Analytics Engineer

SIX Group Services Ltd.; Las Rozas de Madrid; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Flexible Work Models

Personal Development

Agile Working Methods

Job summary

SIX Group Services Ltd. is seeking an Analytics Engineer to bridge business needs with data delivery. 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 for decision-making across the organisation. You will collaborate with stakeholders to understand objectives, define KPIs, and build

Qualifications

• 4+ years of analytics engineering, BI, data analysis or similar experience.
• Ability to translate business needs into precise data requirements and data models.
• Experience with BI and data visualisation tools (Databricks Dashboards or Power BI) and semantic modelling.

Responsibilities

• Support an international analytics environment serving 14+ teams and 600+ users with reliable data products.
• Translate objectives and needs into analytical requirements and data models.
• Define metrics, KPIs and data logic; design and maintain datasets and semantic models using SQL.
• Develop and maintain dashboards and reports; collaborate with data engineers to integrate data and ensure data quality.
• Document data models, metrics, transformation logic and lineage; contribute to governance and best practices.

Skills

SQL

Databricks

Data Modelling

Business Intelligence

Python

Tools

dbt

Power BI

Databricks

Job description

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BME - Bolsas y Mercados Españoles - drives the transformation of financial markets and belongs to SIX, the third largest exchange group in Europe.

What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.

Madrid, Warsaw | Working from home up to 40% | Reference 7590

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.

Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.

What We Offer

Flexible Work Models
We trust our employees and offer a work environment that is well-balanced, productive and fosters success.

Personal Development
You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering.

Agile Working Methods
Whether through scrum or design thinking,
we solve exciting tasks together in teams.