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Senior Data Engineer
Senior Engineer (Data Platform)
About Very
We’re the team behind digital retailer Very.
Our purpose—helping families get more out of life—powers everything we do. And we want our people to get more out of life too! If you’re high-performing, ambitious, and make the most of every opportunity, we want to hear from you. In return, enjoy flexibility, great perks, and the freedom to be yourself, keep learning, and take your career wherever you want. If you love making a difference, you’ll love making it sparkle for millions of Very customers. ✨
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 = better customer experiences, faster decisions, and stronger performance across Very.
This isn’t about maintaining what 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 Responsibilities
- 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 stability and observability in everything we ship
- Raising engineering standards through:
- Code reviews,
- Reusable patterns, and
- Best practice
- Coaching and mentoring other engineers to help 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
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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 ✔ Confidence working with cloud technologies; AWS is preferred ✔ Solid coding skills in Python, SQL, Java, or Scala ✔ Experience with large-scale data platforms, data lakes, or warehouses ✔ A good understanding of modern data concepts like:
- Lakehouse,
- ingestion, or
- analytics ✔ Experience across the full delivery lifecycle (design to support) ✔ A quality-focused mindset with continuous improvement in mind ✔ Ability to break down complex problems and explain them clearly ✔ A natural instinct to support and mentor others
Benefits
- Flexible, hybrid working model
- Inclusive culture and environment (check out our [Glassdoor reviews])
- £1000 flexible benefits allowance tailored to your needs
- 30 days’ holiday + bank holidays
- LinkedIn Learning access
- Bonus potential (business and performance-related)
- Up to 25% discount on Very.co.uk
- Matched pension (up to 6%)
- See more [on our career site]
Get help with your application
Your very own career expert that helps elevate your application to the next level.
How to Apply
Please note: If successful, you’ll be required to undertake:
- Credit checks,
- CIFAS checks,
- Right to Work checks,
- (If role-specific) DBS checks.
Should your application progress, let us know in advance if there’s anything to disclose, including any unspent criminal convictions.
Next Steps
Our talent team will contact you if successful. Expect:
- A short call to learn about you and answer questions.
- Share your CV with the hiring manager for review.
- A two-stage interview process for this role:
- Stage 1: 30-minute Teams call (likely with our Data Engineering Manager), followed by a take-home task.
- Stage 2: One-hour technical interview to discuss the task in detail.
We’re an inclusive employer—disclose any reasonable adjustments needed.
Diversity, Inclusion & Equal Opportunities
We strive for everyday inclusion and welcome applications from anyone who believes they can do the job. We do not discriminate on age, disability, gender reassignment, marriage/civil partnership, pregnancy/maternity, race, religion/belief, sex, or sexual orientation.
For accessibility improvements (enabling applications/interviews), contact: talentacquisition@theverygroup.com
We’re a Disability Confident Committed Employer, supporting networks like:
- DAWN (Disability Awareness at Very)
- Think (Neurodiversity at Very)
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