Data Engineer

Quick Facts

Description

Join a team delivering international data engineering and analytics solutions. You will design and optimize cloud data pipelines and models, build dbt transformations, and support data warehouse modernization, BI migrations, and CRM integration use cases. The role emphasizes data quality, testing, monitoring, and delivering analytics-ready datasets for data-driven decisions.

Responsibilities

• Design, develop, and optimize data pipelines and data models using modern cloud technologies
• Build and maintain dbt models and complex data transformations with Python and SQL
• Support data warehouse modernization, BI migrations, and integration of multiple data sources
• Develop analytical datasets and reporting solutions to support business decisions
• Ensure data quality, testing, monitoring, and documentation
• Collaborate with engineering teams, analysts, and business stakeholders to deliver scalable data solutions

Requirements

• 3+ years of commercial experience in Data Engineering or Analytics Engineering
• Hands-on experience with GCP (BigQuery) and Snowflake
• Advanced proficiency in Python and SQL, including complex data transformations, data processing, and query optimization
• Practical experience with dbt, including developing, testing, and optimizing data models
• Solid understanding of data warehousing, data modeling, ETL/ELT processes, and data architecture best practices
• Hands-on experience with BI and reporting tools (Looker/LookML/Omni, Power BI, Tableau)
• Experience with workflow orchestration tools (Apache Airflow or equivalent)
• Experience with Git, CI/CD pipelines, code reviews, and automated testing
• Good understanding of data quality, monitoring, and data governance practices
• Strong analytical and problem-solving skills and ability to work independently with stakeholders
• Excellent English communication skills (C1 minimum)

Benefits

• Flexible work arrangements (remote or from offices/coworking spaces)
• Career growth through knowledge sharing, language classes, and sponsored training/conferences (Databricks and Anthropic partnerships)
• Medical and sports packages, eye care, and well-being support (including psychotherapy and coaching)
• Team-building events and integration budget; celebration of work anniversaries and milestones
• Full work equipment and smooth onboarding with a dedicated buddy
• Support to boost your personal brand through conferences, writing, and meetups