(Senior) Analytics Engineer
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Requirements
• 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. • 2+ years • SQL + modeling: advanced SQL and strong dimensional modeling skills. • SQL + modeling: • dbt expertise: hands-on experience with dbt (Cloud or Core), including testing, documentation, and production workflows. • dbt expertise: • Data quality mindset: proven ability to design practical monitoring and quality checks that catch issues early and make failures actionable. • Data quality mindset: • Marketing measurement knowledge: experience in a B2C environment across web and app, with comfort around tracking concepts, attribution, and privacy implications. • Marketing measurement knowledge: • Analytics consumption: experience enabling self-serve via a BI tool (ideally Looker), building usable semantic layers/explores. • Analytics consumption: • AI/agentic workflows: proven experience using LLMs/coding agents/agentic workflows in daily engineering work, with strong validation habits and quality guardrails. • AI/agentic workflows: • Collaboration: strong communication skills and stakeholder management, able to explain trade-offs and align on priorities. • Collaboration:
Responsibilities
• 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.
Benefits
• A chance to do meaningful, people-centric work with an international team of passionate professionals. • Holistic well-being with free mental health coaching sessions and yoga. • A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. • Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. • 30 annual vacation days and flexible working hours. • Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. • Plenty of opportunities to socialise as a team. In addition to internal tech meetups, our international team hosts regular get-togethers—virtually and in person when possible. • Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. • Have a four-legged friend in your life? We’re happy to have dogs join us in the office. • Excited? So are we. Learn more about Team Taxfix on our blog and get a glimpse of our culture.
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