Senior Analytics Engineer - Marketing Data (Remote)

Jobgether SRL; España; Remote; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Remote work from Anywhere

Long-term engagement

Technical impact

Business exposure

Professional development

Job summary

Jobgether SRL, on behalf of a partner company, seeks a Senior Analytics Engineer – Marketing Data in Spain. You will design data models, optimize Snowflake-based pipelines, and collaborate with stakeholders to translate marketing requirements into scalable data solutions.

You'll work with Google Analytics data, SQL, and Python in a remote-friendly environment, applying CI/CD practices and ensuring data quality across the pipeline while contributing to data-informed decision-making.

Qualifications

• 5+ years in analytics, data engineering, marketing data, or related field.
• Hands-on GA data experience in production environments.
• Retail/e-commerce data experience preferred.
• Strong SQL, Python, and data modeling skills.

Responsibilities

• Design, develop, and maintain scalable data models, transformations, and materializations in Snowflake for marketing analytics.
• Work hands-on with Google Analytics data in a production environment, ensuring accurate structuring for analysis.
• Develop, review, and optimize SQL queries and Python code for performance and reliability.
• Translate API documentation into practical data integration solutions aligned with business needs.

Skills

Advanced SQL

Python

Data modeling

Snowflake

Google Analytics data

Stakeholder management

Git & CI/CD

Tools

Snowflake

Google Analytics

API integrations

Job description

Jobgether SRL, on behalf of a partner company, seeks a Senior Analytics Engineer – Marketing Data in Spain. You will design data models, optimize Snowflake-based pipelines, and collaborate with stakeholders to translate marketing requirements into scalable data solutions.

You'll work with Google Analytics data, SQL, and Python in a remote-friendly environment, applying CI/CD practices and ensuring data quality across the pipeline while contributing to data-informed decision-making.