Senior Analytics Engineer – SQL, OLAP, AWS

Why join us
Joining Sainsbury's Tech as a Senior Analytics Engineer means becoming part of a leading technology organisation that powers the UK's top multi-channel, multi-brand retailer. We are a community of passionate engineers who are empowered to define and deliver through the use of technology. With a focus on continuous improvement and technical excellence, you'll have the opportunity to shape our engineering vision, drive adoption of best practises, and work with cutting-edge technologies.

As a Senior Analytics Engineer, you will bridge the domains of architecture, data engineering, and data insights to lead technical solutions that empower our business initiatives. You will help steer cross-functional teams, including Architects, Product Managers, Engineers, and Strategy teams, to design, develop, and implement data-driven solutions. You will define and champion best practices, contribute to technical decision-making, and support continuous improvement initiatives within the organisation by delivering actionable insights through analytics.

What you'll do
As a Senior Analytics Engineer at Sainsbury's Tech, you will:

• Guide Analytics Engineers by defining and demonstrating best practices in analytics
• Create designs for complex projects (data products), iterating existing components or designing new components as needed
• Influence teams within your area of responsibility to design and build components aligned with the overall roadmap and engineering principles
• Design and implement solutions to address Data Quality issues and to improve the overall quality of all deliverables
• Collaborate within teams to contribute to the execution of the organisation's technical strategy, focusing on the development and deployment of data solutions
• 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

• High proficiency in SQL for data transformation, analysis and problem-solving
• Good understanding of relational and non-relational databases and experience with Data Vault and OLAP architectures
• Experience with cloud-based data warehouses is an advantage
• Experience with relevant coding languages and unit testing
• Understanding of version control systems, continuous integration pipelines, and service-oriented architecture
• Highly numerate background with the ability to drive business change through data
• Excellent communication skills, capable of explaining complex information in simple terms using available documentation tools
• 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
• Working knowledge of modern data architecture frameworks, understanding of Architecture & Engineering Standards/ Principles and knowing when and how to implement frameworks and when to make suggestions for new Standards
• Understanding the need for different and appropriate design techniques, such as data vault and data warehousing

How we work

We work flexibly at Sainsburys. This is a full-time role (37 hours/week), but for the right candidate, we are happy to flex the time commitment. We can also offer a full flexibility around when you work, allowing you to fit your working hours around your life.