Design, build, and maintain end-to-end data pipelines and the data platform.
Lead technical decisions around data architecture, tools, and pipelines, guiding best practices across the team.
Develop and maintain orchestration workflows to automate data movement, scheduling, and monitoring.
Ensure data quality, reliability, and lineage across all datasets.
Optimize ETL/ELT pipelines, making data accessible and ready to use.
Continuously improve infrastructure, implementing automation, testing, and monitoring for scalable operations.
Collaborate with data scientists, analytics, product management, and engineering teams to develop new products and features.
Mentor and guide junior team members.
Requirements
Python proficiency for data engineering use cases, including API integrations, data transformations, and workflow automation (e.g., Pandas, PySpark).
Experience with containerization and/or orchestration tools (Docker, Kubernetes) for deploying scalable data pipelines.
Experience with data pipeline orchestration (e.g., Apache Airflow, Dagster).
Hands-on experience with cloud environments, working in at least one major provider (AWS, Azure, or GCP).
Experience with modern data platforms (Snowflake or Databricks).
Proven ability to design, build, and maintain production-grade ETL/ELT pipelines that are scalable, reliable, and performant.
Understanding of data governance, data quality frameworks and documentation best practices.
Familiarity with CI/CD pipelines for data workflows.
Solid grasp of the software development lifecycle (SDLC), including code reviews, testing, deployment, and monitoring.
Company offers
Flexible working hours – we trust you to manage your time.
Learning & development budget – we invest in your growth.
A fast-moving startup environment that encourages experimentation, learning, and collaboration.
Remote or hybrid working model (if you’re based in Klaipėda, you can work from the office or choose a hybrid setup. If you’re located in another city, you can work remotely with occasional agreed-upon visits to the Klaipėda office).
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