Hybrid Data Engineer

Posted last month

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About the role

  • Develop and maintain data pipelines.
  • Automate metadata extraction and metadata updates in data pipelines.
  • Organise and cleanse raw data into usable information.
  • Create and maintain automation routines for data and metadata processing.
  • Maintain data platforms ensuring data quality.
  • Write maintainable, performant code.
  • Create and maintain systems documentation.
  • Work with stakeholders and multi-disciplinary teams to support a wide range of data initiatives.
  • Collaborate with other functions to ensure data needs are addressed.

Requirements

  • Proficient in Python.
  • Experience with Airflow or equivalent.
  • Experience with data-related Python packages.
  • Understanding of SQL and analytical data warehouses.
  • Experience with Docker is an advantage.
  • Ability to assess faults, priorities, respond and escalate accordingly.
  • Good collaboration and teamwork skills.
  • Self-motivated, enthusiastic, and able to handle multiple support cases.

Benefits

  • Opportunities for growth and professional development.
  • A dedicated team ready to collaborate and drive collective success.
  • A choice of working in our central Vilnius office or remotely.
  • A positive company culture with well-being benefits.
  • Private health and accident insurance.
  • Flexible working hours.
  • Salary ranges from 3500 EUR gross (flexible and depends on experience).

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

€3,500 per month

Degree requirement

No Education Requirement

Location requirements

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