Analytics Engineer – Data (AP)

Sainsbury's — United Kingdom

Salary: Not disclosed · Schedule: 4-Day Week · Work model: Hybrid

Skills: Agile, Communication, Data Modelling, Dimensional Modelling, ETL/ELT, SQL

Job Description

400076793

Full time

Other

Permanent

London Store Support Centre and Home, 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 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.

About the Role As an Analytics Engineer, you'll play an important role in transforming data into trusted, accessible insights that help drive decision-making across the business. Working within a collaborative, cross-functional data team, you'll help design, build and maintain scalable data models, pipelines and reporting-ready datasets that power analytics, operational reporting and business performance monitoring. You'll work with modern data technologies including SQL, DBT and cloud-based platforms to deliver reliable, well-structured data solutions. Partnering closely with Product Managers, Analysts, Data Engineers and business stakeholders, you'll help ensure data is accurate, governed and readily available to those who need it. This role sits within a high-impact data platform team responsible for sales and transaction data across Sainsbury's, Tu and Argos, providing the foundations for critical reporting, analysis and strategic decision-making. What You'll Do <ul><li>Build and maintain robust data models using DBT and SQL</li> <li>Develop and optimise data transformations to support analytics and reporting use cases</li> <li>Work with Data Engineers to ensure reliable and scalable data pipelines</li> <li>Support data quality monitoring, testing and validation processes</li> <li>Contribute to documentation, governance and best practices across the analytics platform</li> <li>Collaborate with Product Managers, Analysts and Engineers to deliver business value</li> <li>Investigate data issues and support continuous improvement of datasets and reporting assets</li> <li>Contribute to CI/CD processes and engineering standards across the team</li> </ul> ✅ Essential Criteria <ul><li>Strong SQL skills with experience building and optimising analytical datasets</li> <li>Commercial experience using DBT to develop and manage data transformations</li> <li>Good understanding of data modelling principles, including dimensional modelling and analytical data structures</li> <li>Experience working with cloud-based data platforms (AWS, Azure or GCP)</li> <li>Understanding of ETL/ELT concepts and modern data warehousing practices</li> <li>Experience working with version control tools such as Git</li> <li>Knowledge of data quality, testing and validation approaches</li> <li>Ability to work collaboratively within Agile delivery teams</li> <li>Strong problem-solving skills with the ability to translate business requirements into technical solutions</li> <li>Excellent communication skills and confidence working with both technical and non-technical stakeholders</li> </ul> ➕ Desirable Skills <ul><li>Exposure to Python for data transformation or automation activities</li> <li>Experience working with AWS services such as S3, Glue or Lambda</li> <li>Understanding of orchestration tools such as Airflow</li> <li>Experience with Looker, Power BI, Tableau or similar BI tools</li> <li>Exposure to CI/CD practices within data environments</li> <li>Knowledge of data observability and monitoring tools</li> <li>Experience supporting data products within a retail or eCommerce environment</li> </ul> �� How You'll Succeed <ul><li>Build trusted, high-quality datasets that enable better business decisions</li> <li>Partner effectively with analysts, engineers and stakeholders to understand and solve business challenges</li> <li>Apply strong analytical thinking to identify opportunities for improvement and optimisation</li> <li>Take ownership of delivering reliable, maintainable solutions within your product area</li> <li>Continuously develop your technical skills and contribute to team learning and best practices</li> <li>Balance speed of delivery with quality, governance and long-term maintainability</li> </ul> What's In It For You <ul><li>Colleague discount across Sainsbury's, Argos and Habitat</li> <li>Competitive holiday allowance</li> <li>Bonus scheme</li> <li>Pension plan</li> <li>Flexible and smarter working policies</li> <li>Access to a wide range of discounts including gyms, restaurants, retail and more</li> <li>Ongoing learning and development opportunities within a growing data and analytics community</li> </ul> This is an excellent opportunity for a mid-level Analytics Engineer looking to deepen their expertise in modern data platforms, DBT, cloud technologies and analytics engineering while delivering solutions that directly influence business performance at scale.

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 <a href="http://www.sainsburys.jobs">www.sainsburys.jobs</a> for a range of our benefits (note, length of service and eligibility criteria may apply).

2026-09-21 16:24:57

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Analytics Engineer – Data (AP)

Salary: Competitive Plus Benefits Location: London Store Support Centre and Home, London, EC1M 6HA Hours: Full time Contract type: Permanent Business area: Sainsbury's Tech Closing date: 28 September 2026 Requisition ID: 400076793

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.

About the Role

As an Analytics Engineer, you’ll play an important role in transforming data into trusted, accessible insights that help drive decision-making across the business. Working within a collaborative, cross-functional data team, you’ll help design, build and maintain scalable data models, pipelines and reporting-ready datasets that power analytics, operational reporting and business performance monitoring.

You’ll work with modern data technologies including SQL, DBT and cloud-based platforms to deliver reliable, well-structured data solutions. Partnering closely with Product Managers, Analysts, Data Engineers and business stakeholders, you’ll help ensure data is accurate, governed and readily available to those who need it.

This role sits within a high-impact data platform team responsible for sales and transaction data across Sainsbury’s, Tu and Argos, providing the foundations for critical reporting, analysis and strategic decision-making.

What You’ll Do

Build and maintain robust data models using DBT and SQL
Develop and optimise data transformations to support analytics and reporting use cases
Work with Data Engineers to ensure reliable and scalable data pipelines
Support data quality monitoring, testing and validation processes
Contribute to documentation, governance and best practices across the analytics platform
Collaborate with Product Managers, Analysts and Engineers to deliver business value
Investigate data issues and support continuous improvement of datasets and reporting assets
Contribute to CI/CD processes and engineering standards across the team

✅ Essential Criteria

Strong SQL skills with experience building and optimising analytical datasets
Commercial experience using DBT to develop and manage data transformations
Good understanding of data modelling principles, including dimensional modelling and analytical data structures
Experience working with cloud-based data platforms (AWS, Azure or GCP)
Understanding of ETL/ELT concepts and modern data warehousing practices
Experience working with version control tools such as Git
Knowledge of data quality, testing and validation approaches
Ability to work collaboratively within Agile delivery teams
Strong problem-solving skills with the ability to translate business requirements into technical solutions
Excellent communication skills and confidence working with both technical and non-technical stakeholders

➕ Desirable Skills

Exposure to Python for data transformation or automation activities
Experience working with AWS services such as S3, Glue or Lambda
Understanding of orchestration tools such as Airflow
Experience with Looker, Power BI, Tableau or similar BI tools
Exposure to CI/CD practices within data environments
Knowledge of data observability and monitoring tools
Experience supporting data products within a retail or eCommerce environment

�� How You’ll Succeed

Build trusted, high-quality datasets that enable better business decisions
Partner effectively with analysts, engineers and stakeholders to understand and solve business challenges
Apply strong analytical thinking to identify opportunities for improvement and optimisation
Take ownership of delivering reliable, maintainable solutions within your product area
Continuously develop your technical skills and contribute to team learning and best practices
Balance speed of delivery with quality, governance and long-term maintainability

What’s In It For You

Colleague discount across Sainsbury’s, Argos and Habitat
Competitive holiday allowance
Bonus scheme
Pension plan
Flexible and smarter working policies
Access to a wide range of discounts including gyms, restaurants, retail and more
Ongoing learning and development opportunities within a growing data and analytics community

This is an excellent opportunity for a mid-level Analytics Engineer looking to deepen their expertise in modern data platforms, DBT, cloud technologies and analytics engineering while delivering solutions that directly influence business performance at scale.

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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This listing was sourced from 4dayweek.io.

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