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

Apply Now

Data Engineer - Databricks/Snowflake

Nationwide Building Society
Stockport
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

The Risk Data team is a small but critical part of the DFTD team. They are responsible for data transformation and analytics for Risk projects in DFTD.


The team are looking for a Data Engineer to support us to continue data transformation projects on Data Lakehouse for the Risk, Finance and Treasury side of the business. This would mean starting projects from scratch or moving projects from existing platforms and simplifying them.


This will involve the whole change governance process.


We are seeking someone who will be able to build strong and productive relationships with the Credit Risk team, whilst helping them to adapt to new tooling and ways of working. You will be driven by making a tangible difference and adding value by being a critical friend, creating actionable insight and producing clear and concise reporting, which will support leadership to make more informed decisions and directly drive forward the Data strategy.


At Nationwide we offer hybrid working wherever possible. More rewarding relationships are supported through our hybrid approach, bringing colleagues together across our UK wide estate, whilst also supporting generous access to home working. We value our time in the office to solve problems, to learn, and to feel connected.


For this job you'll spend at least two days per week, or if part time you'll spend 40% of your working time,based at either our Swindon, Bournemouth, London or Northampton office.You can also find out more about our approach to hybrid working here.


If we receive a high volume of relevant applications, we may close the advert earlier than the advertised date, so please apply as soon as you can.


What you’ll be doing

As an Engineer in the team, you’ll be working with Project Managers and stakeholders to prioritise & estimate work.


Your main responsibilities will include:

  • End-to-end solution delivery for data engineering projects and data lifecycle management, particularly where acquiring, ingesting and managing data on an enterprise data platform
  • Support of enterprise scale data integration, supporting new business demand and acting as 3rd line support for complex issues
  • Identifying deficiencies and opportunities to improve processes, data governance and data controls that see guardrails as a minimum requirement
  • Creating and maintenance of process documentation that makes the running of the Lakehouse integration transparent for consumers


About you

The minimum requirements for the role are:

  • Experience in end-to-end solution delivery for data engineering projects and data lifecycle management, particularly where acquiring, ingesting and managing data on an enterprise data platform
  • Demonstrate experience in the operational running & support of enterprise scale data integration, supporting new business demand, acting as 3rd line support for complex issues
  • The expertise and knowledge to identify deficiencies and opportunities to improve processes, data governance and data controls
  • Experience creating and maintaining process documentation
  • Knowledge and understanding of data such that you can identify where data content, data structure and data metadata may not align with the documentation
  • Experience in using these technologies in a Production context: Databricks/Snowflake, DBT, FICO, MongoDB, Python, Azure Data Factory, CI/CD pipelines, Data warehousing, GitHub


Our customer first behaviours put customers and members at the heart of how we work together. They are the set of behaviours that every colleague needs to display, in every role:

  • Feel what customers feel- We step into our customers’ shoes, using their feedback and insights to empathise with them and to understand their needs, so that every decision we make starts and finishes with our customers in mind
  • Say it straight- We are brave in speaking out and saying what we think – we’re honest and direct with good intent, openly sharing diverse perspectives to reach the best conclusions and using language everyone can understand
  • Push for better- We don’t settle for mediocrity, we challenge the status quo, taking responsibility for continuous improvement and personal development
  • Get it done- We prioritise what will have the greatest impact, we are decisive, and we take accountability for delivering brilliant customer outcomes.


You can strengthen your application by showing how our customer first behaviours resonate with you, and where you may have already demonstrated these.


The extras you’ll get

There are all sorts of employee benefits available at Nationwide, including:

  • A personal pension – if you put in 7% of your salary, we’ll top up by a further 16%
  • Up to 2 days of paid volunteering a year
  • Life assurance worth 8x your salary
  • A great selection of additional benefits through our salary sacrifice scheme
  • Wellhub – Access to a range of free and paid options for health and wellness
  • Access to an annual performance related bonus
  • Access to training to help you develop and progress your career
  • 25 days holiday, pro rata


Banking – but fairer, more rewarding, and for the good of society


We forge our own path at Nationwide.


As a mutual, we’re owned by our members - those customers who bank, save or have a mortgage with us. We challenge the financial sector status quo. We don’t see customers as the engine of our own profit. We share our profits with them and put their needs first. Always there when they need us. Supporting them and their lives.


If you’re inspired by fairer finances, passionate about making a meaningful impact, and truly care about our customers, you’re one of us.


At Nationwide, you are challenged to grow and rewarded for doing so. Valued. Recognised. Inspired to be your best. As a community we want our working lives to count. As a team, we celebrate what we achieve. As a standard-setter, we work for the good of customers, communities, and broader society.


We are Purpose-driven. Uncompromisingly Customer. Unstoppably Nationwide.


What to do next

If this role is for you, please click the ‘Apply Now’ button. You’ll need to attach your up-to-date CV and answer a few quick questions for us.


We respond to everyone, so we will be in contact shortly after the closing date to let you know the outcome of your application.

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.