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Data Engineer; Domain Data)

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: United States Digital Space LLC
Full Time position
Listed on 2026-09-30
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 70000 - 104000 USD Yearly USD 70000.00 104000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer (Domain Data)

WELCOME TO the company

We're building marketplace sustainable ecosystems that millions of people depend on every month - to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.

We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win - and you get a culture that's ambitious, fast-moving, and built on trust.

Our brands – including Auto Trader, the company, Otomoto Property
24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.

Join the company and see how far you can go.

JOIN OUR DATA ENGINEERING TEAM!

Become a part of a team of data specialists who take care of massive amounts of data and groundbreaking technologies. Your work will be driving and empowering efficient and successful decentralised domain data ownership and data consumption, for example, around car pricing intelligence or deliveries. When needed, you can participate in the evolution and optimisation of our data stack, helping domains to ingest, process, and consume data across the company.

You will also play an active role in driving our agentic evolution roadmap.

While being part of a central team of data engineers across Lisbon, Berlin, Barcelona and Poznan, you will be embedded in cross-functional packs on a rotational basis. You will work closely with product managers, software engineers, product analysts, data scientists, and regional business partners to identify and design new data projects and guide them through successful delivery and validation from end to end.

What

you will be doing:
  • Enable efficient consumption of domain data as a product by delivering and promoting strategically designed actionable datasets and data models
  • Build, maintain, and improve rock-solid data pipelines using a broad range of technologies
  • Support teams without data engineers in building decentralised data solutions and product integrations.
  • Build data pipelines in our Lakehouse using Medallion architecture.
  • Act as a data ambassador, promoting the value of data and our data platform among engineering teams and enabling cooperation
  • Cooperate with product teams to look for opportunities to integrate data into our end products and streamline source data so that data is cleaner earlier in the process
  • Follow and promote data mesh principles around decentralised data ownership and 'data as a product'
  • Promote and uphold privacy-by-design principles, ensuring sensitive data is managed in strict compliance with established security and privacy standards
  • Increase data literacy of the engineering organisation by hosting training and mentoring other engineers (both less experienced data engineers and software engineers)
  • Help advance agentic systems tailored for data engineering through the creation of specialized skills and agents.
Who we are looking for:
  • +2 years of experience building complex data pipelines and working with both technical and business stakeholders
  • Ability to think creatively; highly driven and self-motivated
  • Master of SQL language regardless of the underlying data technology. Writes efficient, easy-to-read, and crisp SQL code
  • Familiarity with Medallion architecture
  • Experience with designing for scale and data growth in terms of storage and performance
  • Business and product understanding (why over what) and the ability to deal with ambiguity
  • Consistent track record of successful data projects delivered and manage its lifecycle
  • Potential to build rock-solid Python applications - writes understandable and maintainable code
  • Experience with cloud data technologies (AWS, GCP, or Azure…
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