Data Engineer, GCP, Snowflake, dbt

This is a fully remote position, open to applicants in Poland.

📋 Description

• Design, develop, and enhance data pipelines and data models utilizing contemporary cloud technologies.

• Create and uphold dbt models along with intricate data transformations using Python and SQL.

• Assist in modernizing the data warehouse, migrating BI, and integrating various data sources.

• Produce analytical datasets and reporting solutions to aid in business decision-making.

• Ensure the quality of data, including testing, monitoring, and documentation.

• Collaborate with engineering teams, analysts, and business stakeholders to deliver scalable data solutions.

• Engage in international data engineering and analytics projects.

• Concentrate on developing scalable data solutions, modernizing data warehouses, and facilitating data-driven business decisions.

• Participate in data warehouse and BI modernization, CRM data integration, commercial and growth analytics, and projects focused on data quality and self-service analytics.

⛳️ Requirements

• A minimum of 3 years of professional experience in Data Engineering or Analytics Engineering.

• Extensive hands-on experience with GCP (BigQuery) and Snowflake.

• Advanced skills in Python and SQL, covering complex data transformations, data processing, and query optimization.

• Significant practical experience with dbt, including the development, testing, and optimization of data models.

• Strong understanding of data warehousing, data modeling, ETL/ELT processes, and best practices in data architecture.

• Practical experience with BI and reporting tools such as Looker, LookML, Omni, Power BI, or Tableau.

• Familiarity with workflow orchestration tools like Apache Airflow or similar solutions.

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

• Good grasp of data quality, monitoring, and data governance practices.

• Strong analytical and problem-solving abilities, capable of working independently and collaborating with business stakeholders.

• Excellent English communication skills (minimum C1 level).

• Knowledge of CRM systems like HubSpot or Salesforce.

• Experience with semantic layers, BI migrations, or data warehouse refactoring.

• Background in fintech, SaaS, or commercial analytics.

• Familiarity with A/B testing, product analytics, or AI-ready data solutions.

• Eligibility to work in the EU.

🏝️ Benefits

• Flexible working arrangements, offering remote work options or work from modern offices and coworking spaces.

• Career development paths and initiatives for knowledge sharing.

• Language courses available.

• Sponsored training or attendance to conferences.

• Collaborations with Databricks and Anthropic providing training materials and certifications.

• Team-building activities.

• Integration budget.

• Celebrations for work anniversaries, birthdays, and significant milestones.

• Medical and sports packages.

• Eye care services.

• Well-being support services, including psychotherapy and coaching.

• Comprehensive work equipment, including a laptop and other necessary devices.

• Opportunities to speak at conferences, contribute to the company blog, or participate in meetups.

• Assigned onboarding buddy for support.