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We are looking for a Senior Data Engineer to join our team and work on complex, data-driven projects. In this role, you will be responsible for designing, building, and maintaining scalable data platforms and pipelines that support analytics, reporting, and data science initiatives. This is a reserve position in our growing team, with the opportunity to contribute to innovative projects in applied AI.
Job Responsibility:
Design, build, and maintain scalable and reliable data pipelines and data platforms
Develop and optimize ETL/ELT processes for structured and unstructured data
Ensure data quality, consistency, and performance across systems
Design data models and storage solutions for analytics and reporting
Monitor, troubleshoot, and optimize data workflows and infrastructure
Contribute to architectural decisions and technical best practices
Document data architecture, pipelines, and operational processes
Requirements:
4+ years of experience as a Data Engineer or in a similar role
Strong programming skills in Python, SQL, or similar languages
Experience with modern data technologies (e.g. Snowflake, BigQuery, Redshift, Databricks)
Hands-on experience with data orchestration tools (e.g. Airflow, Prefect, Dagster)
Experience with cloud platforms (AWS, GCP or Azure)
Strong understanding of data modeling, data warehousing, and data lakes
Experience working with large-scale, distributed data systems
Ability to work independently and take ownership of data solutions
Good communication skills and experience collaborating with cross-functional teams
Upper-intermediate English level
Nice to have:
Knowledge of streaming technologies (Kafka, Spark Streaming, Flink)
Experience with infrastructure as code and containerization (Terraform, Docker, Kubernetes)
What we offer:
Culture you can count on: Our core values ownership, transparency, and service aren’t just paper promises, they are our daily navigators. This means open communication, no bureaucracy and no micromanagement – we trust our people
True remote flexibility: Work from wherever you feel most productive and organize your day around your tasks, meetings and stay responsive during our core collaboration hours (12 PM-4 PM Lithuanian time)
Structured growth and connection: Mentorship Program: you get a dedicated colleague from day one to help you adapt, build connections, and grow, bridging the distance
Engaging Internal Life: we ensure connection and growth through internal activities, knowledge exchange, online challenges, our Sigli Soft Skills School, and local team gatherings