We are a team of builders and thinkers reshaping e-commerce, ticketing, and logistics from first principles. We are looking for a Senior Data Engineer who combines deep technical expertise with a strategic mindset.
Requirements
- Expert-level Python proficiency for data engineering
- Proven experience designing and deploying large-scale data platforms on AWS, GCP, or Azure
- Strong foundation in building production-grade ETL/ELT pipelines using Apache Airflow, Kafka, Spark, or cloud-native tools
- Hands-on experience with vector databases and implementing semantic search
- Demonstrated knowledge of Generative AI and LLMs, with practical experience in RAG architectures and prompt engineering
- Deep understanding of data governance, quality, and documentation, with a focus on lineage, metadata, and compliance
- Familiarity with cloud services including serverless computing, managed databases, and data warehouses
- Experience working with complex real-world data environments
- Fluency in both Lithuanian and English languages
Benefits
- Health insurance
- Yearly training budget
- Flexible working hours
- Unlimited WFH policy
- Extra vacation days
- Bonus for referrals
- WFA possibilities in NFQ-approved countries
- Office perks and team activities