At a Glance
- Tasks: Design and implement innovative data solutions while collaborating with cross-functional teams.
- Company: Join Sainsbury's, a leading retailer with over 150 years of experience.
- Benefits: Enjoy flexible working, colleague discounts, health cover, and a performance-related bonus.
- Other info: Opportunities for career growth and continuous learning in a dynamic setting.
- Why this job: Make a real impact on data management in a modern tech environment.
- Qualifications: Experience in data platforms and strong engineering skills required.
The predicted salary is between 60000 - 80000 £ per year.
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.
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.
- 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.
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 to feed the nation. The level of data, transactions and variety involved. Then you’ll realise this is a modern software engineering environment, because it has to be. We’ve made significant investment in the standards and principles that shape how we work. We iterate, learn, experiment and champion ways of working such as Agile, Scrum and XP. So you can look forward to exciting opportunities across everything from AI to reusable tech.
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.
Staff Data Engineer - Data Channels in London employer: Sainsbury's
Sainsbury's is an excellent employer for those passionate about fashion and design, offering a vibrant work culture that fosters creativity and collaboration. With opportunities for professional growth and mentorship within a dynamic team, employees can thrive while contributing to innovative womenswear collections that resonate with customers. Located in a supportive environment, Sainsbury's prioritises employee well-being and development, making it a rewarding place to build a career in the fashion industry.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Engineer - Data Channels in London
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We think you need these skills to ace Staff Data Engineer - Data Channels in London
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