Data Platform Engineer in London

Data Platform Engineer in London

London Full-Time Hybrid
D

At a Glance

  • Tasks: Build and maintain data services using cutting-edge streaming technologies like Kafka.
  • Company: Join Depop, a vibrant peer-to-peer fashion marketplace with a mission for circular fashion.
  • Benefits: Enjoy flexible working, generous leave, and a supportive health and wellbeing programme.
  • Other info: Be part of a diverse team that values different perspectives and experiences.
  • Why this job: Make a real impact on how data drives fashion sustainability and innovation.
  • Qualifications: Experience with data pipelines and a passion for collaborative problem-solving.

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 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

Role

We're hiring a Data Engineer to work on the Data Platform at Depop. This team owns Kafka and streaming infrastructure, the bronze data lake layer, and event tracking and sessionisation and is building out the next generation of streaming frameworks that will underpin how the rest of the business ingests and processes data. This role sits within the Data Enablement and you'll partner closely with Data Infrastructure and Analytics Engineering on the boundary between Bronze and Silver, and with ML and Insights, who depend on low-latency streaming data for features and experimentation.

Responsibilities

  • Build and maintain services in our Kafka Connect and streaming pipeline, including the kafka-forwarder and changelogs-processor, under the guidance of senior engineers.
  • Contribute to extending the bronze streaming layer across Depop's growing table catalogue, working from well-scoped tickets through to production rollout.
  • Help implement data contracts and freshness checks on streaming datasets, and build the quarantine/alerting that keeps bad data out of downstream consumers.
  • Take part in the team's support rota, helping other teams onboard new events and troubleshoot streaming issues.
  • Write clear documentation and contribute to design discussions, growing your judgement on trade-offs like latency vs completeness and cost vs freshness.
  • Pair with senior engineers on more complex pieces of the streaming framework work, building towards owning larger pieces of it yourself.

Requirements

  • Some experience building and operating production data pipelines, ideally including Kafka or another streaming/event-driven system.
  • Working knowledge of at least one of Scala, Kotlin or Python, and willingness to work across all three as the team requires.
  • Familiarity with data warehousing concepts (e.g. medallion architecture bronze/silver/gold) and an interest in data quality and freshness monitoring.
  • Comfortable working with Kafka Connect, schema registries, and distributed systems concepts, or keen to build that experience quickly.
  • A collaborative approach — this team works closely with Data Infrastructure, ML and Insights, and pairs regularly with senior engineers.

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!

Life at Depop

Want to learn more about life at Depop? We share life at Depop updates on our LinkedIn page, and you can also keep an eye on all our job opportunities on our careers page.

#J-18808-Ljbffr

Data Platform Engineer in London employer: Depop Limited - Nova

Depop is an exceptional employer, offering a vibrant and inclusive work culture that reflects the diversity of our community. With a strong focus on employee growth, we provide ample opportunities for learning and development, including a generous learning budget and regular performance reviews. Located in London, our dog-friendly office promotes a healthy work-life balance with flexible working options, comprehensive health benefits, and unique perks like a fully paid sabbatical after five years of service.

D

Contact Details:

Depop Limited - Nova Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Platform Engineer in London

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Depop Limited - Nova!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Platform Engineer at Depop Limited - Nova.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Depop Limited - Nova.

✨Apply Directly through Our Website

When you find a suitable opening like Data Platform Engineer at Depop Limited - Nova, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Platform Engineer in London

Kafka
Streaming Data Processing
Data Pipeline Development
Scala
Kotlin
Python
Data Warehousing Concepts

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Depop Limited - Nova, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Depop Limited - Nova. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Depop Limited - Nova

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Depop Limited - Nova!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.