Marketing Tech Engineer (m/f/d)

Your mission Our significantly growing Data, AI & MarTech Department is looking for a Marketing Tech Engineer to own Smartbroker's marketing data end-to-end. Marketing invests across many channels and our four financial portals and needs reliable data to know what works. You build that foundation: from web, app and server-side tracking and marketing data sources to the dbt models behind attribution, campaign performance and activation. You work at the intersection of Marketing, Analytics, Product and our Data Platform team, in a regulated financial environment where data quality and privacy really matter. Your models directly shape how we steer marketing budget and growth. Join us and play a major role in promoting and enabling a truly data-driven marketing culture across the organisation!  Job description: Connect and maintain marketing data sources (e.g. Funnel.io, AppsFlyer, Google Ads, Apple Search Ads, Meta, affiliates) in BigQuery  Design, implement and maintain web, app and server-side tracking via Google Tag Manager, with consent and privacy built in  Build and own dbt models for campaigns, attribution and marketing performance, used for reporting and activation  Keep pipelines trustworthy through tests, data quality monitoring, documentation and code review in our data mono repo  Translate marketing needs into clear data requirements and align on priorities with Marketing, Analytics and Product  Troubleshoot data and tracking issues and share your knowledge with the team Your profile Degree in computer science, natural sciences, data science or a comparable field  Several years of experience in analytics engineering, data engineering or marketing/tracking engineering  Strong SQL and Python skills for data transformation, tooling and automation  Hands-on experience with dbt (models, tests, sources, docs) and BigQuery or a similar cloud warehouse  Practical experience with web and app tracking, especially server-side tracking via Google Tag Manager   Experience with marketing data: ad platforms, marketing connectors and attribution/MMP tools such as AppsFlyer  Good understanding of legal requirements for tracking and data protection (GDPR, consent management)  Familiarity with orchestration (e.g. Airflow) and software engineering best practices: Git, code review, CI/CD, testing and monitoring  Experience with GCP services (Pub/Sub, Cloud Run) or Firebase is a plus  Proactive, solution-oriented mindset and a strong sense of ownership  Clear communication with technical and non-technical colleagues; excellent English, German is a plus  Interest in finance and fintech, team player with a sense of humour