Senior Data Platform Engineer
Senior Data Platform Engineer

Senior Data Platform Engineer

Full-Time 48000 - 84000 ÂŁ / year (est.) No home office possible
Depop

At a Glance

  • Tasks: Architect and scale our data platform, enabling teams to manage data efficiently.
  • Company: Depop is a vibrant marketplace where creativity meets technology.
  • Benefits: Enjoy flexible working, health perks, and generous leave policies including a paid sabbatical.
  • Why this job: Join a cutting-edge team shaping data practices and empowering innovation.
  • Qualifications: Advanced programming skills and experience with data platforms and cloud technologies required.
  • Other info: Dog-friendly offices and opportunities for personal development and mentorship.

The predicted salary is between 48000 - 84000 ÂŁ per year.

Data is at the heart of what we do.

Depop is looking for a Senior Data Platform 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, as well as our Insights, Analytics Engineers, Data Scientists, MLOps, MarTech 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 Terraform, Docker, and cloud‑native patterns
  • Lead Technological 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 attitude.
  • Uphold operational excellence: Automating infrastructure and monitoring, leading incident response and root cause analysis, and continuously improving the health and performance of our data platform. Champion scalable standard processes 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

  • Advanced knowledge in a high‑level programming language (e.g. Python, Scala) with proven 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 (AWS, GCP) including AWS primitives such as IAM, S3, RDS, EMR, ECS and more
  • Advanced experience working and understanding the tradeoffs of at least one of the following Data Lake table/file formats: Delta Lake, Parquet, Iceberg, Hudi
  • Previous hands‑on expertise with Spark
  • Experience working with containerisation technologies – Docker, Kubernetes
  • Streaming Knowledge: Experience with Kafka/Flink or other streaming ecosystems, with a solid understanding of their components
  • DevOps experience building CI/CD pipelines (Jenkins), IaC (Terraform)
  • Direct experience contributing to projects involving lakehouse / medallion architectures in Databricks

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 annual leave with option to carry over up to 5 days 1 company‑wide day off per quarter Impact hours: Up to 2 days 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 dependant All offices are dog‑friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full‑time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!

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Senior Data Platform Engineer employer: Depop

Depop is an exceptional employer that prioritises employee growth and well-being, offering a vibrant work culture where innovation thrives. With a commitment to flexible working arrangements, generous leave policies, and a focus on continuous learning, employees are empowered to excel in their roles while enjoying a healthy work-life balance. The opportunity to collaborate with diverse teams and contribute to cutting-edge data solutions makes Depop a rewarding place for those seeking meaningful employment in the tech industry.
Depop

Contact Detail:

Depop Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Platform Engineer

✨Tip Number 1

Familiarise yourself with the specific tools mentioned in the job description, such as Databricks, Airflow, and dbt. Having hands-on experience or projects showcasing your skills with these technologies can set you apart during discussions.

✨Tip Number 2

Network with current or former employees of Depop, especially those in data engineering roles. They can provide insights into the company culture and expectations, which can be invaluable during interviews.

✨Tip Number 3

Prepare to discuss your experience with cloud platforms like AWS, GCP, or Azure. Be ready to share specific examples of how you've built scalable data solutions in the past, as this is a key requirement for the role.

✨Tip Number 4

Showcase your passion for continuous learning and improvement. Mention any recent courses, certifications, or personal projects that demonstrate your commitment to staying updated with the latest data technologies and best practices.

We think you need these skills to ace Senior Data Platform Engineer

Advanced knowledge in Python or Scala
Software engineering best practices
Data compliance and privacy solutions
Data governance and observability stack
Experience with Airflow, dbt, Kafka, and Databricks
Cloud platform proficiency (AWS, GCP, Azure)
Big data technologies expertise
Designing and scaling data platforms
Strong understanding of data lineage and quality monitoring
Containerisation technologies (Docker, Kubernetes)
CI/CD pipeline building (Jenkins)
Infrastructure as Code (Terraform)
Streaming technologies knowledge (Kafka/Flink)
Mentoring and knowledge sharing
Stakeholder collaboration skills
Automation-first mindset

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Platform Engineer role. Focus on your expertise in programming languages like Python or Scala, and your experience with data platforms and cloud technologies.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's mission. Mention specific projects or experiences that demonstrate your ability to lead technological initiatives and collaborate with diverse teams.

Showcase Technical Skills: In your application, emphasise your hands-on experience with tools such as Airflow, Databricks, and cloud platforms like AWS or GCP. Provide examples of how you've implemented data governance and observability solutions in previous roles.

Highlight Soft Skills: Don't forget to mention your soft skills, such as mentoring, collaboration, and communication. These are crucial for working closely with both technical and non-technical stakeholders, which is a key aspect of the role.

How to prepare for a job interview at Depop

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with high-level programming languages like Python or Scala. Highlight specific projects where you've implemented software engineering best practices, such as testing and clean coding standards.

✨Demonstrate Your Understanding of Data Governance

Since the role involves data compliance and privacy solutions, be ready to explain how you've previously introduced data governance and observability stacks. Discuss your familiarity with data lineage, data contracts, and monitoring capabilities.

✨Emphasise Collaboration Skills

This position requires working closely with both technical and non-technical stakeholders. Prepare examples of how you've successfully collaborated with diverse teams to define and implement data solutions.

✨Express Your Passion for Continuous Learning

Depop values growth and development, so share your enthusiasm for learning new technologies and keeping up with industry trends. Mention any relevant courses, conferences, or personal projects that demonstrate your commitment to professional development.

Senior Data Platform Engineer
Depop

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