Data Engineering Manager - London

Data Engineering Manager – London

London | Hybrid – Monday to Thursday in the office. Friday work from home

Salary | £85,000–£95,000 dependent on experience

Ref J13147

Lead the function. Develop the team. Drive delivery.

A fast-growing AI SaaS company is seeking an experienced Data Engineering Manager to lead and develop its Data Engineering team.

This is an exciting opportunity to join at a pivotal stage of the company's growth. As Data Engineering Manager, you'll be responsible for leading the team, driving engineering standards and ensuring the successful delivery of scalable data solutions that underpin innovative AI products.

Working closely with Product, AI and Engineering teams, you'll help foster a product-led engineering culture, mentor and develop engineers, and provide the technical leadership needed to support the continued growth of the business. Whilst you'll retain the technical credibility to guide the team, this is primarily a leadership and management role rather than a hands-on development position.

What you'll be doing

• Lead, mentor and develop a team of Data Engineers.
• Build and develop a high-performing engineering team.
• Drive a product-led engineering culture and embed engineering best practice.
• Define engineering standards, data models and ways of working.
• Oversee the design and delivery of scalable data platforms.
• Provide technical leadership across Python, SQL, ETL and ELT development.
• Drive CI/CD, automation and modern engineering practices.
• Collaborate with Product, AI and Engineering teams, building strong relationships with internal stakeholders and client technical teams to deliver innovative data solutions.
• Support recruitment, coaching and the continued growth of the Data Engineering function.

What you'll bring

• Previous experience leading or managing Data Engineering teams.
• Strong leadership, mentoring and people development experience.
• A product mindset with the ability to balance technical excellence with business objectives.
• Strong stakeholder management and communication skills, with the ability to build effective relationships across Product, Engineering, AI and client technical teams
• Strong experience with Python and SQL.
• Expertise building modern data platforms on Azure, AWS or GCP.
• Strong ETL and ELT engineering experience.
• Data modelling and data warehousing expertise.
• CI/CD, Git and engineering best practice.

Why join?

• Lead and shape a growing Data Engineering team within a fast-growing AI SaaS business.
• Build a product-led engineering culture focused on quality, collaboration and continuous improvement.
• Work on innovative AI and data products solving real business challenges.
• Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouraged.
• Play a key role in the continued growth and success of the Data Engineering function.

If you're looking for a role where you can influence technical direction, build great engineering practices and remain close to the technology, we want to hear from you.

For more information make an application today!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

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