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Sainsbury's

Data Architect

City of London
Posted about 12 hours ago
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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. 

Why join us

Joining our team at Sainsbury's means becoming part of a multi-channel, multi-brand business that serves millions of customers daily, providing a vast and diverse dataset that is truly exciting. With over 1.2 billion transactions each year, we have the opportunity to harness this data and build scalable, high-performance products using cutting-edge technology, such as our award-winning Smartshop app, to deliver an exceptional shopping experience for our customers. As a Data Architect, you will play a crucial role in designing and building advanced data solutions and models, working closely with cross-functional teams to shape innovative products and services. In our inclusive and agile environment, you will have the freedom to explore, experiment, and tackle real-world challenges, witnessing the impact of your creations on millions of people across the UK. Additionally, you will benefit from a supportive culture that fosters innovation, collaboration, continuous learning, and personal ownership. Together, we strive to create a work-life balance that enables you to excel in your professional and personal aspirations. 

What you'll do

  • As a Data Architect within our multi-channel, multi-brand business, you will play a pivotal role in designing and building leading-edge data solutions and models.
  • Working closely with colleagues such as Product Owners and the Engineering community, you will ensure the delivery of optimal data solutions that align with business requirements.
  • Your responsibilities will include triaging new requirements, assessing their impact, and providing estimates for modifying data models accordingly.
  • You will also be responsible for developing and enhancing business physical data models to meet evolving needs while driving alignment as necessary.
  • Acting as the custodian of data models, you will define and own modelling within delivery teams, ensuring adherence to standards and principles.
  • It will be your duty to create solutions that fulfil business needs and align with the end state architecture, while simultaneously documenting, communicating, and centrally managing data models in an appropriate manner.
  • Collaborating with the broader architecture community, you will share your expertise to promote alignment and innovation across Sainsbury’s Tech.
  • As an experienced Data Modeller or Architect, you will bring your passion for creating order within reporting structures, along with a comprehensive understanding of Data Warehousing/Analytic end-to-end architecture.
  • Your proficiency with various modelling methodologies, such as 3NF, Dimensional, and Data Vault, will be essential, and your expertise in staying up to date with industry advancements, including machine learning and modern algorithmic techniques at scale, will be valuable in driving data design best practices.
  • Strong communication and influencing skills will enable you to advocate for and implement these best practices at the Engineering and Product Manager levels.
  • A curious and driven mindset will empower you to comprehend business processes and the data they generate, leveraging opportunities to structure and utilise this data for driving business value.
  • In addition to abundant training and growth opportunities, you will enjoy benefits such as colleague discounts, holiday allowance, bonus schemes, pension plans, and special offers on various lifestyle perks.
  • We prioritise work-life balance and offer flexibility in terms of remote and collaborative working, empowering our colleagues to find their own ideal balance while delivering exceptional results.

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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.

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Graduate Consultant — 2026 Scheme

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£35,000/yr

Why you're a good match

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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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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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Who you are

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  • As a Data Architect for our multi-channel, multi-brand business, you are a skilled and experienced professional who thrives in working with vast and complex data sets.
  • With a passion for creating order within reporting structures, you possess expertise in data warehousing, analytic end-to-end architecture, and various modelling methodologies such as 3NF, Dimensional, and Data Vault.
  • Your knowledge of the latest industry developments, including machine learning and modern algorithmic techniques at scale, enables you to design and build leading-edge data solutions that deliver valuable insights and enhance the overall customer experience.
  • You've got experience in canonical modelling, publication service/microservice based schematic design.
  • Your strong communication and influencing skills, combined with your curiosity and drive to understand business processes and leverage data for driving business value, make you a valuable asset in shaping and designing new products and services within the overall data architecture of our organisation.

Essential Criteria

  • Experience working with semi-structured, high-volume data, ideally in Digital tagging or Analytics area.
  • Strong skills in stakeholder management.
  • Hands on experience in DV 2.0 and Kimball dimensional data modelling.
  • Experience in a Matrix reporting structure.
  • Ability to serve as the Architecture custodian for the squad, ensuring standards and principles are followed.
  • Technical expertise in designing ELT pipelines.
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Skills

Data architecture
Data modeling
Data warehousing
3NF
Dimensional modeling
Data Vault 2.0
ELT pipelines
Stakeholder management
Machine learning
Microservices
Canonical modeling
Agile
Scrum
XP
Digital tagging
Analytics

Location

City of London, England, United Kingdom

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