You work on diverse client projects and support the entire process from requirements analysis to the rollout of tailored data models and data strategies.
You develop and design high-quality data models as well as data-quality-oriented data architectures across the entire data value chain — from cloud platforms and data pipelines to BI reports and ML models.
You define, implement, and monitor data quality rules and metrics, as well as governance, validation, and control mechanisms.
You advise clients at the interface between business units and IT on sustainably improving data quality and on the use of AI with regard to quality and traceability.
You lead and facilitate workshops on data quality, artificial intelligence, and automation, flexibly switching between client interaction and technical implementation.
You automate data and quality processes and continuously develop your expertise and technical skills.

You have a degree (e.g., Computer Science, Information Systems, or equivalent) and several years of project experience in data modeling and data architectures — ideally with a focus on data quality in the context of AI.
You have strong knowledge of database technologies and the Microsoft ecosystem, and experience with platforms such as Microsoft Fabric, Databricks, or Azure Synapse.
You are proficient in Python and SQL and have experience developing data pipelines and ETL processes, ideally with tools like dbt or orchestration solutions.
You bring practical experience in cloud environments and in automating data and quality processes.
You demonstrate strong communication and facilitation skills, analytical and structured thinking, and present confidently in consulting settings.
You work independently and as part of a team, are open to technology and eager to learn, and have excellent German and English skills (at least C1).

Remote work
A work environment with significant ownership, trust, and genuine opportunities to shape the company
Individual development through learning time budgets and active knowledge sharing
Regular team and sports events — from digital lunches to an annual retreat
Purposeful projects that provide our clients with transparency and confidence in decision-making
Flexible working hours for a healthy work–life balance
Diverse training and development opportunities
Modern hardware and well-equipped workstations

Data & AI Consultant, Data Quality

Key skills