Analytics Engineer

apartmentSpendesk placeBarcelona calendar_month 

Experteer Overview

As Analytics Engineer at Spendesk, you translate business needs into robust data models and analytics assets. You will transform raw data into business-ready datasets, build dimensional models, and enable self-service analytics for cross-functional teams.
You’ll bridge data engineering and analysis to ensure scalable, high-quality data that supports data-driven decisions. This role offers a chance to shape analytics capabilities in a fast-growing fintech environment with a strong emphasis on data quality and collaboration.

You will work closely with Data Engineers, Data Scientists, and product/business stakeholders to drive impact.

Compensaciones / Beneficios
  • Transform raw data into business-ready datasets using dbt and the modern stack
  • Build and maintain dimensional models for BI and product needs
  • Implement business logic in the data transformation layer
  • Create reusable analytics assets for multiple use cases
  • Ensure performance, maintainability, and scalability of data models
  • Design and implement data quality tests and monitoring
  • Develop data validation rules and data quality SLAs
  • Collaborate with stakeholders to resolve data quality issues at the source
  • Enable self-service analytics with well-documented data models
  • Translate analytics requirements into technical solutions with stakeholders
  • Define metrics and ensure consistency across the organization
  • Document data and maintain catalogs; provide training on analytics tools
  • Deliver analysis-ready datasets for analysts and data scientists
  • Communicate technical concepts effectively to both technical and business audiences
Responsabilidades
  • 3-5 years in analytics engineering, data analytics, or related roles
  • Proven track record building data models and transformations in production
  • Experience translating requirements into technical solutions with business stakeholders
  • Strong SQL expertise
  • Hands-on with dbt for transformation and modeling
  • Experience with Snowflake (cloud data warehouse)
  • Experience with data quality testing frameworks (dbt tests)
  • Proficiency with Git/GitHub
  • Knowledge of dimensional modeling principles
  • Experience with BI/analytics concepts and self-service analytics
  • Ability to document data and maintain data catalogs
Requisitos principales
  • Flexible on-site and remote policy
  • Lunch 60% funded by Spendesk
  • Alan Premium health insurance
  • Gymlib fitness pass
  • Moka.care for wellbeing
  • Latest Apple equipment
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