12 ago
|
BME | Bolsas y Mercados Españoles
|
Madrid
12 ago
BME | Bolsas y Mercados Españoles
Madrid
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‑Service 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.
Consulte la descripción del puesto a continuación. Si confÃa en que tiene las habilidades y la experiencia adecuadas, envÃe su solicitud hoy mismo.
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
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- 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
📌 Senior Analytics Engineer (Madrid)
🏢 BME | Bolsas y Mercados Españoles
📍 Madrid