Senior Marketing Analytics Engineer (Remote)

Jobgether SRL; Ireland; Remote; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Remote work

Long-term engagement

Technical impact

Business exposure

Professional development

Job summary

Partner Company in Ireland seeks an experienced Senior Analytics Engineer – Marketing Data to design and optimize data models supporting marketing analytics and reporting.

You will work with Google Analytics data, Snowflake, SQL, and Python to build reliable data pipelines, ensuring data quality and availability for business decision-making. Collaborate with stakeholders, embrace Git-based workflows, and drive continuous improvement in a remote environment.

Qualifications

• 5+ years of relevant professional experience in analytics engineering, data engineering, marketing data, or a closely related field.
• Hands-on professional experience working with Google Analytics data in a business or production environment.
• Professional experience supporting data initiatives within a retail or e-commerce environment.
• Advanced SQL skills, including experience designing fit-for-purpose data models, transformations, and materializations in Snowflake.
• Working proficiency in Python, with the ability to read, evaluate, debug, troubleshoot, and improve code written by others.
• Experience interpreting API documentation and mapping API endpoints, objects, fields, and identifiers to business and technical requirements.
• Practical experience with Git and version-controlled development workflows, including code reviews, testing, and CI/CD.
• Strong understanding of data quality and validation techniques across different stages of a data pipeline.
• Excellent stakeholder management and requirements-gathering skills, with the ability to bring structure to ambiguous discussions and turn business needs into clear technical solutions.
• Exceptional written and verbal communication skills in English, with the ability to communicate technical concepts clearly to both technical and non-technical audiences.
• A proactive, analytical, and detail-oriented mindset, combined with strong problem-solving skills and the ability to work effectively in a remote environment.

Responsibilities

• Design, develop, and maintain scalable data models, transformations, and materializations in Snowflake to support marketing analytics and business reporting.
• Work hands-on with Google Analytics data in a production environment, ensuring that marketing data is accurately structured and readily available for analysis.
• Develop, review, troubleshoot, and optimize SQL queries and Python code to improve data processing, reliability, and performance.
• Analyze API documentation and translate endpoints, objects, fields, and identifiers into practical data integration solutions aligned with business requirements.
• Implement and maintain data validation practices across multiple stages of data pipelines to ensure data integrity, consistency, and accuracy.
• Apply Git-based development workflows, including version control, code reviews, testing, and CI/CD practices, to maintain high engineering standards.
• Collaborate with stakeholders to gather requirements, clarify ambiguous business needs, structure discussions, and translate findings into precise, actionable technical specifications.
• Identify opportunities to improve data models, transformation logic, pipeline reliability, and overall analytics engineering processes.

Skills

Advanced SQL

Python

Google Analytics data experience

Git and CI/CD

Stakeholder management

English communication

Tools

Snowflake

APIs

Git

CI/CD tooling

Job description

Partner Company in Ireland seeks an experienced Senior Analytics Engineer – Marketing Data to design and optimize data models supporting marketing analytics and reporting.

You will work with Google Analytics data, Snowflake, SQL, and Python to build reliable data pipelines, ensuring data quality and availability for business decision-making. Collaborate with stakeholders, embrace Git-based workflows, and drive continuous improvement in a remote environment.