Data Engineer – Domain Data

This is a fully remote position, open to applicants in Portugal.

📋 Description

• Facilitate the effective utilization of domain data as a product by delivering and advocating for strategically developed actionable datasets and data models.

• Construct, maintain, and enhance data pipelines utilizing a diverse array of technologies.

• Assist teams lacking data engineers in creating decentralized data solutions and product integrations.

• Develop data pipelines in the Lakehouse using Medallion architecture.

• Serve as a data ambassador, advocating for the importance of data and the data platform among engineering teams.

• Collaborate with product teams to incorporate data into end products and optimize source data.

• Adhere to and promote data mesh principles regarding decentralized data ownership and the concept of “data as a product.”

• Champion privacy-by-design principles, ensuring that sensitive data meets security and privacy regulations.

• Enhance engineering data literacy through training and mentoring initiatives.

• Propel agentic systems for data engineering by developing specialized skills and agents.

• Partner with product managers, software engineers, product analysts, data scientists, and regional business stakeholders to deliver and validate data projects from inception to completion.

⛳️ Requirements

• A minimum of 2 years of experience in developing complex data pipelines and collaborating with technical and business stakeholders.

• Highly creative, driven, and self-motivated individual.

• Proficient SQL skills, including the ability to write efficient and readable SQL code.

• Familiarity with Medallion architecture.

• Experience in designing solutions for scalability, storage, and performance.

• Strong business and product acumen coupled with the capacity to navigate ambiguity.

• Proven track record of successfully delivering and managing data project lifecycles.

• Capability to develop robust Python applications with maintainable code.

• Experience with cloud data technologies such as AWS, GCP, or Azure Cloud.

• Proficiency with technologies like Redshift, Spark, Trino, Iceberg, or Airflow.

• Knowledgeable and curious about big data technologies and tools.

• Experience working with analytics teams and translating business terminology and KPIs into technical specifications.

• Familiarity with defining and assessing data quality, such as using Monte Carlo or Great Expectations.

• Experience with Claude Code and/or Cursor, skills, and AI agents.

• Excellent written and verbal communication skills in English.

🏝️ Benefits

• Permanent employment contract.

• Competitive salary with an annual bonus of up to 15% of your gross annual salary.

• Opportunity to work with and make an impact on all OLX websites.

• Free access to Udemy courses.

• Health and life insurance coverage.

• 100% remote work option available in Portugal.

• Potential to work from OLX offices located in Lisbon and Porto.