SIX
- BME is looking for an Analytics Engineer to bridge business needs and technical data delivery. In this role, you will work in a cross-functional environment to translate analytical requirements into trusted data models, metrics and reporting solutions. You will combine business analysis, data modelling and engineering practices to make high-quality data accessible and usable for decision-making across the organisation. What You Will Do
• Support an international analytics environment serving more than 14 internal analytics teams and over 600 users with reliable, reusable and well-governed analytical data products.
• Collaborate with business stakeholders to understand objectives, processes and decision-making needs, and translate them into clear analytical, functional and data requirements.
• Define business metrics, KPIs and data logic, and design, build and maintain curated datasets, reusable data models and semantic models using SQL and modern data transformation practices.
• Develop and maintain dashboards and reports, working with data engineers to integrate source data, resolve data quality issues and deliver scalable solutions aligned with platform standards.
• Document data models, metric definitions, transformation logic and lineage, and contribute to governance, standards and continuous improvement for analytics engineering and self-service analytics.



What You Bring
• 4+ years of practical experience in analytics engineering, business intelligence, data analysis, data modelling or a comparable role.
• Ability to analyse business processes and stakeholder needs and translate them into precise data requirements, transformation rules and practical analytical solutions.
• Experience with business intelligence and data visualisation tools, preferably Databricks Dashboards or cloud-based Power BI, including semantic modelling, dashboard design and KPI definition.
• Strong SQL skills and hands-on experience transforming large datasets into reliable analytical and dimensional data models; experience with Databricks, Lakehouse platforms, dbt or Python is an advantage.
• Good understanding of data quality, testing, documentation, lineage, governance, version control and structured development practices.
• Ability to structure ambiguous problems independently and work effectively with business and technical stakeholders, supported by strong analytical, communication and presentation skills, a proactive learning mindset and fluency in written and spoken English.
• We value diversity, and the enrichment it brings to our company. We look forward to all applications, regardless of personal background.

📌 Analytics Engineer (Las Rozas de Madrid)
🏢 BME | Bolsas y Mercados Españoles
📍 Las Rozas de Madrid