Data Engineer (hands on)

Michael Page
Madrid, Spain
17 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Google AdWords User Authentication Extract Transform Load (ETL) Data Warehousing Google Analytics Systems Integration Hubspot Restful APIs Pagination Data Pipelines

Job description

  • A leading self-storage provider in Spain (multinational company)
  • Data Engineer role for a temporary project

Our client is a self-storage company specializing in the rental of storage units, mini warehouses, and storage solutions for both individuals and businesses. The company operates primarily in Spain and is part of a multinational Group, a pan-European self-storage platform.

  • Proven experience designing and building ETL/ELT pipelines to integrate data into a central Data Warehouse.
  • Strong knowledge of REST API integrations, including authentication, pagination, rate limits, and error handling.
  • Experience implementing incremental loads, upserts, scheduling, and automated data workflows.
  • Hands-on experience integrating and modelling data from GA4, Google Ads, and Meta Ads platforms.
  • Experience connecting CRM systems (e.g., HubSpot) and telephony platforms for sales performance analysis.
  • Ability to define data models and business metrics in collaboration with Marketing and Sales stakeholders.
  • Strong focus on data quality, pipeline monitoring, and comprehensive technical documentation.

Opportunity for career progression.

Requirements

  • Proven experience designing and building ETL/ELT pipelines to integrate data into a central Data Warehouse.
  • Strong knowledge of REST API integrations, including authentication, pagination, rate limits, and error handling.
  • Experience implementing incremental loads, upserts, scheduling, and automated data workflows.
  • Hands-on experience integrating and modelling data from GA4, Google Ads, and Meta Ads platforms.
  • Experience connecting CRM systems (e.g., HubSpot) and telephony platforms for sales performance analysis.
  • Ability to define data models and business metrics in collaboration with Marketing and Sales stakeholders.
  • Strong focus on data quality, pipeline monitoring, and comprehensive technical documentation.

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