(Senior) Analytics Engineer - Marketing (d/f/m)

(Senior) Analytics Engineer - Marketing (d/f/m) OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. THE OPPORTUNITY: As a (Senior) Analytics Engineer at Taxfix, your mission is to lead the design and development of robust, scalable data models that power our analytical applications. You will transform raw data into actionable insights, empowering our teams to make informed decisions. While you will own the data models within your domain, you will also help shape the broader evolution of Analytics Engineering at Taxfix. Your specific challenge is to build and enhance our Marketing Measurement capabilities supporting various markets and products. You will collaborate closely with MarTech and Marketing teams to unify these capabilities and integrate them with our central solutions. Your work will directly influence marketing strategy and budget allocation, enabling Taxfix to acquire new customers efficiently. YOUR TEAM: Our Data Analytics teams at Taxfix are domain-focused. You will join our Marketing Analytics team, working closely with Marketing across multiple brands. Our Analytics Engineers operate in a decentralized way within their teams but come together through the Analytics Engineering Guild, where we share best practices and solve problems collaboratively. Our tech stack includes Snowflake, dbt Cloud, Looker, Segment.io http://Segment.io, Singular, Airbyte, Airflow, Claude Code and other tools. We are looking for a pragmatic problem-solver who thrives on getting things done while maintaining a keen eye for detail. You approach challenges with precision and care, ensuring that your solutions are not only effective but also robust and scalable. You should be comfortable advocating for data modeling best practices and helping us continuously improve our data ecosystem. YOUR RESPONSIBILITIES AND DECISIONS: -  Build trusted marketing measurement foundations: design and evolve scalable dimensional models for marketing performance across markets and products, aligned with tracking, attribution, and privacy constraints. - Ship production-grade dbt pipelines: develop and optimize dbt models with strong engineering hygiene (documentation, modularity, version control) and keep costs and performance in check. - Ensure data reliability: implement tests and monitoring (freshness, volume, schema, reconciliation), and drive fast, pragmatic resolution of data issues. - Enable self-serve analytics: build and maintain Looker Explores (and a small set of key dashboards when needed) so teams can answer questions with confidence. - Own delivery end-to-end: scope problems with stakeholders, translate them into data products, deliver iteratively, and drive adoption through clear definitions and enablement. - Raise the bar across Analytics Engineering: contribute to standards via the Analytics Engineering Guild through patterns, reviews, and shared best practices. - Use and improve AI-assisted workflows: leverage tools like Claude Code and agentic approaches to accelerate modeling, testing, documentation, and debugging while maintaining high quality and reproducibility. YOUR PROFILE: -  Experience level: you’re a strong mid-level or senior Analytics Engineer (typically 2+ years relevant experience), and you can independently deliver high-quality analytical data products. - SQL + modeling: advanced S ... (truncated, view full listing at source)