Senior Analytics Engineer

Sainsbury's; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading company in retail is seeking a Senior Analytics Engineer to join their transformation journey. This role involves writing advanced SQL, designing data models, and collaborating with teams to deliver high-quality data products. Ideal candidates are passionate about data, skilled in data engineering, and eager to drive business change through data-led approaches. Join us to work on groundbreaking projects that shape experiences for millions of customers.

Qualifications

• Experience as a Data Engineer or Analytics Engineer.
• Proficient in SQL and core engineering principles.
• Knowledge of relational and non-relational databases.

Responsibilities

• Write efficient SQL queries and design domain models.
• Build and maintain scalable data products using AWS.
• Mentor colleagues and share knowledge.

Skills

SQL

Data Modelling

Data Engineering

Data Storytelling

Problem Solving

Tools

AWS

CI/CD

Version Control

Job description

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

Why Join Us:

We are looking for an experienced Senior Analytics Engineer. As an Engineer, you'll have the opportunity to write advanced 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, consider joining us because we're changing our operations, embracing nimble thinking, and empowering teams to innovate with systems and technologies. We're unlocking the potential of petabytes of data to make unparalleled business decisions. With thousands of shops, hundreds of thousands of colleagues, and millions of customers, we offer the chance to work on groundbreaking projects.

What You'll Do:

1. Write efficient SQL queries and design domain models to explore complex data relationships.
2. Build and maintain scalable, robust, and well-tested data products using AWS, SQL, and CI/CD pipelines.
3. Mentor colleagues and share knowledge to strengthen team capabilities.
4. Improve data ingestion, quality, security, and compliance.
5. Automate deployments, testing, and develop monitoring and alerting tools for live systems.
6. Create designs for complex projects, iterating or developing new components as needed.
7. Collaborate with Data Architects, Data Engineers, Product Managers, and Strategy teams to deliver high-quality data products.
8. Lead outcomes, develop stakeholder relationships, and communicate insights effectively through data storytelling.
9. Follow coding standards, best practices, and adopt test-driven and behavior-driven development approaches.
10. Assist in system architecture, data solution design, and technical decision-making.
11. Apply domain knowledge to solve business problems with data-led approaches.
12. Ensure outputs are high-quality, accurate, and support data-driven decisions.

Who You Are:

1. Passionate about data with experience as a Data Engineer or Analytics Engineer.
2. Skilled in building scalable, robust data products, proficient in SQL and core engineering principles.
3. Experienced with relevant coding languages and unit testing.
4. Familiar with version control, CI pipelines, and service-oriented architecture.
5. Knowledgeable about relational and non-relational databases, modern data architecture frameworks, and design techniques like data vault and data warehousing.
6. Highly numerate with the ability to drive business change through data.
7. Excellent communicator, able to explain complex concepts simply.
8. Strong problem-solving skills, detail-oriented, curious to explore and resolve issues logically.
9. Proactive in continuous learning and career growth.
10. Deliver solutions that are maintainable and adhere to Agile practices.
11. Contribute positively to the engineering and analytics community through support and contributions.