Senior Analytics Engineer

5d5 days ago

TQG

Hamburg, DE · Full-time · €70,000 – €95,000

About this role

Join the Business Insights team within the Digital Department at The Quality Group. As a Senior Analytics Engineer, help shape how data is used across the organization. Combine strong technical skills with business needs to build the data foundation for better decisions.

Focus on analytics engineering: structuring, transforming, and scaling data to enable insights. Work closely with stakeholders, Analytics Consultants, and the DWH team. Translate business requirements into robust, reusable data models for scalable solutions.

Ensure data is consistent, reliable, and ready to drive decisions organization-wide. Occasionally contribute to consulting tasks like stakeholder communication or dashboard development in Tableau or Databricks. Thrive in a small, highly collaborative team that flexibly supports each other.

Join a high-performing company with diverse, inclusive culture and over 1,200 employees. Combine passion for sports nutrition and healthy foods with cutting-edge technology, production, and logistics. Enjoy strong team spirit in a fast-growing environment.

Requirements

2+ years of experience in analytics engineering, data analytics, or similar role
Strong SQL skills and experience with modern transformation tools (e.g. dbt)
Solid understanding of data modeling and data warehouse concepts
Experience implementing business logic and KPIs in data models
Familiar with version control (e.g. Git) and collaborative workflows (e.g. pull requests, code reviews)
Ability to translate business needs into scalable technical solutions
Structured, independent, and solution-oriented work approach
Excellent German and very good English skills

Responsibilities

Build and evolve data models and marts (e.g. with dbt) to enable scalable analytics
Translate business requirements into clean, reusable data structures
Implement and maintain KPI logic in the data layer with Analytics Consulting
Ensure data quality through testing, validation, and monitoring
Define and enforce modeling standards and best practices
Transform and enrich DWH data into business-ready datasets
Structure and support ad-hoc analytical requests requiring data modeling
Act as key interface between stakeholders, Analytics Consulting, and DWH team