Data Engineer

OLX; Polska; Hybrid; PLN 120,000 - 180,000; Full time

Job summary

A leading online marketplace in Poland is looking for a mid-level Data Engineer. This role involves building and optimizing complex data pipelines and collaborating with product teams to ensure data quality and reliability. You will be part of a global team, focusing on real-time data processing and helping teams adopt decentralized data solutions. The position offers a permanent contract with competitive salary, remote work options, and benefits including health insurance and learning budgets.

Benefits

Permanent contract

Salary + annual bonus up to 15%

Health insurance

MacBook Pro provided

Training budget and access to Udemy

Qualifications

• 3+ years of experience extracting and processing data via API or streaming tools.
• Master of SQL with a focus on writing efficient code.
• Experience with cloud technologies like AWS, GCP, or Azure.

Responsibilities

• Enable efficient domain data consumption through actionable datasets.
• Build and improve data pipelines using various technologies.
• Promote data mesh principles and privacy standards.

Skills

Building complex data pipelines

SQL proficiency

Real-time data processing

Python applications

Cloud data technologies

Data quality measurement

Tools

AWS Redshift

Apache Kafka

Spark

DynamoDB

Apache Flink

Lakehouse architecture

Job description

WELCOME TO OLX

At OLX, we work together to build a more sustainable world through trade.

We make it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more. Our colleagues around the world help to serve millions of people around the world every month, through its well-loved consumer brands including OLX, Otodom, AutoTrader, Property24.

Join OLX and see how far you can go.

ABOUT THE ROLE

We are hiring a mid-level Data Engineer. Become a part of an agile 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.

While being part of a central team of data engineers across Lisbon, Berlin, and Poznan, you will be embedded in a cross‑functional team focused on an Intelligent Pricing System. You will work closely with product managers, software engineers, product analysts and data scientists 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 like AWS Redshift, Trino, Spark, Airflow, and Kafka streaming for real‑time processing
• Build data pipelines in our Lakehouse using Medallion architecture
• Support teams without data engineers in building decentralised data solutions and product integrations, for example, around DynamoDB
• 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 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’
• Enforce privacy and security standards (privacy by design)
• Increase data literacy of the engineering organisation by hosting training and mentoring other engineers (both less experienced data engineers and software engineers)

Who we are looking for

• +3 years of experience building complex data pipelines, including extracting and processing data from external sources via API or real‑time streaming tools
• Entrepreneurial spirit and 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.
• Knowledge of real‑time data processing frameworks, such as Apache Kafka, AWS Kinesis or Apache Flink
• Experience with Medallion architecture
• Knowledge of Lakehouse architectures and Apache Iceberg format.
• 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
• Build rock‑solid Python applications – writes understandable and maintainable code
• Experience with cloud data technologies (AWS, GCP, or Azure Cloud), such as Redshift, Athena, Spark
• Knowledge and curiosity about other big data technologies and tools
• Experience with analytics and defining metrics
• Experience with measuring data quality
• Excellent written and verbal proficiency in English
• You must be based in Poland

Our hiring process

• Recruiter Interview
• Technical Interview
• Hiring Manager Interview

Our benefits

• Permanent contract (we are not offering the B2B option)
• Salary + annual bonus up to 15% of your annual gross salary
• Work with and impact all OLX services in Europe
• Train and conference budget and free access to Udemy courses
• Health insurance and life insurance
• MacBook Pro along with the necessary accessories to make your work comfortable
• 100% remote work (and the possibility to work from our offices in Warsaw and Poznan)

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.