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# Analytics Engineer

- **Company:** SIX Group
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Query Performance, Microsoft Azure, Program Optimization, Data Files, Power BI, Databricks
- **Published:** July 2, 2026
- **Apply:** https://www.jobleads.com/es/job/e8df18c2db850ab58bc921efefff3630f

## About the Role

* 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.

## Description

* 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

 * 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.
 * 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.


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