Engineering Manager

Depop
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineering Manager

Scrum Master

Data Architect

Group Procurement Manager

Group Supply Chain manager

Site Manager - Dunbar

Engineering Manager

Team:Engineering & Data

Location:London

Company Description

Depop is the community-powered fashion marketplace to buy and sell circular fashion, with over 30 million registered users in more than 150 countries. Depop is a place for anyone to discover and celebrate their style on their own terms, and to feel good about their fashion choices by extending the lives of millions of garments.

The company was founded in 2011 and is headquartered in London with offices in Manchester and New York. Depop has approximately 400 employees dedicated to its mission of building the world’s most diverse progressive home of fashion, that’s kinder on the planet and kinder to people. 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.

Depop is an equal opportunity employer. Our mission is to build the world’s most diverse progressive home of fashion. To do this, we encourage people from underrepresented communities to apply. We celebrate diversity and are committed to creating an inclusive environment for all employees. We’re continuing to build recruitment processes that are fair and welcome requests for reasonable adjustments required throughout your interview experience with us. Depop supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.

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 an Engineering Manager to join our Core API team. You'll be responsible for leading an experienced team at the very centre of the Depop platform, serving out the entities at the core of our user experience, such as images and products. The team are custodians of services written in Scala and Python, and being comfortable navigating different and complex domains is a must. You'll be central to building out the team's backlog by identifying new opportunities for investment, improvement, or simplification, and help the team to thrive by creating growth opportunities for them. You'll be trusted to lead the team through technical decision making, balancing the concerns of the business with the requirements of our underlying platform.

You'll be working with business partners and stakeholders from across the business, from our Technical Programme Managers to our Engineering Leadership Team. You'll work with our Production engineering teams to help them deliver value quicker through improvements to the developer experience of interacting with our core services. You'll work with our Data engineering teams to ensure that our data scientists have accurate and timely data to model to drive insights and recommendations. You'll work closely with our Infrastructure engineer teams to make sure our systems and services are up to date, available, performant, and secure, and continue to meet the needs of our growing business. Building a strong network of connections across the business will be key!

Responsibilities:

As an Engineering Manager within this team, you can expect to:

Lead and manage a cross-functional team of 3 engineers - your main responsibility will be making sure the people in the team are happy and set up for success, you are encouraged to stay hands-on, but this should not be the primary focus.

Be accountable for the performance of the team as a unit and the career growth of the engineers within the team. Have regular 1:1s and provide continuous feedback to the team members.

Work closely with diverse functions within the team across product, design, analytics and QA to ensure that your team is clear on goals and delivering value for our users.

Ensure that new engineers onboard successfully and have the greatest opportunity to excel at Depop and their careers.

Advocate for your team and engineering to raise awareness on team health, ensure inclusion, and drive positive change.

Establish and maintain an inclusive, respectful, and diverse culture to ensure that all voices are heard.

Collaborate with teams across the pillar and the organisation to ensure cohesion across projects and roadmaps.

Facilitate continuous learning and improvement for your team.

Qualifications

You are an Engineering manager in search of a new exciting opportunity, or you have the aspiration, enthusiasm, and empathy to begin your people management journey.

Can facilitate technical decision-making across multiple technical landscapes, having a passion for the technical aspects of your work, but can let engineers drive the details.

Experience building high-traffic systems servicing 10,000s of concurrent users

Strong knowledge of systems design, within a modern cloud-based environment (AWS, GCP), as well as either Python, Java or Scala

Can explore and assess needs from a high-level perspective and make decisions based on the data available in the face of ambiguous or changing priorities and goals.

Can collaborate with cross-disciplinary stakeholders with varying goals to achieve great results that satisfy all requirements.

Know how to drive positive interactions throughout your team and drive positive change.

Passion for building a platform that is user-obsessed.

You align with our “Depop DNA” - showing up for the community, having each others backs, acting with purpose while having sustainability and cost in mind through thinking thrift.

Bonus points if:

You come from an e-commerce background.

You have previously worked in an App first business.

Worked with infrastructure as code and deployment pipelines, preferably with terraform.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.