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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading and mentoring data engineering teams while driving engineering execution and adopting AI-assisted development practices. Proficient in modern data architectures and ensuring data quality through established governance and best practices.
Highest-signal resume keywords
Data Engineering ManagementAI-Assisted DevelopmentModern Data ArchitecturesTeam Leadership and CoachingData Quality and Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringAnalytics EngineeringETL/ELT PipelinesDimensional Data ModellingSQLPythonDbtDatabricksSparkData Governance
Soft Skills
CommunicationStakeholder ManagementInterpersonal SkillsCoachingFeedback
Tools & Technologies
AI Coding AssistantsAgent-Based Development WorkflowsCI/CDObservabilityAutomated Testing
Industry Keywords
Consumer TechnologyMarketplaceSustainability-Driven TechnologyFashionAI-Powered Analytics
Tech Stack
Tools & technologiesETLPythonSparkSQL
About the role
Key responsibilities & impact- Lead, mentor, and develop a team of Data Engineers and Analytics Engineers
- Build a high-performing team through coaching, feedback, clear expectations, and career development
- Drive engineering execution through prioritisation, planning, and sustainable delivery
- Champion AI-assisted development, automation, and agentic workflows
- Define and drive the technical roadmap for data and analytics engineering
- Lead development of reusable analytical data models, scalable pipelines, and semantic layers
- Establish practices for data quality, automated testing, CI/CD, documentation, observability, and governance
- Partner with Data Science, Product, Finance, and Engineering stakeholders
- Empower engineers to take initiative and continuously improve team practices
Requirements
What you’ll need- Proven experience managing data engineering, analytics engineering, or multidisciplinary data teams, ideally in a consumer technology or marketplace environment
- Strong track record of developing high-performing engineering teams through effective coaching, constructive feedback, clear expectations, and continuous improvement
- Practical experience adopting AI-assisted development, automation, or agentic workflows to improve engineering productivity and quality
- Strong experience driving engineering execution and 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
- Excellent communication, stakeholder management, and interpersonal skills
- Bonus: experience with AI-powered analytics, conversational BI, or agentic data workflows
- Bonus: experience implementing semantic layers, metrics frameworks, or self-service analytics
- Bonus: familiarity with AI coding assistants, agent-based development workflows, and evaluation frameworks
- Bonus: experience with large-scale data modelling in Databricks and dbt
- Bonus: experience with data contracts, lineage, and modern data governance
- Bonus: experience supporting machine learning or experimentation through trusted analytical data products
- Bonus: experience in marketplaces, fashion, or sustainability-driven technology
Benefits
Comp & perks- PMI and cash plan healthcare access with Bupa
- Subsidised counselling and coaching with Self Space
- Cycle to Work scheme with options from Evans or the Green Commute Initiative
- Employee Assistance Programme (EAP) for 24/7 confidential support
- Mental Health First Aiders across the business
- 25 days of annual leave with the option to carry over up to 5 days
- Up to 2 days of additional paid leave per year for volunteering
- Fully paid 4-week sabbatical after 5 years of consecutive service with Depop
- Flexible Working: MyMode hybrid-working model with Flex, Office-Based, and Remote options (role-dependent)
- Dog-friendly offices
- 20 weeks of paid parental leave for birth parents
- 12 weeks of paid parental leave for non-birth parents
- IVF leave, shared parental leave, and paid emergency parent/carer leave
- Twice-yearly development chats and yearly performance reviews
- Learning budget
- Company-wide training workshops, materials and resources
- Life Insurance (financial compensation of 3x your salary)
- Pension matching up to 6% of full base salary with Aviva
- In-office Depop Shop and packing station with free delivery
- Gifts and rewards for special milestones