Data Engineering Manager – SQL, Python, AWS, ML/AI
Engineering Manager - Machine Learning / AI - London/Hybrid working
Our team is responsible for developing in-house AI solutions that assist/automate decision-making across the business. We work closely with our allied product, analytics, visualisation, and engineering teams, as well as our business stakeholders to deliver data products that deliver demonstrable business value. We are the business's ML, AI and decision automation experts.
Responsibilities of the Engineering Manager are:
Stakeholder Management
- Develop and maintain relationships with key internal customers and product owners
- Roadmap practical, timely solutions to valuable business problems
- Identify, scope and size data science opportunities across the Business
Technical Leadership
- Oversee cross-functional deliveries, collaborating with managers from Product, Analytics, Science, Visualisation and Engineering
- Design engineering solutions that meet complex business challenges
- Contribute to technical delivery
- Conduct code reviews, ensuring delivery of production-ready code
- Orchestrate experiments that quantify the performance of algorithms
Coaching, Mentoring, and Team Building
- Identify opportunities for team upskilling
- Guide the development and delivery of appropriate training
- Mentor engineers, helping them to develop their technical and leadership skills
Who you are
- With your technical expertise, you can drive the delivery of innovative solutions that create value, increase efficiency, and enhance performance for our business
- With an understanding of how to recruit, retain, and motivate teams, you have excellent interpersonal skills and a commitment to fostering a collaborative and inclusive culture
- You bring cutting-edge processes and technologies to the table, always looking to enhance our engineering practises and driving the adoption of agile delivery practices
- With your hands-on experience in languages, tools, and infrastructure, you lead by example, inspire your teams, and ensure successful delivery of large-scale platforms
- Your attention to detail, strategic mindset, and financial acumen enable you to manage budgets and optimise value realisation, while always prioritising the needs of our customers and the continuous improvement of our engineering capabilities
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.
Job Term: Permanent
Job Location: London / Hybrid
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