Engineering Group Manager - Data

Swapecommerce

London Remote permanent

Posted: January 13, 2026

Job Description

Location: London (Hybrid)

About Swap

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.

About the role

We are looking for an experienced Data Group Leader to drive our data vision and lead three cross-functional teams: Data Science, Data Engineering/Warehouse, and Merchant Analytics & AI Agents. This role will be responsible for shaping the company's data architecture, ensuring scalable and reliable data pipelines, and enabling AI-driven insights across all products.

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.

Benefits

• Competitive base salary.

• Stock options in a high-growth startup.

• Competitive PTO with public holidays additional.

• Private Health.

• Pension.

• Wellness benefits.

• Breakfast Mondays.

Diversity & Equal Opportunities

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.

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