Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop user-friendly data solutions that drive insights for suppliers.
- Company: Join Ocado Retail, the UK's largest online supermarket, and be part of an innovative team.
- Benefits: Enjoy hybrid working, competitive salary, health perks, and discounts at M&S.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Experience in data visualisation and strong SQL skills are essential.
- Other info: Collaborative environment with opportunities for career growth and learning.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Contract type: Permanent
Location: Hatfield (Hybrid working – 3 days in the office)
Working hours per week: 40 hours
Level: Senior
Application Closing Date: Monday 8th December 2025
About Us
Our mission is to deliver joy in every shop, through unbeatable choice, unrivalled service, and reassuringly good value. We’re Ocado Retail, a market‑leading joint venture between Ocado Group and M&S, and the world’s largest dedicated online supermarket, ocado.com.
About The Team And The Role
As part of our strategic development of product management within ORL, we are creating a dedicated Product Pod for the Ocado Hub. This new, agile team will own the development and innovation roadmap for a suite of critical supplier‑facing applications, including Supplier Hub, Promotions, JBP, Ads Manager, and Beet (Ocado’s self‑serve data platform). We are looking for a skilled and insightful Data Product Developer to join this new pod. You will be responsible for designing, developing and maintaining intuitive, effective self‑serve data solutions. Your work will primarily focus on our Beet data platform but will extend across all applications as required. You will transform complex data into clear, actionable insights for our suppliers and internal teams, enabling data‑driven decisions across the business.
What You’ll Do
- Design, build, and maintain insightful, user‑friendly, and performant dashboards and reports.
- Translate complex business requirements from suppliers and internal stakeholders into effective self‑serve data solutions.
- Optimise and maintain the existing suite of dashboards and the platforms while contributing to the technical evaluation of future solutions.
- Champion data visualisation best practices, ensuring all solutions are intuitive, easy to understand, and drive clear actions.
- Develop and iterate on data models to support robust and scalable reporting.
- Collaborate with Data Engineers to define data requirements and ensure data pipelines are reliable and accurate.
- Participate actively in the team's agile sprint‑based workflow, from requirements gathering and design through to testing and deployment.
- Work with front‑end and back‑end developers to integrate and embed data visualisations within the wider Ocado Hub applications.
- Contribute to the continuous improvement of the team's data practices, governance, and tooling.
- Work closely with the Product Manager and key stakeholders (e.g. suppliers, Buyers) to understand their data needs, gather feedback, and iterate on solutions.
- Act as a subject‑matter expert on data visualisation, providing support and training to end‑users to drive adoption.
- Troubleshoot and resolve complex data queries, performance issues, and visualisation bugs.
Essential
- Proven experience as a Data Visualisation Developer, Business Intelligence Developer, Analytics Engineer or in a similar analytical role.
- Strong expertise in a major data visualisation platform, especially Tableau.
- Excellent understanding of data visualisation principles and best practices – you know how to tell a compelling story with data.
- Proficiency in writing and optimising complex SQL queries.
- Experience in gathering and translating business requirements into technical data solutions.
- Excellent problem‑solving skills and the ability to communicate complex data concepts to non‑technical audiences.
Desirable
- Experience with other data visualisation tools (e.g., Power BI, Looker, ThoughtSpot, Qlik) or data notebook platforms.
- Familiarity with cloud platforms (GCP or AWS) and their data services (e.g., BigQuery, Redshift).
- Understanding of data engineering concepts (e.g., ETL/ELT, data warehousing, data modelling).
- Experience in the e‑commerce or retail sectors.
- A curious mindset with a passion for learning new technologies and staying current with industry trends.
- Demonstrable expertise in Agile software development methodologies and working in product‑focused teams.
What’s In It For You
By joining Ocado Retail, you’ll have the chance to experience life at the world’s largest online retailer, work with an amazing bunch of people who challenge what’s possible each day, and grow your skills and career in online retail. In addition, you’ll enjoy a range of benefits:
- Health & Wellbeing: Private medical insurance with option to add your family, Digital GP appointments, market‑leading family policies, mental health support, discounted gym memberships, dental insurance, and more.
- Spend & Save: Annual bonus scheme split between personal and business objectives, recognition with reward platform, up to 7% matched pension contributions, 15% Ocado discount, 20% M&S discount, free breakfast each day in the office, electric vehicle leasing scheme, and free shuttle bus from Hatfield station to the office.
- Never miss the moments that matter: Hybrid working, 26 days holiday plus 8 flexible bank holidays, options to buy extra holiday, 2 weeks work from anywhere, and lifestyle break opportunities.
Our Hiring Process
Lucky for us, we receive a high volume of applications and genuinely appreciate the time and effort invested by every candidate. To ensure a fair and thorough process, every application is reviewed by a member of our team. If your skills and experience are a strong match, a Talent Partner will contact you to discuss the role and guide you through the next steps of our hiring process.
Your Application and AI
In the spirit of innovation, we welcome you to use AI tools in your application, just as we use them in our own business at Ocado Retail. However, as you leverage this technology, please don’t lose sight of the most important element: your unique self. Your experiences, passions, and personality are what truly set you apart. Ensure that your application still authentically conveys who you are and why you’re a great fit for us.
Everyone’s welcome
We’re an equal opportunities employer, which means that we make sure all potential colleagues are treated fairly and equally. We want to ensure everyone has a fair chance to apply; if you need this job description in an alternative format (e.g., larger print, different document type, etc.), please reach out to us at careers@ocadoretail.com and we’ll be happy to assist you, and if you require reasonable adjustments during the recruitment process, please let us know on the application form.
Data Product Developer in Hatfield employer: Ocado Retail
Contact Detail:
Ocado Retail Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Developer in Hatfield
✨Tip Number 1
Network like a pro! Reach out to current employees at Ocado through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Product Pod.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data visualisation projects, especially if you’ve worked with Tableau or similar tools. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing complex data concepts in simple terms. You’ll need to explain your ideas clearly to non-technical stakeholders, so practice with friends or family.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Ocado team.
We think you need these skills to ace Data Product Developer in Hatfield
Some tips for your application 🫡
Show Your Data Skills: When you're writing your application, make sure to highlight your experience with data visualisation and SQL. We want to see how you've turned complex data into actionable insights before, so share specific examples that showcase your skills!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to match the job description. Mention how your past experiences align with what we’re looking for in a Data Product Developer at Ocado.
Be Authentic: While it’s great to use AI tools to help with your application, don’t forget to let your personality shine through. We want to know who you are beyond your skills – share your passions and what excites you about this role!
Apply Through Our Website: Make sure to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Ocado Retail
✨Know Your Data Visualisation Tools
Make sure you brush up on your skills with major data visualisation platforms, especially Tableau. Be ready to discuss how you've used these tools in past projects and how they can be applied to the Ocado Hub's needs.
✨Understand the Business Requirements
Before the interview, take some time to think about how you would translate complex business requirements into effective data solutions. Prepare examples from your experience where you successfully gathered and implemented such requirements.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles, particularly around data queries or performance issues. Highlight your approach to troubleshooting and how you resolved these problems effectively.
✨Communicate Clearly with Non-Technical Audiences
Since you'll need to explain complex data concepts to non-technical stakeholders, practice how you would simplify these ideas. Think of examples where you've successfully communicated technical information in an accessible way.