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Alliance for Recruitment

Senior Data Engineer

38
4959 - 8264 €/mėn.
Prieš mokesčius

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).

Miestas:
Vilnius
Nuotolinis darbas:
Ne
Laikas:
Visa darbo diena
Galioja iki:
09/03/2026

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