Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted yesterday

Engineering Manager – Data & Analytics Engineering

Etsy93 open roles

Where
London, UK
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowEngineering Manager – Data & Analytics EngineeringEtsy · London, UK

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Etsy's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. Etsy postings stay open a median of 26 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted yesterday

Etsy median: 26 days open

The 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.

Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit www.depop.com

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.

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.

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].

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!
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Etsy's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Etsy's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Etsy's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.