Data Engineer: ETL & Data Warehouse for Marketing Analytics

Michael Page; Madrid; On-site; EUR 40,000 - 64,000; Part time

Job summary

Michael Page is recruiting a Data Engineer for a temporary project with a leading self-storage provider in Spain. You will design and build ETL/ELT pipelines feeding a central Data Warehouse and lead REST API integrations across platforms.

You'll model data from GA4, Google Ads, and Meta Ads, connect CRM and telephony data for sales analytics, and define metrics with Marketing and Sales. A strong focus on data quality, monitoring, and documentation is essential.

Qualifications

• Proven experience designing and building ETL/ELT pipelines to centralize data.
• Strong knowledge of REST API integrations, auth, pagination, rate limits, and error handling.
• Experience with incremental loads, upserts, scheduling, and automated data workflows.
• Hands-on data integration from GA4, Google Ads, and Meta Ads platforms.
• Experience connecting CRM systems (HubSpot) and telephony platforms for sales analytics.
• Ability to define data models and metrics with Marketing and Sales stakeholders.
• Strong focus on data quality, pipeline monitoring, and documentation.

Responsibilities

• Design and maintain ETL/ELT pipelines feeding a central Data Warehouse.
• Integrate data from GA4, Google Ads, and Meta Ads into analytics models.
• Connect CRM and telephony platforms for sales performance analysis.
• Define data models and metrics with Marketing and Sales stakeholders.
• Ensure data quality, monitor pipelines, and document architectures.

Skills

ETL/ELT pipelines

REST API integrations

incremental loads

upserts

scheduling

automated data workflows

GA4 integration

Google Ads

Meta Ads

CRM integrations

data modeling

data quality

pipeline monitoring

technical documentation

Tools

HubSpot

GA4

Google Ads

Meta Ads

CRM systems

Telephony platforms

Job description

Michael Page is recruiting a Data Engineer for a temporary project with a leading self-storage provider in Spain. You will design and build ETL/ELT pipelines feeding a central Data Warehouse and lead REST API integrations across platforms.

You'll model data from GA4, Google Ads, and Meta Ads, connect CRM and telephony data for sales analytics, and define metrics with Marketing and Sales. A strong focus on data quality, monitoring, and documentation is essential.