Marketing Analytics Engineer (dbt) at N26

on-site · full-time · Visa sponsorship

Apply for this role at N26

Responsibilities:
- Design and maintain production dbt data models to create a single source of truth for marketing data
- Build robust data products and transformations using version control, CI, testing and documentation
- Develop and maintain data pipelines into the Redshift warehouse and support BI layers (Metabase/QuickSight)
- Diagnose and resolve issues in ETL/ELT flows to preserve data quality for analytics and ML models
- Improve analyst workflows by creating reusable models and self-service layers that save time
- Collaborate with marketing, data scientists and analysts on schema, instrumentation and reporting needs

Requirements:
- Bachelor’s or Master’s in Computer Science, Data Science, Statistics or related quantitative field
- 2+ years experience as an Analytics Engineer, Data Engineer or Software Engineer working with marketing/growth data
- Proven expertise in dbt, strong SQL skills and familiarity with Python for automation
- Experience with ETL/ELT tools and data warehousing (Redshift preferred) and BI tools (Metabase, Tableau, Looker)
- Comfortable with software engineering best practices: version control, CI, testing and documentation
- Strong communication skills and ability to translate business needs into reliable data models