Nr.1 LANKOMIAUSIAS DARBO PORTALAS

Senior Data Engineer

3800 €/mėn. neatskaičius mokesčių
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Key Responsibilities:

  • Design, build, and develop data integration, transformation, and analytics solutions across our MS SQL or Snowflake environments.
  • Implement reliable data ingestion ETL/ELT pipelines from a variety of source systems.
  • Build and maintain a layered data processing architecture (ingestion, transformation, analytics layers).
  • Design, schedule, and maintain data pipeline orchestration and dependencies using Visual studio or Apache Airflow.
  • Ensure data quality, stability, and traceability through validation, automated testing, and monitoring practices.
  • Maintain version-controlled pipeline code and infrastructure using Git, following code review and CI/CD best practices.
  • Collaborate with business and IT teams, translating business requirements into technical solutions.
  • Contribute to data security, access management, and GDPR-aligned data governance practices.
  • Prepare optimized, reliable datasets for analytics, reporting, and advanced/AI-driven analytical solutions.
  • Use AI-assisted development tools (Claude) to accelerate pipeline development, documentation, and code review.
  • Participate in technical design reviews and propose improvements to the data platform architecture.
  • Mentor and support the technical growth of junior/mid-level data engineers.

What We Expect from You:

  • A university degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).
  • 4+ years of experience in data engineering, integrations, and data processing pipelines.
  • Strong SQL skills, with hands-on experience in Microsoft SQL Server (query optimization, indexing, performance tuning).
  • Experience with cloud data warehousing, ideally Snowflake.
  • Experience building and orchestrating ETL/ELT pipelines with Apache Airflow (or comparable orchestration tools).
  • Proficiency with Git for version control and collaborative development.
  • Working knowledge of Python or another scripting language for data processing and automation is a plus.
  • Understanding of data warehouse and analytics architecture and layered ("medallion"-style) data processing approaches.
  • Experience ensuring data quality, stability, and reliability across test and production environments.
  • Comfort working with AI-assisted coding tools (e.g. Claude) as part of the development workflow.
  • Ability to collaborate across teams, communicating technical solutions clearly to both technical and business stakeholders.
  • Independence, sense of ownership, and initiative in identifying and proposing technical improvements.
  • Experience mentoring or supporting less experienced engineers is a plus.

Why Us?

  • Professional growth and development opportunities within an international group of companies.
  • Real influence on data architecture — not just maintaining it, but building it, initiating changes and innovations.
  • Help shape a platform where business users can simply ask their data questions — not just build pipelines but build the experience of querying data in plain language.
  • 24/7 accident insurance in Lithuania and abroad.
  • Hybrid working possibility.

Atlyginimas

3800 €/mėn. neatskaičius mokesčių

Darbo vieta

CITY SERVICE įmonių grupė

„City Service“ – tai pirmaujanti pastatų priežiūros įmonė Lietuvoje ir Latvijoje, teikianti profesionalias ir visapusiškas komercinių ir gyvenamųjų pastatų valdymo paslaugas. Turėdami ilgametę patirtį ir pirmaujančias pozicijas pramonėje, įmonių grupė teikia visą spektrą sprendimų – nuo reguliarios pastatų priežiūros iki energijos vartojimo efektyvumo projektų įgyvendinimo.

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