At a Glance
- Tasks: Architect and scale our data platform, empowering teams with self-serve capabilities.
- Company: Join Depop, a vibrant peer-to-peer fashion marketplace revolutionising secondhand shopping.
- Benefits: Enjoy flexible working, competitive salary, health benefits, and personal development opportunities.
- Other info: Be part of a diverse team that values inclusivity and continuous learning.
- Why this job: Make a real impact in a fast-growing company while working with cutting-edge data technologies.
- Qualifications: Experience in data platforms, programming, and a passion for innovative solutions.
The predicted salary is between 63000 - 77000 £ per year.
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 adjustments@depop. com.
Data is at the heart of what we do.
Depop is looking for a Senior Data Platform (Enablement) Engineer to help architect, build, and scale our data platform, empowering teams with self‑serve capabilities.
You’ll combine hands‑on technical expertise with strategic thinking to shape the foundation that supports our products and customers, enabling teams own, process, query, and manage their data with efficiency and ease.
You will work closely with people from a wide variety of domains: Product Data Scientists, Analytics Engineers, ML Engineers, MLOps, Mar Tech and other Data Engineering teams.
You will help manage our growing data needs and support increasingly complex business problems by building and promoting self‑service tools and data best practices that will be used across the organisation, including taking ownership of our data transformation and orchestration tooling; batch and streaming infrastructure and exploration tools (Databricks, Airflow, dbt) and look after our Datalake (ingestion, storage, governance, privacy).
You’ll work with a modern, cutting‑edge data stack and play a key role in shaping data‑as‑a‑product practices.
As we scale to meet Depop’s bold growth ambitions, you’ll help introduce the next generation of data capabilities.
Want to find out more about Depop & our engineering team? We write about technology, people and smart engineering right here - https://engineering. depop. com/
- What You’ll Do
- Pave a path for data as product: Champion data as a first‑class citizen by introducing robust data observability and governance tooling into the platform
- Software engineering: Develop microservices, libraries, data pipelines
- Technical design: implement and evolve platform services that enable teams to work with data efficiently and securely, using modern tooling such as Kafka, Terraform, Docker, and cloud‑native patterns
- Lead technical initiatives: Lead initiatives working with end users: data scientists, ML engineers, analytics engineers, product engineers and beyond to enable, support and accelerate their data needs, embracing a platform as product mindset
- Uphold operational excellence: building scalable services, leading incident response and root cause analysis, and continuously improving the health and performance of our data platform.
- Champion scalable best practices through automation, clear documentation, and knowledge sharing via tutorials and training sessions
- Stakeholder collaboration: Work closely with both technical and non‑technical stakeholders to define, design, and implement solutions within our Data Platform.
- Trusted relationship will be key for success
- Invest in others’ growth: Mentoring and sharing knowledge, helping elevate technical standards and fostering a culture of continuous improvement
- Build on engineering culture: You take an active role in improving the engineering culture at Depop and encourage others around you to follow these values
- What You’ll Bring
- Streaming knowledge: Experience with Kafka/Flink/Confluent or other streaming ecosystems, with a solid understanding of their components
- Advanced knowledge in a high‑level programming language (e. g.
Python, Scala) with solid foundation in software engineering best practices - testing, clean coding standards, code reviews, pair programming, automation‑first mindset
- Experience delivering data compliance & privacy solutions, ensuring that we uphold data subject rights for our customers
- Experience introducing a data governance & observability stack enabling rich data lineage, data contracts, SLA/SLO, tagging and data quality monitoring capabilities both on our own platform but also for data owners
- Proven experience designing, building, and scaling data platforms and backend infrastructure in production environments - have worked to enable advanced data users: ML Engineers, analysts, analytics engineers and have a strong grasp of their needs and how they operate
- Big data technologies, with expertise in tools & platforms such as Airflow, dbt, Kafka, Databricks and data observability & catalogue) solutions (e. g.
- Monte Carlo, Atlan, Datahub)
- Cloud Platform proficiency: familiarity with AWS, GCP, or Microsoft Azure, with hands‑on experience building scalable, reliable data solutions on cloud platforms
- A passion for learning new things and keeping on top of the latest developments and technologies in our field.
We take pride in our learning and make sure to have dedicated time set aside for our growth and development (we offer personal development time and other platforms to share knowledge with your peers)
- Nice To Have
- Knowledge of systems design within a modern cloud‑based environment
- Advanced experience working and understanding the tradeoffs of at least one of the following Data Lake table/file formats: Delta Lake, Parquet, Iceberg, Hudi
- Experience working with lakehouse / medallion architectures in Databricks
- Experience with experimentation support tooling (such as Optimizely)
- A genuine curiosity about AI and a willingness to explore how it can enhance your day‑to‑day work
- 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: My Mode 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!
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 Want to learn more about life at Depop?
We share life at Depop updates on our Linked In page, and you can also keep an eye on all our job opportunities on our careers page.
#J-18808-Ljbffr
Senior Data Platform Engineer - Data Enablement 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.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer - Data Enablement
✨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 Senior Data Platform Engineer - Data Enablement 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 Senior Data Platform Engineer - Data Enablement 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 Senior Data Platform Engineer - Data Enablement
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.