Engineering Manager – Data & Analytics Engineering (AI)

Location: London, UK; partially remote with a hybrid-working model

Company

hirify.global is a peer-to-peer circular fashion marketplace for buying, selling, and discovering secondhand fashion, with more than 56 million registered users and over 500 employees. The company is headquartered in London, has offices in New York, and operates as a standalone subsidiary of Etsy.

What you will do

• Lead, mentor, and develop Data Engineers and Analytics Engineers through coaching, feedback, clear expectations, and career development.
• Drive prioritisation, planning, predictable delivery, ownership, accountability, and continuous improvement.
• Champion AI-assisted development, automation, and agentic workflows to improve engineering productivity and quality.
• Define the technical roadmap for data and analytics engineering while balancing business priorities, scalability, maintainability, and technical excellence.
• Lead trusted analytical data models, scalable data pipelines, semantic layers, and foundations for analytics, machine learning, and AI-driven decision-making.
• Partner with Data Science, Product, Finance, Engineering, and Data Governance stakeholders on priorities, ownership, and impactful data solutions.

Requirements

• Proven experience managing data engineering, analytics engineering, or multidisciplinary data teams, ideally in consumer technology or marketplace environments.
• Strong record of developing high-performing engineering teams through coaching, constructive feedback, clear expectations, and continuous improvement.
• Practical experience adopting AI-assisted development, automation, or agentic workflows to improve engineering productivity and quality.
• Experience translating technical strategy into clear priorities, realistic plans, and measurable outcomes.
• Deep understanding of modern data architectures, including lakehouses, data warehousing, ETL/ELT pipelines, orchestration, and dimensional data modelling.
• Hands-on experience with dbt, Databricks, Spark, SQL, and Python.
• Understanding of semantic layers, data governance, and foundations for trustworthy AI-powered analytics.
• Experience designing or building data systems and championing engineering best practices, including data quality, automated testing, CI/CD, documentation, and observability.
• Excellent communication, stakeholder management, and interpersonal skills, including the ability to navigate challenging conversations and build trusted relationships.

Nice to have

• Experience with AI-powered analytics, conversational BI, agentic data workflows, AI coding assistants, agent-based development workflows, or evaluation frameworks for AI-generated outputs.
• Experience implementing semantic layers, metrics frameworks, self-service analytics, data contracts, lineage, or modern data governance practices.
• Experience with large-scale data modelling in Databricks and dbt, or supporting machine learning and experimentation through trusted analytical data products.
• Experience in marketplaces, fashion, or sustainability-driven technology.

Culture & Benefits

• Hybrid working through the MyMode model, with Flex, Office-Based, and Remote options depending on the role.
• Private healthcare and cash plan access with Bupa, counselling and coaching, an Employee Assistance Programme, and mental health support.
• 25 days of annual leave, up to 2 additional paid volunteering days, and a fully paid 4-week sabbatical after 5 years of consecutive service.
• Paid parental leave, IVF leave, shared parental leave, and paid emergency parent/carer leave for eligible full-time regular employees.
• Learning budgets, development chats, performance reviews, and company-wide training workshops.
• Life insurance worth 3x base salary, pension matching up to 6%, a dog-friendly office, and employee shopping and delivery benefits.

Hiring process

• Reasonable application adjustments are available by contacting adjustments@hirify.global.com with the applicant’s name, role, and required support.