensure the accuracy and integrity of data throughout the pipelines. 

What we are looking for in our ideal Senior Data Developer:

A Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Alternatively, relevant experience in the data engineering field. 

Experience in data engineering or a related field. 

Proficiency in programming languages such as Python, Spark, SQL. 

Strong experience with SQL databases. 

Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF). 

Experience with cloud platforms (Azure preferred) and related data services. 

There’s no place quite like BFS and we’re proud of that. And it’s all down to you - you make us the people with which every ambitious business loves to work.

If you would like to join us, please click ‘apply’ today to be considered as our Senior Data Developer – we would love to hear from you!

We're absolutely committed to being a truly inclusive place to work, where everyone has an equal opportunity to reach their true potential. Let us know if you need adjustments to support you through any stage of the recruitment process.

No agencies, please

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!