Senior Analytics Engineer - Remote

Overview

As a Senior Analytics Engineer, you will own and drive the transformation of raw data into scalable, well-structured datasets that empower teams to make impactful business decisions.

In Short

• Develop well-structured and analytics-ready data models.
• Define key KPIs and implement measurement logic for consistent metrics.
• Build efficient reporting solutions using dbt, BigQuery, and Looker.
• Evaluate and integrate new technologies to enhance data platform performance.
• Work collaboratively with stakeholders to ensure data accessibility.
• Drive excellence in data infrastructure through continuous improvement.
• Communicate complex issues clearly to technical and non-technical teams.
• Foster a data-driven culture within the organization.
• Support personal and professional growth with development opportunities.
• Enjoy flexible work models and ample vacation time.

Requirements

• Degree in Data Science, Computer Science, Statistics, Engineering, or related field.
• At least 5 years of experience in Analytics Engineering or Data Engineering.
• Proficient in SQL and Python.
• Experience with modern data stack tools like dbt, BigQuery, and Looker.
• Familiarity with version control and CI/CD workflows (e.g., Git).
• Strong analytical and problem-solving skills.
• Fluency in English; German is a plus.
• Experience in the FinTech sector is a plus.
• Growth mindset and passion for data.
• Ability to structure complex relationships and set clear priorities.

Benefits

• Flat hierarchies and cultural openness in a diverse team.
• Flexible work models and hours, including remote work options.
• Support for personal and professional growth with an annual development budget.
• High-quality equipment provided at the start of your tenure.
• Attractive terms for investment strategies and additional benefits.
• Health initiatives and wellness programs.