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Sainsbury's

Staff Engineer - Data

City of London
Posted about 21 hours ago
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Why join us

We’re a 150+ year-old business that operates on an incredible scale. There’s data from our 10 million+ Nectar users, days like Black Friday that make Argos the 3rd biggest website in the UK, and supply chain integration that gets the right products to the right locations on time, every time.

The technology we use is modern, scalable and constantly evolving, whether we’re in the cloud deploying over 1,000 microservices into AWS, Azure and GCP, or streaming billions of messages on Kafka and building event-based solutions. This is where you can broaden your technical knowledge and help solve complex problems while using your Agile skills to develop our long-lived teams. As a Staff Engineer, you’ll help us bring together those complex horizontal outcomes that go beyond a single team and area, working with engineers and 3rd parties to deliver high quality and well-designed solutions.

What you’ll be doing

  • Work with the Head of Engineering and Engineering Managers to shape technical priorities and reduce ambiguity, acting as a technical backbone to ensure balanced decisions across architecture, delivery, service and cost.

  • Lead design reviews for complex data solutions, ensuring decisions are secure, scalable, cost-conscious, observable and aligned to platform standards.

  • Create and evolve reusable engineering patterns for ingestion, transformation, orchestration, data quality, reconciliation, testing, monitoring, alerting and access control.

  • Coach engineers and senior engineers through pairing, design critique, code review, incident learning, technical storytelling and pragmatic problem solving.

  • Act as a bridge between engineering, product, architecture, data governance, security, BI Hub, Data & Analytics, and strategic partners so that outcomes are technically coherent and commercially sensible.

  • Support the Definition of Ready process by helping teams clarify technical feasibility, dependencies, risks, data requirements, non-functional requirements and route-to-build evidence before quarterly planning commitments are made.

  • Stay close to delivery where your expertise makes the biggest difference: critical migrations, platform adoption, data quality improvements, incident prevention, supplier/service issues or strategically important customer data capabilities.

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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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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.

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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.

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Key Responsibilities:

  • Design and implement end-to-end data solutions that align with business objectives while adhering to best practices in data management and database performance.

  • Define and communicate technical direction across multiple squads. Challenge local decisions where they create unnecessary complexity, risk, duplicated capability or long-term support burden.

  • Raise the quality bar for data products through clear ownership, robust testing, reconciliation, observability, lineage, documentation, performance and supportability.

  • Collaborate with cross-functional teams to address security, GDPR, PII handling, role-based access, auditability and data governance are designed in from the start, not added later.

  • Champion Sainsbury’s engineering standards, aligned autonomy and community practice; turn standards into practical patterns teams can adopt, improving resilience through monitoring, alerting, support runbooks, incident learning, data quality checks, cost controls and proactive simplification.

More about you:

  • Strong practical experience designing and operating modern data platforms, pipelines and services across batch, streaming and event-driven patterns.

  • Deep understanding of engineering practice: clean design, testing strategy, CI/CD, infrastructure as code, observability, performance, security, incident response and DevSecOps.

  • Experience with cloud data services and modern data stacks. Relevant technologies may include Snowflake, Azure/AWS/GCP data services, Kafka, orchestration tooling, SQL, Python, dbt or equivalent transformation frameworks.

  • Strong knowledge of data modelling, data quality, metadata/catalogue, reconciliation, lineage, role-based access, privacy, GDPR/PII handling and data governance controls.

  • Ability to reason about trade-offs across cost, performance, resilience, supportability, delivery risk and strategic fit.

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  • Awareness of retail and customer data trends, including personalisation, customer identity, data products, BI modernisation, AI-enabled insight and responsible data use.

  • You can influence without authority and bring people with you, even when priorities differ across squads, products, architecture and partners.

  • You make technical decisions easier for others by framing the options, evidence, risks and recommended path in plain English.

  • You raise standards without becoming a blocker; you know when to insist on the right pattern and when to make a pragmatic trade-off safely.

  • You care about delivery and service, not just design. You follow through from idea to production, support, measurement and continuous improvement.

  • You coach with care and directness, helping engineers build confidence and judgement rather than simply giving them answers.

  • You are curious about the wider technology landscape and can connect external engineering trends to Sainsbury’s scale and customer context.

What you could do in future

There’s a lot of scope for widening your skills in this role, because it allows you to move into different areas, cover lots of ground and really broaden your understanding of how the business works. When you want to take the next step up, a Principal Engineer role would help you build on everything that you’ve already learned and achieved. Your technical understanding will still be in play, but it’ll be as much about looking upwards and outwards — thinking about strategy and where we should be going and solving problems right across the technical organisation.

In return

You’ll enjoy all this and more:

  • Flexible working – tailored approach to balance your working from home and collaboration in the office, sensible freedom to shape your week and day working hours, offices in different locations

  • Colleague discount across our brands – Sainsbury’s, Argos and Habitat

  • Health cover

  • Holiday allowance

  • Bonus scheme

  • Pension plan

  • Special offers on gym memberships, restaurants, holidays, retail vouchers and more

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Skills

Data Platform Design
Cloud Data Services
Kafka
SQL
Python
dbt
Data Modelling
CI/CD
Infrastructure As Code
DevSecOps
Data Governance
GDPR/PII Handling
Event-Driven Architecture
Observability
Technical Leadership
Agile Methodology

Location

City of London, England, United Kingdom

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