OLX

Data Engineer (Domain Data)

Portugal full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

WELCOME TO OLX

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 AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.
Join OLX 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 Cloud), such as Redshift, Spark, Trino, Iceberg, Airflow

Knowledge and curiosity about other big data technologies and tools

Experience with analytics teams and translating business terms and KPI to technical requirements

Experience with defining and measuring data quality such as Monte Carlo or Great Expectations

Familiarity with Claude Code and/or Cursor, skills and AI agents

Excellent written and verbal proficiency in English

What we offer:

Permanent contract

Competitive salary + annual bonus up to 15% of your annual gross salary

Work with and impact all OLX websites

Free access to Udemy courses

Health insurance and life insurance

100% remote work in Portugal (and the possibility of working from our offices in Lisbon and Porto)

Our hiring process:

Recruiter Interview

Hiring Manager Interview

Technical Interview

Diversity, Equity and Inclusion at OLX

OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!

OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis MySQL Python Remote Collaboration SQL Mid level

Likely questions

  1. Tell us about work you have done that is close to the Data Engineer (Domain Data) role.
  2. How would you approach your first 30 days at OLX?
  3. Which of Data Analysis, MySQL and Python have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, MySQL and Python.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Engineer (Domain Data) role because I can bring practical experience in Data Analysis, MySQL and Python, learn the team quickly, and contribute to the outcomes OLX needs from this hire.

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