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