Analytics Engineer

BME | Bolsas y Mercados Españoles; Las Rozas de Madrid; On-site; EUR 55,000 - 75,000; Full time

Job summary

SIX - BME is seeking an Analytics Engineer to bridge business needs and data delivery. You will translate analytical requirements into trusted data models, metrics and reporting solutions to support decision-making across the organisation.

You will collaborate with international analytics teams, define KPIs, build curated datasets, and develop dashboards using SQL, Databricks, and Power BI, while ensuring data governance and quality throughout the data lifecycle.

Qualifications

• 4+ years of practical experience in analytics engineering or similar role.
• Ability to translate stakeholder needs into data requirements and rules.
• Experience with BI and data visualization tools (Databricks Dashboards or Power BI).
• Strong SQL and data modelling experience with large datasets.
• Knowledge of data quality, governance and documentation practices.

Responsibilities

• Support an international analytics environment used by multiple teams.
• Translate objectives into analytical, functional and data requirements.
• Define metrics, KPIs, data logic and design data models.
• Develop and maintain dashboards and reports with engineers.
• Document models, transformations, lineage and governance improvements.

Skills

Analytics engineering

SQL skills

Data modelling

Data governance

Business intelligence

Dashboard design

Tools

Databricks

dbt

Python

Power BI

Job description

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.