About The TeamKiloverse is the operational force that helps ventures grow — building the systems, teams, and infrastructure that turn ideas into scalable businesses. Behind every fast-growing product, there’s a group of people who think like owners, act fast, and execute with precision.Here, you’ll find people who want to break big in their careers — working side by side with entrepreneurs and founders to build ventures that redefine the health, wellness, beauty, or travel industries.Data team, as part of Kiloverse, the operational force behind every impactful Kilo solution, provides advanced data engineering, modelling and reporting solutions for the whole group.Currently, we are looking for an experienced analytics engineer to work on product data modelling and reporting to help scale the business even further.Get ready toEmploy GCP tools (dbt, Airflow and Looker) to enhance data quality, efficiency, and delivery of accurate and timely dataIdentify, investigate and solve data issues: data quality, data discrepancies,



missing dataContribute to the development and improvement of data solutionsLeverage the power of dbt for overcoming complex modelling problems with a focus on performance, robustness and scalabilityWork on prevention and alerting solutionsAdopt and refine our best practices e.G. naming convention, data modeling, and data quality testingCommunicate with cross-functional teams and non-technical stakeholders in a clear and structured mannerAssist and support other team members in the design, development, and implementation of data warehousing, reporting, and analytics solutionsTake ownership of tasks and initiativesWe expect you toHave proven SQL skills: ability to join and manipulate data of various types (String, Integer, JSON, Array), write parameterized scripts, debug SQL codeKnow ETL and warehousing conceptsHave strong communication skills: timely, clear, and consistent sharing of information, work progress, bottlenecks and findingsHave curious and

📌 Senior Analytics Engineer (Madrid)
🏢 Kilo
📍 Madrid