5 дней назад
Data Engineer (Domain Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Domain Data) (SQL/Python/Lakehouse): Building scalable domain data products, models, and pipelines for OLX marketplace systems with an accent on data mesh, decentralised ownership, and data quality. Focus on designing Medallion architecture pipelines, enabling privacy-by-design data consumption, and advancing agentic systems for data engineering.
Location: 100% remote in Portugal, with optional access to offices in Lisbon and Porto.
Company
operates marketplace ecosystems for cars, housing, jobs, and secondhand goods across seven markets.
What you will do
- Deliver actionable domain datasets and data models as reliable data products.
- Build, maintain, and improve scalable Lakehouse pipelines using Medallion architecture.
- Support decentralised data solutions and product integrations across engineering and product teams.
- Promote data mesh, privacy-by-design, data literacy, and effective data platform adoption.
- Collaborate with product managers, software engineers, analysts, data scientists, and regional business partners on end-to-end data projects.
- Develop specialised skills and agents for agentic data engineering systems.
Requirements
- 2+ years of experience building complex data pipelines and delivering data projects.
- Advanced SQL skills and the ability to write efficient, maintainable Python applications.
- Experience with Medallion architecture, scalable storage and performance design, and data quality practices.
- Experience with cloud data technologies such as AWS, GCP, Azure, Redshift, Spark, Trino, Iceberg, or Airflow.
- Business and product understanding, stakeholder management, and the ability to translate KPIs into technical requirements.
- Excellent written and verbal English proficiency required.
Nice to have
- Experience with Monte Carlo or Great Expectations.
- Familiarity with Claude Code, Cursor, AI agents, and other big data technologies.
Culture & Benefits
- Permanent employment contract with a competitive salary and annual bonus of up to 15% of gross annual salary.
- 100% remote work in Portugal, with optional access to Lisbon and Porto offices.
- Health and life insurance.
- Free access to Udemy courses.
- Opportunity to influence data products across all websites and collaborate with international teams.
Hiring process
- Recruiter interview.
- Hiring manager interview.
- Technical interview.
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