Marketing Analytics Engineer at N26
on-site · full-time · Visa sponsorship
Responsibilities:
- Design and maintain clean, centralized data models to support marketing analytics and self-serve reporting.
- Develop and maintain ETL/ELT pipelines and transformations using tools like Airflow, dbt and Fivetran.
- Build reliable, tested data products using software engineering best practices (version control, CI, testing, docs).
- Troubleshoot pipeline failures and implement sustainable fixes to ensure data availability and system uptime.
- Build and support BI models and dashboards in Metabase/Tableau/Looker for consistent reporting.
- Collaborate with marketing, data scientists and analysts to align data models with campaign and business goals.
- Identify and implement workflow improvements to increase analyst productivity and reduce manual effort.
Requirements:
- Bachelor's or Master's in CS, Data Science, Statistics or related field.
- 2+ years experience as an Analytics/Data Engineer or Software Engineer, ideally in marketing or martech.
- Strong SQL and familiarity with Python for automation and data manipulation.
- Hands-on experience with ETL/ELT tooling and data warehousing architectures.
- Experience with BI tools (Metabase, Tableau, Looker) and strong business acumen.
- Good communication, collaboration and problem-solving skills; comfortable working across teams.