Senior Data Engineer (GCP, Snowflake, dbt)

Quick Facts

• Role: Senior Data Engineer (GCP, Snowflake, dbt)

• Focus: Cloud data pipelines, data warehouse modernization, analytics datasets, and data quality

Description

Senior Data Engineer role focused on building and optimizing scalable data solutions using GCP BigQuery, Snowflake, and dbt. You’ll modernize data warehouses, support BI migrations and CRM integrations, and deliver analytics datasets for growth and self-service reporting. The work includes data quality practices such as testing, monitoring, and documentation.

Responsibilities

• Design, develop, and optimize data pipelines and data models

• Build and maintain dbt models and complex transformations using Python and SQL

• Support data warehouse modernization, BI migrations, and multi-source data integration

• Develop analytical datasets and reporting solutions for business decisions

• Ensure data quality with testing, monitoring, and documentation

• Collaborate with engineering teams, analysts, and business stakeholders

Requirements

• 5+ years of commercial experience in Data Engineering or Analytics Engineering

• Hands-on experience with GCP (BigQuery) and Snowflake

• Advanced Python and SQL skills for complex transformations and query optimization

• Practical experience with dbt (developing, testing, optimizing models)

• Strong knowledge of data warehousing, data modeling, and ETL/ELT processes

• Hands-on BI/reporting tool experience (e.g., Looker, LookML, Omni, Power BI, Tableau)

• Experience with workflow orchestration (Apache Airflow or equivalent)

• Experience with Git, CI/CD pipelines, code reviews, and automated testing

• Understanding of data quality, monitoring, and data governance

• Excellent English communication (C1 minimum)

Benefits

• Flexible work arrangements (remote or modern offices/coworking spaces)

• Sponsored training and conference opportunities (including partnerships for certifications)

• Medical and sports packages, eye care, and well-being support

• Full work equipment (laptop and necessary devices)

• Career growth via knowledge-sharing, language classes, and an onboarding buddy