Senior Analytics Engineer - Marketing Data

Jobgether SRL; Osterreich; Remote; PEN 345,000 - 460,000; Full time

Benefits offered by this job

Remote work

Long-term engagement

Technical impact

Business exposure

Professional development

Job summary

Jobgether SRL is seeking a Senior Analytics Engineer – Marketing Data to design and optimize data models in Snowflake, focusing on marketing analytics and business reporting. The role involves hands-on work with Google Analytics data, SQL, Python, and API integrations.

You will translate business requirements into scalable data solutions, ensure data quality across the pipeline, and collaborate with stakeholders in a remote, Austrian-based environment.

Qualifications

• 5+ years of relevant experience in analytics/data engineering or marketing data.
• Hands-on experience with Google Analytics data in a production environment.
• Experience supporting data initiatives in retail/e-commerce.
• Advanced SQL skills for modeling, transformations, and materializations in Snowflake.
• Proficiency in Python for reading, debugging, and improving code.
• Experience mapping API endpoints to business requirements.
• Experience with Git and CI/CD workflows.
• Strong data quality and validation methods across data pipelines.
• Excellent English communication and stakeholder-management skills.

Responsibilities

• Design, develop, and maintain scalable Snowflake data models, transformations, and materializations for marketing analytics and reporting.
• Work directly with Google Analytics data in production to ensure accurate structure and availability for analysis.
• Optimize SQL queries and Python code to improve data processing reliability and performance.
• Translate API documentation into practical data integration solutions aligned with business needs.
• Implement data validation across pipeline stages to ensure integrity and consistency.
• Apply Git-based development workflows, including reviews, testing, and CI/CD for quality control.
• Collaborate with stakeholders to gather requirements and translate them into precise technical specs.
• Identify opportunities to improve data models, transform logic, and pipeline reliability.

Skills

Google Analytics

Snowflake

SQL

Python

Git

CI/CD

Data quality

Stakeholder management

English communication

Tools

Snowflake

Google Analytics

Job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Analytics Engineer – Marketing Data based in Austria.

Join a data-driven environment where analytics engineering plays a key role in transforming marketing data into actionable business insights.
In this role, you will design and optimize data models that support marketing analytics and business decision-making.
You will work extensively with Google Analytics data, Snowflake, SQL, and Python to build reliable, scalable data solutions.
Partnering with business stakeholders, you will translate complex requirements into clear technical deliverables.
You will help ensure data quality, consistency, and accuracy throughout the entire data pipeline.
Working within a collaborative, version-controlled development environment, you will contribute to robust engineering practices and continuous improvement.
This opportunity is ideal for an experienced analytics engineer who combines strong technical expertise with business understanding and a proactive, problem-solving mindset.

Accountabilities

• 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.

Requirements

• At least 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. Academic coursework, certifications, or self-directed projects alone do not meet this requirement.
• 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.

Benefits

• Remote work: Work remotely from Anywhere, offering flexibility in your working environment.
• Long-term engagement: An opportunity to contribute to ongoing data engineering and marketing analytics initiatives through a long-term contract.
• Technical impact: Work with modern data technologies, including Snowflake, SQL, Python, Google Analytics, and API integrations.
• Business exposure: Collaborate with stakeholders to solve meaningful business challenges and support data-informed decision-making.
• Professional development: Strengthen your expertise in analytics engineering, data modeling, marketing data, and scalable data pipeline development.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.