Senior Analytics Engineer

Job Description

Sainsburys Tech - Senior Analytics Engineer with core skills in Data Modelling and Data Engineering

Why Join Us:

We are looking an experienced Senior Analytics Engineer. As an Engineer, you'll have the chance to write great SQL, design complex data models, collaborate with a talented team, and deliver robust data products alongside Data Architects, Data Engineers and Product Managers.

Join us to be part of our data revolution and shape incredible experiences for our colleagues and customers. At Sainsbury's, we may be a 150-year-old retail chain, but we're on an exciting journey of transformation. As a Tech professional, you should consider joining us because we're changing the way we operate, embracing nimble thinking, and empowering our teams to push boundaries and create amazing systems and technologies. We're unlocking the immense potential of petabytes of data, leveraging it to make business decisions that are unparalleled. With thousands of shops, hundreds of thousands of colleagues, and millions of customers, we offer an unparalleled opportunity to work on groundbreaking projects.

What You'll Do:

• Write efficient SQL queries and design domain models to uncover complex data relationships.
• Build and maintain scalable, robust, and well-tested data products using AWS, SQL, and CI/CD.
• Mentor colleagues and share knowledge to build strong team relationships.
• Increase efficiency, speed of data ingestion, data quality, and ensure data security and compliance.
• Automate deployments and testing, and develop monitoring and alerting tools for live applications.
• Create designs for complex projects, iterating existing components or designing new ones as needed.
• Collaborate with Data Architects, Data Engineers, Product Managers and Strategy teams to deliver world-class data products.
• Lead outcomes, develop stakeholder relationships, and deliver high-quality insights through data storytelling.
• Write code following coding standards and best practices, adhering to a test-driven and behaviour-driven development approach.
• Assist in architecting systems, designing efficient data solutions, and facilitating technical decision-making.
• Apply insightful domain knowledge to business problems, recommending and implementing data-led approaches.
• Ensure high-quality, accurate, and professional outputs that drive real business decisions.

Who You Are:

• Passionate about data with previous experience as a Data Engineer or Analytics Engineer.
• Skilled in building scalable, robust products using data built tools and proficient in SQL and core engineering principles.
• Experienced with relevant coding languages and unit testing.
• Understanding of version control systems, continuous integration pipelines, and service-oriented architecture.
• Knowledgeable about relational and non-relational databases, modern data architecture frameworks, and appropriate design techniques such as data vault and data warehousing.
• Highly numerate with the ability to drive business change through data.
• Excellent communication skills, capable of explaining complex information in simple terms.
• Strong problem-solving skills and attention to detail, with a curiosity to explore opportunities and solve problems logically.
• Proactive attitude towards continuous learning and career development.
• Delivery of solutions with longevity and maintainability following the latest Agile practices.
• Positive impact on the wider engineering and analytics community through contributions and support.

Responsibilities

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.

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. 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 20% 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, interest free car loan of up to £10k, 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, you will also be eligible for private healthcare too.

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.

Please see for a range of our benefits (note, length of service and eligibility criteria may apply).