Marketing Analytics Engineer (dbt)

About the opportunity

As a Marketing Analytics Engineer, you'll be a key part of the Marketing Data team, building the data foundations that enable data-driven decisions and contribute to the business growth of N26. You'll work closely with marketing data scientists and analysts, as well as the wider data community, to develop data pipelines and models that optimize marketing programs. You are here to establish a data-mindset and thereby to foster a culture of continuous learning and improvement.

You’ll be using the following tech stack

Our cloud provider is AWS, and we use lots of different tools and services they provide

Redshift is our main Data Warehouse and the main tool you’ll be interacting with

For our data transformations, we use DBT

Our business intelligence tool for data visualizations and dashboarding is Metabase

We use Python as our go-to language for any automations and more complex pieces of software.

In this role, you will

Provide clean data models: Design data models in dbt to build a single source of truth for all marketing data. You will champion company-wide data literacy by delivering self-service, production-ready data layers that empower analysts and business leaders to answer their own complex questions.

Build data products: You'll use software engineering best practices like version control, continuous integration, testing, and documentation to ensure high quality and scalability in our data pipelines, preventing corrupted data from entering downstream machine learning models.

Improve workflow efficiency: Identify opportunities to optimize how analysts and business users work with data, streamlining their processes and saving time.

System Troubleshooting: Diagnose and resolve complex issues within the transformation pipeline, providing sustainable technical solutions to ensure system uptime.

BI Infrastructure Support: Build and manage sophisticated data models within our BI tools (e.g., Metabase, QuickSight) to drive consiste