Sainsbury's
Analytics Engineer - Data (AP)

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Why join us
Joining Sainsbury's Tech as a Data Engineer means becoming part of a leading technology organisation that powers the UK's top multi-channel, multi-brand retailer. We are a community of passionate engineers who are empowered to define and deliver through the use of technology. With a focus on continuous improvement and technical excellence, you will have the opportunity to shape our engineering vision, drive the adoption of best practices, and work with cutting-edge technologies. Not only will you contribute to innovative solutions that impact millions of customers, but you will also be part of a progressive community that fosters growth, collaboration, and the advancement of engineering expertise.
We use a variety of tech here and you need to be willing to pick up new tools and techniques. We’d also like you to be yourself - analytical, curious and unafraid to challenge the status quo. You’ll constantly strive to improve the way things are done in your team, contributing as a progressive member of the engineering community.
We are looking for an experienced Data Engineer confident in investigating, ingesting and exploiting large datasets with core skills in SQL, Python, Azure and CI/CD. At Sainsburys Tech, within the Media Agency, we’re unlocking petabytes of untapped potential. We have thousands of shops and millions of customers creating billions of transactions per year. We’re on a mission to use this data better than anyone else.
Key Responsibilities
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Work with various data squads at Sainsbury’s to ensure the right data is available for teams to build fantastic products.
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Design, implement, and maintain scalable Data pipelines (CI/CD).
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Automate the end-to-end workflow, from data ingestion, testing, deployment, and monitoring.
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Optimize model serving infrastructure for latency, scalability, and cost.
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Build infrastructure to monitor model performance, data drift, and other key metrics in production.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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Collaborate with Devlopers and MLOps engineers to ensure that pipelines are production-ready.
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Implement security, compliance, and governance practices.
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Support troubleshooting and incident response for deployed systems.
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Building relationships with your colleagues – mentoring them, and teaching things you’ve learned
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Partnering with Data Modellers, Analytics Engineers, Data Scientists, Architects and Product Managers to deliver world-class data products
Essential Criteria
Required:
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Strong skills in SQL; experience with Snowflake and DBT.
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Proficiency in SQL and NoSQL databases.
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Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer.
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Familiarity with cloud platforms (AWS, Azure).
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Experience with CI/CD pipelines and automation tools like GitHub Actions.
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Experience with data quality and observability platform (e.g. Soda.io, BigEye)
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Understanding of monitoring and logging tools (e.g., NewRelic, Grafana).
Preferred:
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Prior experience deploying Data pipeline in production environments.
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Knowledge of infrastructure-as-code tools like Terraform or CloudFormation
Same Posting Description for Internal and External Candidates
Benefits
- Colleague discount across our multi-brands – Sainsbury’s, Argos and Habitat
- Holiday allowance
- Bonus scheme
- Pension plan
- Flexible / Smarter working policy
- Special offers on gym memberships, restaurants, holidays, retail vouchers and more
RESPONSIBILITIES
We’d all like amazing work to do, and real work-life balance. That’s waiting for you at Sainsbury’s. Think about the scale it takes for us to feed the nation. The level of data, transactions and variety it involves. Then you’ll realise that ours is a modern software engineering environment because it has to be. We’ve made serious investment into a Tech Academy and into setting standards and principles. We iterate, learn, experiment and push ways of working such as Agile, Scrum and XP. So you can look forward to awesome opportunities in everything from AI to reusable tech.


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QUALIFICATIONS
We are committed to being a truly inclusive retailer, so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new - whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them:
Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury’s every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform.
Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme.
Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave.
Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).
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