Senior Data Engineer

Internal use only - Grade F

About the Role

You’ll be a hands-on senior engineer at the heart of our data transformation. You won’t just deliver pipelines. You’ll shape how we build them, how we scale them and how we make them better.

You’ll work with modern cloud technologies, help evolve our data platform and influence engineering standards across the team. You’ll also support and mentor others, helping create a strong, collaborative engineering culture.

The impact is real. Better data means better customer experiences, faster decisions and stronger performance across Very.

We’re transforming how data powers Very. This isn’t about maintaining what already exists. It’s about building what comes next.

We’re modernising our entire data platform with cloud-first technology, and you’ll play a key role in shaping it. From improving how we serve millions of customers to enabling smarter decisions across the business, your work will directly influence how Very grows and competes.

If you enjoy solving meaningful problems, building at scale and helping others raise their game, you’ll feel right at home here.

Day to day you will be working on the following.

• Designing and building scalable, reliable data pipelines that power key business decisions
• Shaping our cloud-based data platform, improving performance, cost, and usability
• Taking ownership of solutions from idea through to production and beyond
• Driving improvements in how we build, deploy and monitor data products
• Troubleshooting complex data issues and making them disappear for good
• Supporting releases and ensuring everything we ship is stable and observable
• Raising engineering standards through code reviews, reusable patterns and best practice
• Coaching and mentoring other engineers, helping them grow and succeed
• Collaborating with product, platform and engineering teams to deliver meaningful outcomes
• Contributing to technical decisions that improve scalability, reliability and speed

About you

You’re someone who enjoys building things that matter and making them better over time.

You’ll likely bring:

• Strong experience designing and delivering production-grade data solutions
• Develop, and maintain Teradata-based data solutions to support enterprise-scale data warehousing and analytics platforms.
• Proficient in Teradata utilities such as BTEQ, Fast Load, Multi Load, TPT, and experienced with Viewpoint, TD Stats, and TDWM.
• Strong knowledge of data warehousing concepts, ETL processes, and experience working across large-scale, complex environments.
• Confidence working with cloud technologies, AWS is preferred.
• Solid coding skills in languages like Python, SQL / Java or Scala
• Experience working with large-scale data platforms, data lakes or warehouses
• A good understanding of modern data concepts like Lakehouse, ingestion and analytics
• Experience across the full delivery lifecycle, from design to support
• A mindset focused on quality, simplicity and continuous improvement
• The ability to break down complex problems and explain them clearly
• A natural instinct to support and mentor others

Some of our benefits

• Flexible, hybrid working model
• Inclusive culture and environment, check out our Glassdoor reviews
• £1000 flexible benefits allowance to suit your needs
• 30 days holiday + bank holidays
• LinkedIn Learning access
• Bonus potential (performance and business-related)
• Up to 25% discount on Very.co.uk
• Matched pension up to 6%
• More benefits can be found on our career site

How to apply

Please note that the talent acquisition team are managing this vacancy directly, and if successful in securing this role, you will be required to undertake a credit, CIFAS, Right to Work checks and if a specific requirement of your role a DBS (criminal records) check. Should your application progress we require you to let the team know if there is anything you need to disclose in relation to any of these checks prior to them being undertaken, including any unspent criminal convictions.

What happens next?

Our talent acquisition team will be in touch if you’re successful so keep an eye on your emails! We’ll arrange a short call to learn more about you, as well as answer any questions you have. If it feels like we’re a good match, we’ll share your CV with the hiring manager to review. Our interview process is tailored to each role and can be in-person or held remotely.

1st Stage - 30 Minutes Teams call - likely with our Data Engineering Manager, we will then share a Take Home Task.

2nd Stage - A one hour technical interview to discuss your take home test in more detail.