Data Engineer (Domain Data)

OLX Group

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

+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