Analytics Engineer (Madrid)

Analytics Engineer (Madrid)

16 oct
|
Spendesk
|
Madrid

16 oct

Spendesk

Madrid

Join the application process for theAnalytics Engineerrole atSpendesk .Transform data into business impactSpendesk is seeking a skilled Analytics Engineer to join our growing data organization. Reporting to the Head of Data, you will be responsible for transforming raw data into business-ready datasets, building dimensional models, and enabling self‑service analytics across the organization.About the roleAs an Analytics Engineer, you will bridge the gap between data engineering and data analysis/business teams by creating clean, documented, and reusable analytics assets. You’ll work closely with Data Engineers, Data Scientists, and business stakeholders to implement data quality testing, build dimensional models, and enable data‑driven decision making throughout Spendesk. This role requires an engineer who can translate business requirements into robust data models, apply best practices for data transformation, and create analytics solutions that scale with our business growth.Our tech environmentdbt (core and Cloud)SnowflakeLooker (original), Metabase,



and Amplitude for product analyticsAirbyte (cloud), Fivetran, Airflow, Hightouch, Segment for ingestion/exposureGitHub for versioning, CI/CD, and Synq for observabilityKey ResponsibilitiesTransform raw data into business‑ready datasets using dbt and modern data stack tools.Build and maintain dimensional models that serve BI and product needs.Implement business logic and calculations in the data transformation layer.Create reusable analytics assets that can be leveraged across multiple use cases.Ensure data models follow best practices for performance, maintainability, and scalability.Implement comprehensive data quality testing using dbt tests.Develop and maintain data quality monitoring and alerting systems.Create data validation rules that catch issues before they impact business decisions.Establish data quality metrics and SLAs for analytics datasets.Collaborate with all stakeholders to resolve data quality issues

📌 Analytics Engineer (Madrid)
🏢 Spendesk
📍 Madrid

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