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

• Design, test, and sustain data pipelines and DBT models to guarantee a consistent data flow across various systems.

• Collaborate with analysts to organize datasets that are tailored for reporting and activation purposes.

• Facilitate data quality checks, monitoring, and documentation to uphold confidence in our data.

• Assist with data integrations using tools such as Google Tag Manager, Hightouch, Segment, and Braze.

• Work alongside senior engineers to comprehend our data architecture and adhere to best practices.

• Collaborate with marketing, product, and operations teams to deliver data for targeting, personalization, and measurement initiatives.

• Engage in code reviews, team discussions, and continuous improvement efforts.

• Diagnose data issues, investigate root causes, and recommend solutions.

• Contribute to enhancing workflow automation.

• Assist in creating documentation and internal guides for the data team.

• 1–2 years of relevant experience in data engineering, analytics engineering, or a comparable technical field.

• Strong grasp of SQL and foundational to intermediate proficiency in Python for data manipulation and ETL processes.

• Familiarity with cloud data warehouses (preferably BigQuery) and version control systems (Git).

• Ideally possess some basic knowledge of DBT, reverse ETL, and workflow orchestration tools (e.g., Prefect, Airflow).

• Excellent problem-solving abilities and a keen interest in understanding how data flows through systems.

• Comfortable in a remote, fast-paced startup environment.

• 100% remote work with flexible hours.

• High-quality equipment (choose between MacBook Pro or PC).

• Opportunity to learn from industry leaders, including former Googlers and more.

• Unlimited potential for growth.

• Be part of a successful team.

• Competitive salary.

• A fun, non-corporate work environment.

Data Engineer

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