Data Engineer - Domain Data (MarTech)

Reposted 17 Days Ago
Be an Early Applicant
Hiring Remotely in Portugal
Remote
Junior
Marketing Tech • Software
The Role
Build and maintain scalable domain-focused data pipelines and datasets in a Lakehouse using Medallion architecture. Enable decentralized data-as-a-product, collaborate with product and engineering teams, promote data mesh and privacy-by-design, improve data quality, mentor engineers, and advance agentic systems and AI agents for data engineering.
Summary Generated by Built In
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 OLX DATA ENGINEERING TEAM
 
Become a part of an agile team of data specialists taking care of massive amounts of data and groundbreaking technologies. As a domain data engineer in Marketing Technology, you will be responsible for delivering data via key pipelines that can support the Marketing teams in making decisions on targeting, sizing, budgets and be a key person who will deliver the insights of the marketing campaigns
 
While being part of a central team of Data Engineers across Lisbon, Berlin, and Poznan, you will be embedded in the cross-functional MarTech team. You will work closely with product managers, software engineers, product analysts, data scientists, and marketing stakeholders to own and deliver accurate, timely, and insightful data to the marketing team.
 

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 like AWS Redshift, Trino (formerly PrestoSQL), Python, Spark, Airflow, and Kinesis streaming
  • Support teams without data engineers with building decentralized data solutions and product integrations, for example around DynamoDB.
  • Follow and promote Data Mesh principles around decentralized data ownership and ‘data as a product’
  • Act as a data ambassador promoting the value of data and our data platform among engineering teams and enabling cooperation
  • Continuously look for opportunities to integrate data into our end products
  • Cooperate with product teams to streamline source data so that data is cleaner earlier in the process
  • Enforce privacy and security standards (privacy by design)
  • Increase data literacy of the engineering organization by hosting trainings and mentoring other engineers (both less experienced data engineers and software engineers)

Who we are looking for:

  • +2 years of experience building complex data pipelines and working with both technical and business stakeholders.
  • Entrepreneurial spirit and ability to think creatively; highly driven and self-motivated
  • Good SQL language regardless of the underlying data technology. Writes efficient, easy-to-read, and crisp SQL code.
  • Relevant experience with designing for scale and data growth in terms of storage and performance
  • Potential to build rock-solid Python applications - writes understandable and maintainable code
  • Relevant experience with cloud data technologies (AWS, GCP, or Azure Cloud), such as Redshift, Athena, Spark)
  • Familiarity with Kubernetes and Docker deployment. Terraform is good plus.
  • Knowledge and curiosity about other big data technologies and tools
  • Relevant experience working with Marketing, advertising teams is a plus
  • Experience with data consulting and managing stakeholders is also a plus
  • Relevant experience with analytics and defining metrics
  • Relevant experience with measuring data quality
  • Familiarity with Claude Code and/or Cursor, skills and AI agents
  • Good communication skills
  • Excellent written and verbal proficiency in English
  • You should be based in Portugal

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.

Skills Required

  • +2 years building complex data pipelines and working with technical and business stakeholders
  • Mastery of SQL and ability to write efficient, maintainable queries
  • Familiarity with Medallion architecture and Lakehouse patterns
  • Experience designing for scale and data growth (storage and performance)
  • Experience with cloud data technologies (AWS, GCP, or Azure) and tools such as Redshift, Spark, Trino, Iceberg, Airflow
  • Experience translating business terms and KPIs into technical requirements with analytics teams
  • Experience defining and measuring data quality (e.g., Monte Carlo, Great Expectations)
  • Potential to build maintainable Python applications
  • Business and product understanding, ability to handle ambiguity
  • Consistent track record delivering data projects and managing their lifecycle
  • Knowledge/curiosity about big data technologies and tools
  • Familiarity with Claude Code and/or Cursor, skills and AI agents
  • Excellent written and verbal English proficiency
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The Company
HQ: Amsterdam
4,321 Employees

What We Do

At OLX, we build leading marketplace ecosystems enabled by tech, powered by trust, and loved by our customers. Together we're building a more sustainable world through trade. Serving tens of millions of people every month, we help people buy and sell cars, find housing, get jobs, buy and sell household goods, and much more. Our well-loved consumer brands (including OLX, Otomoto, Otodom, Property24, and more) offer safe, smart, and convenient trading platforms and services for our customers. OLX is powered by teams around the world, who are unified in their ambition to help people get more from the world’s limited resources. We are OLX.

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