You take end-to-end responsibility for our Data Analytics infrastructure on GCP.
You actively design data pipelines, the data warehouse, analytics models and BI solutions.
You work with a modern tech stack including GCP, dbt, Python, Terraform, Airbyte and Power BI.
You develop and maintain our data infrastructure and ensure that our data pipelines run reliably, with high performance and scalability.
You build robust data models and continuously maintain them so they form the basis for our KPI logic, reporting and data-driven decisions.
You are responsible for clean data quality — through automated data-quality checks, tests and validated processes you ensure a single source of truth.
In close collaboration with Finance and business teams you build dashboards and reports that deliver real value and create transparency.
As a role model for data-driven decision-making you set standards, inspire colleagues and help RECUP make better and more effective decisions.
You continuously develop our self-service analytics landscape and enable teams to independently access a scalable, reliable and modern data foundation.

Minimum 3 years of experience in Data Engineering or Analytics Engineering
Solid experience with data warehousing and decision-support frameworks (e.g., Airbyte, Power BI, Looker, Tableau)
Strong knowledge of the Google ecosystem, e.g., GCP (BigQuery, Cloud Functions), Google Analytics, Optimize or Google Tag Manager
Confident SQL and Python skills to implement data models, pipelines and automations efficiently
Structured and independent working style with a strong commitment to quality
Professional and composed presence, combined with the ability to explain complex topics clearly
Entrepreneurial mindset: you understand business contexts, act in a data
and number-driven way, optimize processes and automate where it makes sense
Affinity for AI tools and modern technologies and enthusiasm for integrating them into daily work
Very good German (at least C1 level) and English skills, both written and spoken

Responsible and meaningful work with a real positive impact on society.
A fast-growing, dynamic company that offers plenty of room for development and shaping your role, as well as flexible working models.
Ample scope for autonomous work and personal initiative.
A personal, positive and professional working atmosphere and an open feedback culture that allows everyone to make mistakes — because that’s part of learning.

Analytics Engineer

Key skills