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Godel Technologies Europe

Senior Data Engineer (Snowflake)

Godel Technologies Europe
Lithuania · Full-time · Mid-Senior

Company Description

At Godel Technologies, we are passionate about building innovative software solutions that empower businesses around the world. We are growing and looking for a talented Data Engineer with strong Snowflake expertise to join our team. If you are interested in working with modern data technologies, solving complex problems, and making an impact — we want to hear from you!

 

As a Data Engineer, you will be part of a collaborative and agile environment where your ideas matter. You will design, build, and maintain scalable and efficient data pipelines and solutions that support data-driven decision-making. You’ll work closely with cross-functional teams including Data Scientists, Architects, and Software Engineers to create reliable, secure, and high-performing systems.

 

This position is available exclusively to candidates from Lithuania. Remote work is possible, but candidates are expected to be willing to make occasional office visits, such as for client visits, team-building events, company events, or other important in-person meetings.

 

Salary range: €3500-€5500 gross, based on your experience and interview results.


Tech Stack

  • Programming Languages: Python, SQL
  • Data Warehousing: Snowflake, Redshift
  • ETL/Orchestration Tools: Apache Airflow, dbt
  • Cloud Platforms: AWS (S3, Lambda, Kinesis, Batch, DynamoDB, Athena, Glue, etc.)
  • Version Control: Git
  • Infrastructure as Code: Terraform



Responsibilities

  • Design, develop, and optimize scalable data pipelines and ETL/ELT processes
  • Work with structured and unstructured data from various sources
  • Collaborate with Data Scientists, Software Engineers, and Business Analysts to meet data requirements
  • Implement data quality, data validation, and monitoring practices
  • Participate in architecture and design discussions to build cloud-native data platforms
  • Maintain and optimize data storage solutions (data lakes, data warehouses)
  • Ensure the security, integrity, and availability of data
  • Support the deployment of machine learning models into production
  • Continuously improve performance, reliability, and scalability of our data systems


Requirements

Must have:

  • At least 5 years of experience as a Data Engineer
  • At least one year of experience working with Snowflake
  • Strong understanding of data modeling, data warehousing, and ETL/ELT processes
  • Solid programming skills in Python
  • Strong knowledge of SQL and database optimization
  • Experience in building and maintaining data pipelines using modern orchestration tools
  • Ability to work with large volumes of data efficiently
  • Understanding best practices for data security and governance
  • Familiarity with Agile methodologies and working in cross-functional teams
  • Strong analytical thinking, problem-solving skills, and attention to detail are important
  • Excellent communication and teamwork skills
  • Strong verbal and written English communication skills

Nice to have:

  • Data Processing: Spark (Databricks), Kafka
  • Databases: MS SQL (SSIS, SSAS), PostgreSQL, MySQL
  • BI tools: PowerBI, YellowfinBI, Tableau


What we offer

Having fun and delivering the very best service are the founding principles of Godel.

We're always on the lookout for talented and creative people who are willing to go above and beyond the call of duty for their teammates and our clients.

Working for Godel comes with a range of benefits to help you enjoy your work here, including:


  • Flexible Working Schedule and Hybrid Way of Work
  • Agile Delivery We use agile because it's cool. It suits everyone
  • Challenging Projects It could be the travel or energy industry, a mobile app or an in-house analytics service
  • Professional Team Our clients come to us from a wide variety of industries
  • Trust-Focused Culture
  • Personal Development Plan
  • Private Medical Healthcare
  • Sport Compensation
  • Free English Classes




Key Skills

Ranked by relevance

sql data warehousing machine learning postgresql dynamodb storage python apache cloud spark aws s3
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Posted
Feb 24, 2026
Type
Full-time
Level
Mid-Senior
Location
Vilniaus

Industries

Software Development

Categories

Information Technology

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