Build and optimize scalable data pipelines, lakehouse datasets, and data models using decentralized data ownership and Medallion architecture. Partner with product, engineering, analytics, and business teams to deliver data projects, improve data quality, enable product integrations, promote privacy-by-design, and mentor engineers. Help develop agentic systems for data engineering.
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.
ABOUT THE ROLE
We are hiring a mid-level Data Engineer for our team.
We are hiring a mid-level Data Engineer for our 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 Portugal, Poland and Spain, 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 managing their 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
- Based in Poland
Our hiring process:
- Recruiter Interview
- Hiring Manager Interview
- Technical Interview
Our benefits:
- Permanent contract (we are not offering a B2B option)
- Salary + annual bonus up to 15% of your annual gross salary
- IP Rights’ Costs (tax-deductible costs up to 70%)
- Work with and impact all OLX websites across Europe
- Train and conference budget
- A benefits package with 330 points on the Mybenefit platform per month, private medical care provided by Luxmed, Ask Henry services, and much more
- 100% remote work (and the possibility to work from our offices in Poznan and Warsaw)
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.
Similar Jobs
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Design, build, and optimize Snowflake-based cloud data platforms and scalable ELT/ETL pipelines for financial-services clients. The role involves data integration, modeling, governance, performance and cost optimization, advanced Snowflake capabilities, stakeholder collaboration, technical leadership, mentoring, and delivery of client projects in an Agile environment. The one-year engagement requires relocation to Qatar.
Top Skills:
Apache AirflowApache IcebergAWSCi/CdDbtDevOpsDynamic TablesElt/EtlGCPInfrastructure As CodeKafkaAzurePythonSnowflakeSnowparkSnowpipeSnowpipe StreamingSQLStreams & Tasks
Information Technology
Designs, builds, and maintains scalable ETL/ELT pipelines, data models, storage solutions, and data workflows, primarily using AWS. Ensures data integrity, governance, security, observability, reliability, and performance across structured and unstructured data systems. Collaborates with product, engineering, analytics, and machine learning teams to support data-driven initiatives and optimize analytical and operational data infrastructure.
Top Skills:
Amazon AthenaAmazon KinesisAmazon RedshiftAmazon S3Apache AirflowSparkAWSAws CloudformationAws GlueAws LambdaAzure Data FactoryBigQueryCi/CdDatabricksGCPMlopsPythonSQLTerraform
Artificial Intelligence • Computer Vision • Software
Build and maintain ETL/ELT pipelines, cloud data warehouse models, dashboards, and reports. Ensure data quality, governance, lineage, and reliable metric definitions while translating stakeholder needs into actionable analytics. Support AI-enabled reporting, natural-language querying, anomaly detection, and governed LLM tools. Collaborate with business, IT, and engineering teams to automate reporting and improve self-service data access.
Top Skills:
AirflowAPIsBigQueryChatgptClaudeCopilotDbtEtl/EltFivetranLlmsLookerNetSuitePower BIPythonRagRedshiftSalesforceSnowflakeSQLTableauWorkatoZapier
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering


