TL;DR
Data Engineer (Data Science/ML): Develop and optimize ETL/ELT pipelines and improve data lake house infrastructure to ensure reliable, high-quality data for analytics and business decision-making with an accent on data architecture, automation, and collaboration. Focus on designing scalable data flows, ensuring data quality and lineage, and supporting smarter decision-making through integrated data systems.
Location: Hybrid in Lithuania (Vilnius or Kaunas) with 2 days per week onsite
Salary: 3500–5500 EUR/month
Company
hirify.global provides an IP address management platform enabling IP leasing, monetization, and management with a focus on sustainability and security.
What you will do
- Develop and optimize ETL/ELT pipelines for data ingestion, transformation, and delivery
- Improve structure, quality, and accessibility of the data lake house
- Integrate data from multiple internal and external systems into unified datasets
- Ensure data quality, consistency, and lineage across environments
- Collaborate with data analysts, engineers, and specialists to deliver analytics-ready data
- Automate workflows and improve monitoring for performance and transparency
- Contribute to data architecture decisions and process improvements
Requirements
- Location: Hybrid work model with 2 days per week in Vilnius or Kaunas, Lithuania
- English: Fluent (C1–C2 level) required
- 2+ years experience as Data Engineer or similar role
- Strong proficiency in SQL and Python
- Experience with data lakes and ETL/ELT orchestration tools (Azure Synapse Analytics, Azure Data Factory)
- Understanding of cloud data platforms (Azure, AWS)
Nice to have
- Experience with data governance, security, or access control
- Familiarity with real-time data streaming (Kafka, Pub/Sub)
- Interest in automation, ML pipelines, or AI-based data workflows
Culture & Benefits
- Ownership of work and influence on data infrastructure
- Collaborative, forward-thinking team valuing initiative and curiosity
- Additional vacation days and health & accident insurance
- Hybrid work model with office presence in Vilnius or Kaunas
- Fast-growing role with direct business impact
- Company events and agile, innovation-driven environment
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