About The Team
Bioma
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The analytics team builds and maintains the analytics engineering layer that powers reporting, experimentation, and decision-making across the company. The team focuses on creating clean, scalable data models, well-defined metrics, and reliable tracking foundations using dbt and BigQuery.
Get ready to
Build and maintain a scalable analytics engineering layer in dbt, including clean models, marts, shared dimensions, and metric-ready tables
Improve tracking and instrumentation across domains, and identify new opportunities where data can add value. Implement and monitor data quality to ensure accuracy, completeness, and consistency
Build data products when needed (e.g., marketing performance datasets, customer lifecycle models, cohorting, experimentation-ready tables)
Continuously improve workflows with best practices (naming conventions, data modeling standards, data quality testing, templates, and CI/CD)
Communicate clearly with cross-functional teams and non-technical stakeholders
Support team members in designing, developing, and implementing data warehousing, reporting, and analytics solutions
We expect you to
Have 3+ years of experience in analytics engineering, BI engineering, or data engineering, with a strong focus on data modeling
Have strong SQL skills and use Python for analytics workflows and automation
Have hands-on experience with dbt, BigQuery, Looker, and CI/CD practices
Have experience with marketing and website tracking concepts (events, attribution, funnels) — a plus
Have strong problem-solving and critical thinking skills: able to challenge unclear requests, design robust metrics, and communicate trade-offs
Have experience setting up or scaling data quality practices
Be able to work with stakeholders, write clear documentation, and align teams on definitions
Have a curious, growth-oriented mindse
📌 Senior Analytics Engineer (Madrid)
🏢 Kilo
📍 Madrid