Data Analytics Engineer

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Tallinn, Estonia
Hybrid
Data modeling with dbt and bigquery
Looker structures implementation
Sql and data transformation skills
Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and BigQuery

Job Summary

  • Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and BigQuery.
  • Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting.
  • We create the conditions for high performers to thrive – through real ownership, fewer blockers, and work that makes a difference from day one.

Matching Summary

Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and BigQuery.

Skills & Requirements

Must-have

  • Data modeling with dbt and BigQuery
  • Looker structures implementation
  • SQL and data transformation skills
  • Software development lifecycle in analytics
  • Cloud technologies: BigQuery, AWS, GCP, Azure

Nice-to-have

  • Sales, finance, customer analytics data
  • Proactive problem-solving skills
  • Attention to detail for data quality
  • High-performing, collaborative team environment

Key Requirements

  • Proven delivery experience as a data engineer
  • Hands-on data modelling and warehousing skills
  • Experience in software development lifecycle
  • Proficient in dbt or similar tools
  • Familiarity with cloud technologies

Work Rights

Not specified

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