2 дня назад
Data Engineer (Python)
3 500 - 5 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Python) (Data & Analytics): Designing and maintaining scalable data models and high-performance pipelines for accessible, accurate business data with an accent on Google Cloud Platform, Airflow, SQL, and DataOps. Focus on translating complex business logic into reliable transformations, building Python automations and reverse ETLs, and developing internal tools with cross-functional teams.
Location: Vilnius, Lithuania; Workplace: Hybrid
Gross salary: €3,500–€5,000 per month, with flexibility based on skills and competencies.
Company
The Data & Analytics – Core department supports business decisions by making internal and external data accessible, accurate, and timely.
What you will do
- Analyze the data ecosystem and define relationships between data sources.
- Architect and maintain robust data models.
- Build and optimize scalable, high-performance data pipelines with Google Cloud Platform and Airflow.
- Translate business logic into efficient transformations while maintaining data quality and system reliability.
- Develop internal applications, automations, and reverse ETLs with Python.
- Work with cross-functional teams to identify automation opportunities and create scalable technical solutions.
Requirements
- Proficiency in at least one programming language, ideally Python.
- Experience with cloud infrastructure, ideally Google Cloud or AWS.
- Knowledge of DataOps practices and tools, 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 skills.
- Fluency in English and Lithuanian, both written and spoken.
Nice to have
- Familiarity with agent frameworks such as LangChain, Claude Agent SDK, or Google ADK.
- Experience with workflow automation tools such as n8n.
- Experience with event streaming platforms such as Kafka or Redpanda.
- Proficiency in ClickHouse and other OLAP databases.
- Technical aptitude and comfort with engineering-related discussions.
Culture & Benefits
- 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, and quarterly team-building budgets.
- Bonus vacation days and paid life-moment days off.
- Barista coffee and the tools needed for the role.
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