Engineering Group Manager - Data

Location: London (Hybrid)

Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience.

Built for brands that want to sell anything - anywhere, Swap centralises global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence.

At Swap, we’re building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works.

Responsibilities:

• Lead and mentor 3 teams: Data Science, Data Engineering/Warehouse, and Merchant Analytics/AI Agents.
• Define the long-term data strategy and ensure alignment with company goals.
• Oversee the development of data pipelines, warehouses, and analytics infrastructure.
• Drive innovation in AI and ML applications, including merchant-facing analytics and agentic AI products.
• Partner with Product and Engineering leadership to deliver data solutions that power business intelligence and automation.
• Ensure high data quality, governance, and compliance across all systems.

Requirements:

• 8+ years of experience in data engineering, analytics, or data science, including team leadership.
• Strong background in modern data stack (e.g., BigQuery, Snowflake, DBT, Airflow, etc.).
• Proven experience building and scaling data teams and architectures.
• Understanding of machine learning, applied AI, and real-time analytics.
• Excellent communication and leadership skills with the ability to influence across functions.

• Competitive base salary.
• Stock options in a high-growth startup.
• Competitive PTO with public holidays additional.
• Private Health.
• Pension.
• Wellness benefits.
• Breakfast Mondays.

We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.