Data Engineer

400060197

FULL_TIME

Other

Permanent

London Store Support Centre and Home, Sainsbury's Supermarkets Ltd 33 Charterhouse Street, London Greater London, EC1M 6HA

Competitive Plus Benefits

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.

We’re a multi-channel, multi-brand business serving millions of customers a day, with the UK’s largest loyalty scheme and an ever-evolving set of digital platforms. All of this equals over 1.2 billion transactions each year, presenting a volume, depth and complexity of data that few can match. We don’t think we’re exaggerating when we say we have the most exciting data set in the country. And from the insights gained, we build scalable, high-performance products using cutting-edge technology that give our customers an amazing shopping experience – like our award-winning Smartshop app. In an inclusive, agile environment, you’ll have the space to be curious, to experiment, and to solve real-world challenges. And you’ll get to see your creations in the hands of millions of people across the UK. As a Data Engineer, you’ll be part of one of our data engineering teams, applying architectural and engineering principles to define and deliver technology that will better customer experiences, improve efficiency and reduce business costs, helping us to lower prices. You’ll support your team by enabling performance, compliance and risk management by sharing your expertise, judgement and passion for delivering quality products for customers. In the role, you’ll contribute to the design and development of real-time analytics for our sales data. You’ll use Python, SQL and Java (17+) with tools and frameworks like Spring Boot, Maven and Docker to create stream processors on Kafka topics, running on Kubernetes clusters, and data pipelines in Snowflake. We use a variety of tech here and you need to be willing to pick up new tools and techniques. We’d also like you to be yourself – analytical, curious and unafraid to challenge the status quo. You’ll be a role model for best practices, championing a customer centric mindset and a passion for finding creative ways to solve problems, mentoring fellow engineers as a progressive member of the engineering community. More about the role · You’ll contribute to the design and development of large-scale high performance streaming pipelines for our sales data using Python, SQL, Java (17+) with tools and frameworks like Snowflake, Confluent Kafka, Kafka Streams, Spring Boot, Maven and Docker. · You’ll contribute to the implementation of cloud and container technologies such as Kubernetes on AWS. · You’ll contribute to the design and support of services and internal frameworks that enhance Sainsbury’s capabilities. · You’ll guide, support and enable performance within the team through providing technical knowledge and ideas. About you · Proven experience of software design and implementation, security, cloud, infrastructure as code and CI/CD and any relevant hardware. · Self-drive and constantly striving to improve your team, division and peers. · Drive for advocacy of agile/lean delivery methodologies. · A passion for delivering solutions to customers and living the DevSecOps principles. · A passion for enhancing your knowledge and evidence curiosity in emerging tech. · Display empathy and understanding in supporting colleagues in the team to deliver. · An interest in learning about Java and Kafka, and real-time data pipelines. · Proficiency in engineering practice, including knowledge of engineering and architectural principles.   Essential Criteria · Experience building ETL Pipelines with Airflow, Python and SQL. · Experience with raw data vault and star schema modelling. · Data warehousing experience, especially with Snowflake. · Experience working within data analytics teams. Nice-to-haves · Possess programming language proficiency in Java. · Possess proficiency in streaming data pipelines with Kafka. As well as lots of on-the-job training and endless opportunities, you’ll get: · Colleague discount across our multi-brands – Sainsbury’s, Argos and Habitat. · 10% side project/personal development time. · Generous holiday allowance, with holiday buying scheme. · Bonus scheme – up to 10% of base salary. · Pension plan. · Special offers on gym memberships, restaurants, holidays, retail vouchers and more. Work-life balance is important to us, so we offer our colleagues as much flexibility as possible in line with the needs of their role. We trust them to decide how, where and when they work, combining remote and collaborative working with a flexible approach to hours, giving them plenty of time and space for life outside of work whilst delivering against our business goals. 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.     Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).

2026-05-07 09:23:56

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Data Engineer

Salary: Competitive Plus Benefits Location: London Store Support Centre and Home, London, EC1M 6HA Contract type: Permanent Business area: Sainsbury's Tech Closing date: 14 May 2026 Requisition ID: 400060197

We’re a multi-channel, multi-brand business serving millions of customers a day, with the UK’s largest loyalty scheme and an ever-evolving set of digital platforms. All of this equals over 1.2 billion transactions each year, presenting a volume, depth and complexity of data that few can match.

We don’t think we’re exaggerating when we say we have the most exciting data set in the country. And from the insights gained, we build scalable, high-performance products using cutting-edge technology that give our customers an amazing shopping experience – like our award-winning Smartshop app. In an inclusive, agile environment, you’ll have the space to be curious, to experiment, and to solve real-world challenges. And you’ll get to see your creations in the hands of millions of people across the UK.

As a Data Engineer, you’ll be part of one of our data engineering teams, applying architectural and engineering principles to define and deliver technology that will better customer experiences, improve efficiency and reduce business costs, helping us to lower prices. You’ll support your team by enabling performance, compliance and risk management by sharing your expertise, judgement and passion for delivering quality products for customers.

In the role, you’ll contribute to the design and development of real-time analytics for our sales data. You’ll use Python, SQL and Java (17+) with tools and frameworks like Spring Boot, Maven and Docker to create stream processors on Kafka topics, running on Kubernetes clusters, and data pipelines in Snowflake.

We use a variety of tech here and you need to be willing to pick up new tools and techniques. We’d also like you to be yourself – analytical, curious and unafraid to challenge the status quo. You’ll be a role model for best practices, championing a customer centric mindset and a passion for finding creative ways to solve problems, mentoring fellow engineers as a progressive member of the engineering community.

More about the role

· You’ll contribute to the design and development of large-scale high performance streaming pipelines for our sales data using Python, SQL, Java (17+) with tools and frameworks like Snowflake, Confluent Kafka, Kafka Streams, Spring Boot, Maven and Docker.

· You’ll contribute to the implementation of cloud and container technologies such as Kubernetes on AWS.

· You’ll contribute to the design and support of services and internal frameworks that enhance Sainsbury’s capabilities.

· You’ll guide, support and enable performance within the team through providing technical knowledge and ideas.

About you

· Proven experience of software design and implementation, security, cloud, infrastructure as code and CI/CD and any relevant hardware.

· Self-drive and constantly striving to improve your team, division and peers.

· Drive for advocacy of agile/lean delivery methodologies.

· A passion for delivering solutions to customers and living the DevSecOps principles.

· A passion for enhancing your knowledge and evidence curiosity in emerging tech.

· Display empathy and understanding in supporting colleagues in the team to deliver.

· An interest in learning about Java and Kafka, and real-time data pipelines.

· Proficiency in engineering practice, including knowledge of engineering and architectural principles.

Essential Criteria

· Experience building ETL Pipelines with Airflow, Python and SQL.

· Experience with raw data vault and star schema modelling.

· Data warehousing experience, especially with Snowflake.

· Experience working within data analytics teams.

Nice-to-haves

· Possess programming language proficiency in Java.

· Possess proficiency in streaming data pipelines with Kafka.

As well as lots of on-the-job training and endless opportunities, you’ll get:

· Colleague discount across our multi-brands – Sainsbury’s, Argos and Habitat.

· 10% side project/personal development time.

· Generous holiday allowance, with holiday buying scheme.

· Bonus scheme – up to 10% of base salary.

· Pension plan.

· Special offers on gym memberships, restaurants, holidays, retail vouchers and more.

Work-life balance is important to us, so we offer our colleagues as much flexibility as possible in line with the needs of their role. We trust them to decide how, where and when they work, combining remote and collaborative working with a flexible approach to hours, giving them plenty of time and space for life outside of work whilst delivering against our business goals.

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.

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

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