At a Glance
- Tasks: Design and build cutting-edge data solutions to enhance customer experiences.
- Company: Join Sainsbury's, a leading retailer serving millions daily.
- Benefits: Enjoy discounts, flexible working, and a supportive culture.
- Other info: Opportunities for growth and innovation in a collaborative team.
- Why this job: Make a real impact with your data skills in a modern tech environment.
- Qualifications: Experience in data modelling and strong communication skills required.
The predicted salary is between 63000 - 77000 £ per year.
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.
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.
Who you are
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.
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.
Data Architect in London employer: Sainsbury's Bank
At Sainsbury's, we pride ourselves on being an exceptional employer that values innovation, collaboration, and work-life balance. As a Data Architect, you'll thrive in a dynamic environment where your expertise will directly impact millions of customers, supported by a culture that encourages continuous learning and personal growth. With a comprehensive benefits package, including generous discounts, flexible working options, and a commitment to inclusivity, Sainsbury's is the perfect place for you to advance your career while enjoying a fulfilling personal life.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sainsbury's Bank!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Architect at Sainsbury's Bank.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sainsbury's Bank.
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When you find a suitable opening like Data Architect at Sainsbury's Bank, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Sainsbury's Bank, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sainsbury's Bank. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Sainsbury's Bank
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sainsbury's Bank!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
