Senior Data Engineer

Our client is a young tech startup building a next-generation digital real estate data platform that helps users make data-driven decisions before buying, selling, or developing property. If you’re looking for a role where your work has a real impact and you can shape a product that changes how people interact with real estate data, we’d love to meet you.

Senior Data Engineer

Job description:

• 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).

Salary: €3,000 - €5,000 netto (€4959 – €8264 gross).