Marketing Tech Engineer; m​/f​/d

Our significantly growing Data, AI & Mar Tech 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!

• Connect and maintain marketing data sources (e.g. Funnel.io, Apps Flyer, Google Ads, Apple Search Ads, Meta, affiliates) in Big Query
• 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

• Connect and maintain marketing data sources (e.g. Funnel.io, Apps Flyer, Google Ads, Apple Search Ads, Meta, affiliates) in Big Query
• 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

• 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 Big Query 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 Apps Flyer
• 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

Among other things, the Smartbroker Group operates Smartbroker+ - a multi-award-winning online broker that is the only provider in Germany to combine the extensive product range of traditional brokers with the extremely favourable conditions of neobrokers. The portfolio also includes the digital fund broker SMARTBROKER Finance (formerly: ), while the Group also operates four high-reach stock market portals (, ,  and ).

With several hundred…