Data Engineering Manager - Machine Learning
Salary: Competitive Plus Benefits
Location: Holborn Store Support Centre and Home, London, EC1N 2HT
Contract type: Permanent
Business area: Sainsbury's Tech
Closing date: 29 January 2025
Requisition ID: 266623
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 team
We’re proud to work with one of the most exciting data sets in the UK. Our massive datasets, comprising billions of data points from diverse sources across the retail landscape, drive machine learning models that enhance personalisation and product recommendations. This work directly impacts millions of customers daily. In our inclusive, agile environment, you’ll have the freedom to explore, experiment, and solve real-world challenges—seeing your creations in the hands of millions across the UK.
What you'll do
* Lead a multi-skilled data and ML engineering team to deliver innovative and high-performing solutions that create value and drive efficiency for our business.
* Oversee both change and run activities while owning the entire technology stack, including service management.
* Manage the ML Engineering team and collaborate with Data Science to optimise data pipelines for feature engineering, real-time model serving, and continuous integration of machine learning models.
* Own the architectural decisions around our data infrastructure, ensuring scalability, security, and reliability of our data ecosystem, leveraging platforms such as Spark, Airflow, and Snowflake.
* Recruit and retain a talented team, mentoring and coaching colleagues, shaping a world-class engineering function, and ensuring the team possesses the right skills for product development.
* Contribute to defining the technical direction and vision, foster communities of practise, advocate and embed agile / lean delivery methodologies, manage initiative budgets, and oversee service support and SLAs.
* Manage people and product financial data, meeting targets, providing accurate reporting, and seeking value realisation opportunities.
* Lead by example and inspire your team, continuously striving for improvement and delivering impactful solutions while maintaining attention to detail and effectively managing resources.
Who you are
We are looking for an experienced technical leader:
* You are an experienced and passionate leader with a deep understanding of the critical role that product data plays in the success of a retailer.
* With your technical expertise and end-to-end ownership mindset, you can drive the delivery of innovative solutions that create value, increase efficiency, and enhance performance for our business.
* With your hands-on experience leading a ML/ Data Engineering/DevOps/Cloud environment, you lead by example, inspire your teams, and ensure successful delivery of large-scale platforms.
* Hands-on experience with cloud-based data engineering platforms (AWS, GCP, or Azure), and familiarity with data lake architectures, stream processing, and real-time analytics frameworks is a plus.
* With an understanding of how to recruit, retain, and motivate teams, you have excellent interpersonal skills and commitment to fostering a collaborative and inclusive culture.
* You bring cutting-edge processes and technologies to the table, always looking to enhance our engineering practices and driving the adoption of agile / lean delivery methodologies.
* Your attention to detail, strategic mindset, and financial acumen enables you to manage budgets and optimise value realisation, while always prioritising the needs of our customers and the continuous improvement of our engineering capabilities.
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