Senior Data Engineer

Remote in Republic of Lithuania

Data Software Engineering

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We are seeking a Senior Data Engineer to join our team and take a leading role in designing, building and evolving enterprise-scale data solutions. This is a hands-on engineering position that blends deep technical expertise with architectural thinking and technical leadership. You will work with modern data engineering practices, contribute to our Data Lakehouse platforms and help shape the future of our cloud-native data ecosystem.

Responsibilities

Design, build and evolve enterprise-scale data solutions
Take a leading role in shaping the architecture of cloud-native data platforms
Contribute to the development and growth of Data Lakehouse platforms
Design, implement and maintain robust and reliable data pipelines
Develop ETL processes for large-scale data processing and automation
Apply modern data engineering practices across the data ecosystem
Provide technical leadership and architectural guidance within the team
Collaborate with stakeholders to deliver scalable enterprise data solutions

Requirements

3+ years of experience in data engineering within enterprise environments
Proficiency in advanced SQL with solid understanding of analytical and dimensional data modeling
Hands-on experience with Data Lakehouse or modern data platform concepts including cloud object storage, open table formats and distributed processing
Expertise in AWS data services such as EMR, Glue and Athena, including S3-based data lakes
Strong experience with Apache Spark for large-scale data processing
Solid Python skills for ETL development, data processing and automation
Background in designing, implementing and maintaining robust and reliable data pipelines
Strong analytical, problem-solving and system-level thinking skills
Fluent English in spoken and written communication

Nice to have

Familiarity with Oracle or Sybase data warehouses