Data Engineer (Domain Data)
New
O
OLXMarketplace E-commerce
1000% remote work in Portugal (and the possibility of working from our offices in Lisbon and Porto)Full-TimeMiddle
SalaryCompetitive salary + annual bonus up to 15% of your annual gross salary
Apply NowOpens the employer's application page
Job Details
- Languages
- English
- Experience
- +2 years
- Required Skills
- AWSPythonSQLApache AirflowGCPAzureSpark
Requirements
- +2 years of experience building complex data pipelines.
- Experience working with both technical and business stakeholders.
- Mastery of SQL language.
- Familiarity with Medallion architecture.
- Experience with designing for scale and data growth.
- Business and product understanding with the ability to deal with ambiguity.
- Potential to build rock-solid Python applications.
- Experience with cloud data technologies (AWS, GCP, or Azure).
- Familiarity with big data tools such as Redshift, Spark, Trino, Iceberg, or Airflow.
- Experience with defining and measuring data quality using tools like Monte Carlo or Great Expectations.
- Familiarity with Claude Code, Cursor, skills, and AI agents.
- Excellent written and verbal proficiency in English.
Responsibilities
- 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.
- Follow and promote data mesh principles around decentralised data ownership and 'data as a product'.
- Promote and uphold privacy-by-design principles to ensure compliance with security and privacy standards.
- Increase data literacy of the engineering organisation by hosting training and mentoring other engineers.
- Help advance agentic systems tailored for data engineering through the creation of specialized skills and agents.
View Full Description & ApplyYou'll be redirected to the employer's site
