Analytics Engineering Manager

We are representing a confidential marketplace technology company in their search for an Analytics Engineering Manager to join their London team. This is a hybrid role requiring 3 days per week on-site.

Our client operates a complex, multi-sided marketplace platform at significant scale. Their Analytics Engineering function is a core pillar of the organization, with teams embedded directly within product and business domains, owning the pipelines, models, and metrics that power decision-making across the business.

Responsibilities

• Directly lead and manage a team of Analytics Engineers embedded in a defined business domain, owning their performance, development, and wellbeing
• Own the Analytics Engineering roadmap for your domain, identifying highest-leverage investments, prioritizing competing requests, and building business cases with stakeholders
• Drive a data products mindset across your estate with clear ownership, SLAs, observability, and data contracts built into team workflows
• Maintain strong technical involvement by reviewing data models and SQL, guiding architectural decisions, and providing hands-on support when the team needs unblocking
• Contribute to organization-wide decisions on tooling, standards, and processes, helping shape how Analytics Engineering operates beyond your immediate team
• Build a high-performing, inclusive team culture through regular actionable feedback, performance management, and effective team rituals
• Partner with recruiting to hire strong, diverse Analytics Engineering talent

What We're Looking For

Essential Requirements:

• Experience in an Analytics Engineering, BI Engineering, or Data Engineering role with strong, hands-on SQL foundations you still use regularly
• Proven experience managing a team of individual contributors, with a track record of developing people, giving constructive feedback, and handling typical team situations independently
• Demonstrated ability to own a technical roadmap for a domain area and deliver against it with measurable business impact
• Strong grounding across the modern Analytics Engineering stack including cloud data warehousing, transformation tooling, data modeling, and data quality practices
• Ability to engage credibly on technical decisions and unblock your team
• Comfortable engaging and influencing at senior business and product levels, with experience aligning analytics investment to domain priorities

Nice to Have:

• Experience in a marketplace, e-commerce, grocery, or retail analytics context
• Familiarity with semantic and metrics layer tooling, or Python for data automation and pipeline work
• Exposure to AI for Data, including agentic AI methods, semantic layers, or AI-assisted analytics workflows
• Experience contributing to analytics ways of working including documentation standards, peer review processes, onboarding, and knowledge sharing

How We Work with You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening conversation. If there's a strong match, we'll submit your candidacy to our client and guide you through their interview process. Please do not contact the client directly—all communication will be coordinated through Get A Job.ai to ensure the best candidate experience.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity

Get A Job.ai is committed to inclusive recruiting practices. We welcome candidates from all backgrounds and work to ensure an equitable process for everyone we represent.