Engineering Manager – Data & Analytics Engineering
Role Overview
We’re looking for a customer-focused, AI-forward Engineering Manager – Data & Analytics Engineering to lead and evolve the team responsible for building Depop’s trusted analytical data foundations.
In this role, you’ll help shape the future of data and analytics engineering at Depop, building high-quality, reusable data assets and scalable data pipelines that power analytics, machine learning, and AI-driven decision-making across the company.
You’ll lead a multidisciplinary team of Data Engineers and Analytics Engineers responsible for developing and maintaining core data models, transformation pipelines, semantic layers, and the foundations that enable trustworthy self-service and agentic analytics.
You'll be an experienced engineering leader who is passionate about developing people, building effective teams, and creating an environment where engineers can do their best work.
You’ll bring strong experience in coaching, developing engineers, and evolving engineering practices to help teams grow, collaborate, and deliver consistently.
You’ll also bring an AI-first mindset, actively exploring how AI can transform engineering workflows, improve productivity, and create new opportunities for engineers to innovate and develop their skills.
Working closely with Data Science, Data Platform, Data Governance, and Product leadership, you’ll help establish clear technical direction, strengthen collaboration, and ensure our data and analytics engineering capabilities continue to evolve as Depop scales.
Key Skills for This Role
Full Job Posting
Company Description
Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new.
Founded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it. From everyday essentials to vintage and designer finds, Depop brings together a wide range of affordable styles in one place. It’s a marketplace where anyone can clear out their wardrobe or build a business, explore their style, and take part in a more circular way to shop.
As part of eBay, we're continuing to invest in our platform, our people and our mission to build a more circular future for fashion.
Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. For more information, visit our News Room here. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to [email protected].
AI Disclosure We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision-making. At Depop, every hiring decision is made by a human.
Life is about creating. That's why we're home to over 30 million artists, stylists, designers, sneakerheads — and you? We're the community-powered, circular-minded marketplace changing the world of online fashion. Now it's time to get inspired at Depop.
Responsibilities
Job description
We’re looking for a customer-focused, AI-forward Engineering Manager – Data & Analytics Engineering to lead and evolve the team responsible for building Depop’s trusted analytical data foundations.
In this role, you’ll help shape the future of data and analytics engineering at Depop, building high-quality, reusable data assets and scalable data pipelines that power analytics, machine learning, and AI-driven decision-making across the company.
You’ll lead a multidisciplinary team of Data Engineers and Analytics Engineers responsible for developing and maintaining core data models, transformation pipelines, semantic layers, and the foundations that enable trustworthy self-service and agentic analytics.
You'll be an experienced engineering leader who is passionate about developing people, building effective teams, and creating an environment where engineers can do their best work. You’ll bring strong experience in coaching, developing engineers, and evolving engineering practices to help teams grow, collaborate, and deliver consistently.
You’ll also bring an AI-first mindset, actively exploring how AI can transform engineering workflows, improve productivity, and create new opportunities for engineers to innovate and develop their skills.
Working closely with Data Science, Data Platform, Data Governance, and Product leadership, you’ll help establish clear technical direction, strengthen collaboration, and ensure our data and analytics engineering capabilities continue to evolve as Depop scales.
Responsibilities
- Lead, mentor, and develop a team of Data Engineers and Analytics Engineers, fostering a culture of ownership, accountability, collaboration, and continuous improvement.
- Build a high-performing team through effective coaching, constructive feedback, clear expectations, and meaningful career development.
- Drive strong engineering execution through clear prioritisation, effective planning, and predictable, sustainable delivery.
- Champion an AI-first engineering culture, embedding AI-assisted development, automation, and agentic workflows to improve productivity, quality, and engineering effectiveness.
- Define and drive the technical roadmap for data and analytics engineering, balancing business priorities with long-term scalability, maintainability, and technical excellence.
- Lead the development of trusted, reusable analytical data models, scalable data pipelines, and semantic layers to power analytics, machine learning, and AI-driven decision-making.
- Establish strong engineering practices across data quality, automated testing, CI/CD, documentation, observability, and governance.
- Partner with stakeholders across Data Science, Product, Finance, and Engineering to align priorities, establish ownership, and deliver impactful data solutions.
- Empower engineers to take initiative, drive technical improvements, and continuously evolve how the team works.
Qualifications
- 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
- An AI-forward approach, with practical experience adopting AI-assisted development, automation, or agentic workflows to improve engineering productivity and quality.
- Strong experience driving engineering execution, 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 modern data technologies such as dbt, Databricks, Spark, SQL, and Python.
- Understanding of semantic layers, data governance, and the foundations required for trustworthy AI-powered analytics.
- Strong technical foundation, with experience designing or building data systems and championing engineering best practices.
- Excellent communication, stakeholder management, and interpersonal skills, with the ability to navigate challenging conversations and build trusted relationships.
Bonus Points
- Experience building or enabling AI-powered analytics, conversational BI, or agentic data workflows.
- Experience implementing semantic layers, metrics frameworks, or self-service analytics capabilities.
- Familiarity with AI coding assistants, agent-based development workflows, and evaluation frameworks for AI-generated outputs.
- Experience with large-scale data modelling in Databricks and dbt.
- Experience with data contracts, lineage, and modern data governance practices.
- Experience supporting machine learning or experimentation through trusted analytical data products.
- Experience in marketplaces, fashion, or sustainability-driven technology.
Additional information
Health + Mental Wellbeing 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 for support and signposting Work/Life Balance: 25 days of annual leave with the option to carry over up to 5 days Impact hours: Up to 2 days of additional paid leave per year for volunteering Fully paid 4-week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office-Based, and Remote options role-dependent All offices are dog-friendly Family Life: For birth parent: 20 weeks of paid parental leave for full-time regular employees For non-birth parents: 12 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Twice-yearly development chats and yearly performance reviews Learning budget Upskilling our employees with company-wide training workshops, materials and resources Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of full base salary with Aviva Depop Extras: In-office Depop Shop (that’s free!) and a packing station with free delivery. Special milestones are celebrated with gifts and rewards!
How we work
MyMode is our new hybrid-working model, designed to empower our employees to choose a working mode that works for them.
MyMode is composed of 3 working modes: Flex, Office Based and Remote.
Flex (Default)
Flex is our default working mode, meaning all employees will automatically enrol in this mode and there is no application required to enter this mode. Flex employees will be expected to work from the office at least 4 days per month. Teams will determine whether there are set weekly or monthly in-office days based on their operating rhythms and practices. You will need to work with your manager to determine your in-office schedule for your team.
Office Based
This option is for employees who are committing to work from the office for a minimum of 4 days per week. As part of taking on the Office Based working mode you will be able to apply for a permanent desk in the office if you need one, but you won’t need to apply to become an Office Based employee.
Remote
Under the Remote working mode you are able to work anywhere within the country you are employed in. This mode requires around 2- 4 days per year in the office, depending on organisational guidance. You will be able to expense travel if you are asked to attend the office, but not for office attendance by your choice.
Remote working is not applicable for all roles at Depop, please check with our Talent Team.
How We Care
- Your health
- Enhanced Maternity + Paternity Leave, plus adoption leave, IVF leave, shared parental leave + paid emergency parent/carer leave
- Private Healthcare (UK and US) - choice of a healthcare plan that best suits you
- Subsidised counselling through Selfspace
- Employee Assistance Programme (EAP)
- Mental Health First Aiders across the business
- Life Insurance
- Pension
- Your balance
- Impact hours to be used for volunteering, demonstrations or internal initiatives
- Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love
- All offices are dog-friendly
- Flexible work modes: in Office, Hybrid, Remote
- Your growth
- Individual learning budgets to support conferences, courses, learning subscriptions, and other development opportunities
- Twice-yearly development conversations, alongside an annual performance review to support your growth and progression
- Ongoing upskilling through company-wide training workshops, curated materials, and accessible learning resources
- Employee Resource Groups (ERGs) that create space to connect, share experiences, and build community across the company
Location
20 Farringdon Rd
EC1M 3HE
Application Process
- Stage 1: Talent Partner Call This initial stage is a general conversation about your background, skills and what you’re looking for in your next role. You’ll gain further insight into life at Depop and the opportunity at hand.
- Stage 2: Hiring Manager Call The Hiring Manager is most likely the person you’d report into at Depop, so they’ll be delving deeper into your experience. This is another opportunity to learn more about the team’s mission and goals.
- Stage 3: 1st Stage Interview This interview is centred around assessing your role-specific skills, usually in the form of a paired-programming sesion, whiteboard session or presentation (depending on the role). You’ll meet with peers at Depop who can guide you through your day-to-day responsibilities in the role and answer any of your more technical questions.
- Stage 4: Final Interview Our final interviews are usually made up of an executive interview with a senior stakeholder. In this session, we'll dive even deeper into your working styles and the type of culture you thrive in, as well as provide you with more information around our mission as a company and how your role would contribute to this. Please note that the order of this process may be subject to change, based upon certain requirements or circumstances. If this is the case, you will be notified at the beginning of your process.
Our DNA encompasses the central reasons that people are proud to work at Depop and unites us with a shared language and sense of community.
It guides our daily interactions and empowers individuals, teams, departments and our company as a whole to have a greater impact and achieve our mission.
Show up for the community
We go above and beyond. When they succeed, we succeed.
We’re changing how millions of people buy, sell and explore their style, so we do everything we can to create a safe space in a community where you can learn, grow and succeed on your own terms.
Have each other's backs
We empower each other with kindness and respect our differences.
Everyone at Depop is seen, heard, valued and encouraged. Our genius is born from our diversity of thought, so we celebrate our wins together and hold each other up when things get tough.
Act with purpose
We take conscious risks, deliver efficiently and learn from our mistakes.
Our mission is to be the world’s most diverse and progressive home of fashion. We have the conviction to succeed, the patience to learn and the confidence to fail and try again - being open all the way.
Think thrift
We’re resourceful, seek out opportunities and we hustle.
We’re powering a future that is more thoughtful, circular and better for people and planet. To do it, we stay curious, savvy, resourceful and empowered to get the job done – effectively and responsibly.
At the heart of our mission...
INCLUSION
We aim to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to [email protected].
COMMUNITY
We know culture is felt, rather than told. But at Depop, you'll find a place where everyone can bring their own style to everything they do. We keep it circular as we recognise our impact on our community of sellers, our users, on the planet and on the future of fashion.
SUSTAINABILITY
Together, we’re shaping a new circular fashion system. One that’s kinder to people and to the planet. It’s simple. But it’s massive, too. It helps the environment, builds new connections and creates new ways to experience clothing.
About Depop
Depop is a private peer-to-peer circular fashion marketplace helping buyers and sellers trade secondhand clothing.
Visit company websiteJobs and hiring trendsApply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Depop
Backend Engineers (Mid & Senior) - Product Engineering
London, GBR
Lead Technical Programme Manager
London, GBR
Senior Product Manager, Backend Enablement
London, GBR
Senior Knowledge and Content Specialist
London, GBR
Engineering Manager - Trust Detection
London, GBR
Senior Data Platform Engineer - Data Infrastructure
, GBR
Platform Engineer
, GBR
