2 months ago
Vilnius, LithuaniaMid Level
Responsibilities
- Architect and maintain data models by analyzing relationships across complex data sources.
- Engineer and optimize scalable data pipelines using Google Cloud Platform and Airflow.
- Develop efficient data transformations while maintaining data quality and system reliability.
- Build internal applications, automations, and reverse ETLs using Python.
- Collaborate with cross-functional teams to identify automation opportunities and develop scalable technical solutions.
Requirements
- Demonstrated proficiency in at least one programming language, ideally Python.
- Experience with cloud infrastructure, ideally Google Cloud or AWS.
- Knowledge of DataOps tools and practices, including Git, Terraform, Docker, Kubernetes, and CI/CD.
- Strong SQL skills and understanding of data modeling and data warehousing principles.
- Structured problem-solving approach, clear communication, ownership, attention to detail, and troubleshooting ability.
- Fluency in written and spoken English and Lithuanian.
- Preferred: familiarity with LangChain, Claude Agent SDK, Google ADK, n8n.io, Kafka, Redpanda, ClickHouse, or other OLAP databases.
Benefits
- Gross salary of EUR 3500–5000 per month, with flexibility based on skills and competencies.
- 40+ internal learning options, external conferences, mentorship, and year-round knowledge sharing.
- Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.
- Team events, an overseas workation, quarterly team-building budgets, and milestone celebrations.
- Bonus vacation days, paid life-moment days off, barista coffee, and provided work tools.
Tech Stack
Categories
Data Engineering
About Oxylabs
Oxylabs builds proxy networks, web scraping APIs, and ready-made datasets for enterprises that need large-scale access to public web data. Its products include residential and datacenter proxies, scraping and parsing services, and tools for use cases like pricing intelligence, SEO monitoring, ad verification, and market research. Founded in 2015 and headquartered in Vilnius, Lithuania, the privately held company serves customers that include Fortune 500 firms.