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Transform data into business impact
Spendesk 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 role
As 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 environment

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- dbt (core and Cloud)
- Snowflake
- Looker (original), Metabase, and Amplitude for product analytics
- Airbyte (cloud), Fivetran, Airflow, Hightouch, Segment for ingestion/exposure
- GitHub for versioning, CI/CD, and Synq for observability

Key Responsibilities

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- Transform 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 th

📌 Analytics Engineer (Barcelona)
🏢 Spendesk
📍 Barcelona