Senior Data Engineer

Unisys

Vilnius, Lithuania
Base: 4.600,00 - 6.667,00 € gross monthly; bonus/e...
3d onsite
Design, build, and maintain etl/elt data pipelines
Develop and manage data models, data lakes, data warehouses
Ensure data reliability, integrity, and performance
Design, build, and maintain scalable ETL/ELT data pipelines, develop and manage data models, data lakes, and data warehouses, ensuring data reliability, integrity, and performance across systems

Job Summary

  • Design, build, and maintain scalable ETL/ELT data pipelines, develop and manage data models, data lakes, and data warehouses, ensuring data reliability, integrity, and performance across systems.
  • Collaborate with developers, architects and stakeholders to align business requirements and deliver clean and accessible datasets, while staying up-to-date with emerging technologies and best practices.
  • Unisys offers a "Winning Culture" with award-winning projects, strong Corporate Social Responsibility and Inclusion standards, a company own learning platform, a "Wellbeing & Employee Assistance Program", and a hybrid work model.

Matching Summary

Design, build, and maintain scalable ETL/ELT data pipelines, develop and manage data models, data lakes, and data warehouses, ensuring data reliability, integrity, and performance across systems.

Salary

Base: 4.600,00 - 6.667,00 € gross monthly; Bonus/Equity: Bonus/referral/incentive/recognition programs; Benefits: attractive pension scheme and various allowances, Extended health insurance coverage, hybrid work model

Skills & Requirements

Must-have

  • Design, build, and maintain ETL/ELT data pipelines
  • Develop and manage data models, data lakes, data warehouses
  • Ensure data reliability, integrity, and performance
  • Optimize data processing using Spark
  • Work with Azure, Databricks, AWS, GCP
  • Python programming language proficiency
  • SQL and NoSQL databases experience
  • Data built tools experience

Nice-to-have

  • Experience with CI/CD pipelines for data workflows
  • Strong problem-solving, communication, leadership skills
  • Ability to work independently and collaboratively
  • Experience with Airflow, Apache NiFi, or Prefect
  • Experience with Snowflake, Redshift, BigQuery
  • Experience with S3, Delta Lake, Iceberg

Key Requirements

  • 5+ years of experience in data engineering
  • Python programming language
  • SQL and NoSQL databases
  • Spark distributed data processing frameworks
  • Data warehouses and data lake technologies
  • CI/CD pipelines for data workflows

Work Rights

Not specified

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