D

Mid-Senior Data Engineer

develop • Lithuania
Visa Sponsorship Relocation
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Join a growing technology consultancy in Vilnius to design and modernize large-scale data platforms. You will develop scalable data pipelines and production-grade applications to support advanced analytics and business decision-making. Requires 4+ years of professional experience, strong SQL/programming fundamentals, and professional English proficiency.

Key Highlights
Work across a variety of projects and industries in a fast-paced consultancy environment
Design, build, and maintain scalable data pipelines and production-grade data solutions
Collaborate closely with engineers, analysts, and business stakeholders
Key Responsibilities
Design, develop and maintain scalable data pipelines and platforms
Build robust, production-grade data applications and solutions
Integrate data from internal and external sources
Ensure data quality, reliability, security and accessibility
Support analytics, reporting and data modelling initiatives
Work closely with engineers, analysts, consultants and business stakeholders
Identify opportunities to improve data processes and engineering practices
Contribute to best practices across the wider engineering team
Technical Skills Required
Python SQL Data Engineering
Benefits & Perks
Visa sponsorship
Relocation support
Nice to Have
Experience within consulting, financial services or other regulated industries
Apache Spark
Databricks
Apache Airflow
AWS, Azure or GCP
CI/CD
Modern data warehousing and cloud data platforms
C++
React
Java

Job Description

Data Engineer | Hybrid in Vilnius | Professional Standard of English Required | Open to re-locators | Sponsorship available for the right candidate

Our client is a growing technology consultancy who is expanding its existing engineering team in Vilnius and is looking for talented Data Engineers to join the business. You'll work across a range of large-scale digital and data transformation programmes, helping clients design, build and modernise data platforms that support advanced analytics, reporting and business decision-making.

The Role

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