Analytics Engineer at N26, based in Berlin, Germany, builds clean data models and data pipelines to enable data-driven decision making across product teams. The role sits in a central analytics engineering team and involves collaborating with data engineers, analysts, and business stakeholders to ensure data models are accurate, relevant, and up to date, while promoting a data minded culture. Responsibilities include transforming, testing, and deploying data projects with software engineering best practices such as version control, CI, testing, documentation, and clean coding; improving analysts workflows; creating tests to guarantee data quality; troubleshooting issues in the transformation pipeline; and building and managing data models for BI tools. You will actively participate in whiteboard sessions to ideate new services and tools. Requirements include 2+ years of experience in data analytics, data engineering, software engineering, analytics engineering, or related fields; strong SQL and Python skills; experience with ETL/ELT, data modeling, and data warehousing; good communication, organizational and collaboration skills; familiarity with data visualization tools such as Metabase, Tableau, Looker, or similar; and strong business acumen. What’s in it for you includes career growth at one of Europe’s most talked-about disruptors; benefits such as personal development budget, work from home stipend, discounts for fitness and wellness memberships, language apps and public transportation; premium N26 banking subscriptions for you and a family member; additional annual le

Analytics Engineer at N26, based in Berlin, Germany, builds clean data models and data pipelines to enable data-driven decision making across product teams. The role sits in a central analytics engineering team and involves collaborating with data engineers, analysts, and business stakeholders to ensure data models are accurate, relevant, and up to date, while promoting a data minded culture. Responsibilities include transforming, testing, and deploying data projects with software engineering best practices such as version control, CI, testing, documentation, and clean coding; improving analysts workflows; creating tests to guarantee data quality; troubleshooting issues in the transformation pipeline; and building and managing data models for BI tools. You will actively participate in whiteboard sessions to ideate new services and tools. Requirements include 2+ years of experience in data analytics, data engineering, software engineering, analytics engineering, or related fields; strong SQL and Python skills; experience with ETL/ELT, data modeling, and data warehousing; good communication, organizational and collaboration skills; familiarity with data visualization tools such as Metabase, Tableau, Looker, or similar; and strong business acumen. What’s in it for you includes career growth at one of Europe’s most talked-about disruptors; benefits such as personal development budget, work from home stipend, discounts for fitness and wellness memberships, language apps and public transportation; premium N26 banking subscriptions for you and a family member; additional annual le