Senior Analytics Engineer

SIX Group Services Ltd.; Madrid; Híbrido; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A financial services company in Madrid is seeking an experienced Analytics Engineer to enhance data analytics capabilities. The role involves mastering datasets, supporting users in building dashboards, and optimizing performance on Azure, Databricks, and Power BI. Ideal candidates have a strong background in data analytics, excellent communication skills for training users, and experience with modern data tools. This position offers flexible work arrangements and opportunities for personal development.

Servicios

Flexible Work Models

Personal Development Opportunities

Agile Working Methods

Formación

• Strong experience in Azure and Databricks with solid development practices.
• Experience in preparing data for analytics using modern patterns.
• Clear communication skills to translate technical concepts for business users.

Responsabilidades

• Build and maintain operational datasets for usability.
• Curate and prepare new data sources for self-service use.
• Provide guidance and training to users on dashboards and analytics.

Conocimientos

Azure

Databricks

SQL

Python

Power BI

Data modeling

User-focused training

Educación

Degree in a technical or quantitative field

Herramientas

dbt

Descripción del empleo

SIX drives the transformation of financial markets.

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 7655

Do you love turning raw data into powerful, easy-to-use analytics that help people work smarter? Are you passionate about enabling others to self-serve insights, mastering modern data tools, and bringing engineering discipline into the analytics space? Then our Analytics Engineering & Self-Serve team wants to hear from you! We are a curious, collaborative, and impact-driven group focused on building a trusted analytics foundation and empowering teams across the organization to explore data with confidence.

In this role, you’ll help shape a modern self‑service ecosystem on Azure, Databricks, dbt, and Power BI. You will work closely with business analysts, data engineers, product teams, and power users—supporting them, coaching them, and helping them unlock the full value of our data. If you’re excited about scaling data literacy, improving platform usability, and applying engineering best practices to analytics, this is the place for you.

What You Will Do

• Dataset mastery: Build a deep understanding of our operational and content datasets and use this knowledge to shape analysis‑ready structures that improve usability across Azure, Databricks, Power BI, and complementary tools including dbt.
• Asset curation & ingestion ownership: Curate and maintain high‑quality, reusable datasets and analytical components while handling the ingestion and preparation of new data sources, ensuring they are structured, documented, and ready for self‑service use across the organization.
• User support and enablement: Provide hands‑on guidance to business users as they build their own dashboards, reports, and analyses; deliver targeted training and documentation that strengthen their platform skills and analytical autonomy.
• Platform optimization: Monitor and refine query performance, storage structures, and workspace configurations across Databricks, Azure, and Power BI to ensure a smooth, cost‑efficient, and scalable self‑service experience for all users.
• Strategic analytics delivery: Handle high‑complexity analytical builds when business users cannot complete them independently, using these cases to improve platform capabilities and inform future training and enablement priorities.

What You Bring

• Technical foundation: Strong experience working with Azure, Databricks, SQL, Python and Power BI, with the ability to build reliable analytical structures and apply solid development practices across the self‑service platform. Exposure to transformation tools such as dbt or similar frameworks is a plus.
• Data modeling & preparation: A solid background in preparing and shaping data for analytics using modern patterns such as the medallion architecture, including ingesting new data sources and ensuring they meet quality, structure, and usability expectations.
• User‑focused enablement: Clear communication skills and the ability to translate technical concepts into practical guidance for business users, including delivering training sessions and offering direct hands‑on support as they build their own dashboards and analyses.
• Quality & maintainability mindset: Experience applying testing, documentation, version control, and lightweight validation routines that improve data reliability, reduce rework, and keep analytical assets maintainable over time.
• Platform and performance awareness: Practical understanding of how to monitor, tune, and configure analytics environments—particularly in Databricks and Power BI—to ensure smooth performance, good user experience, and cost‑efficient operations.
• Education & domain experience: A degree in a technical or quantitative field—or equivalent professional experience—combined with fluent English and, ideally, some familiarity with financial or market‑related datasets.

If you have any questions, check out our FAQ page or call Yuliya Stoyko at [phone].

For this vacancy we only accept direct applications.

Diversity is important to us. We are looking to receive 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.