Germany
ALTEN
Dataciders GmbH
Data & AI Consultant (m/f/d) Data Quality
Germany
Dortmund, North Rhine-Westphalia, Germany · Berlin, Germany · Hamburg, Germany
PythonSQL
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Brief Description
Is high data quality the foundation for reliable analyses, functioning automation, and the successful use of Artificial Intelligence for you? Do you want to support clients in designing data architectures that enable data to be used consistently, comprehensibly, validly, and trustworthily? Are you looking for a role as a Data & AI Consultant where you focus on data quality to ensure that data models, data architectures, and AI-driven solutions are qualitatively robust and sustainably usable? Do you want to combine your communication strengths with technical and architectural expertise and actively create added value for clients? Then you've come to the right place!
Dataciders, a dynamically growing group of companies, is a leading service provider for Data & AI in the German-speaking region. Our success is confirmed by the 1 place on the renowned Lünendonk list for Data & Analytics services.
About us
Dataciders GmbH is an association of currently eleven successful, growing, and independently operating IT service providers.
We are united by the vision that no one should ever have to make bad decisions again. More than 850 employees from over 15 nations are doing everything they can to realize this vision with tailor-made and future-oriented IT solutions for our clients. Our focus is on the areas of Data Management and Analytics, with each member company contributing complementary specializations.
From our locations in Berlin, Dortmund, Hamburg, Hanover, Munich, Halle/Westphalia, Stuttgart, Nuremberg, and Sofia, we serve more than 100 clients from the DAX 40, the upper mid-market, and the public sector.
Your Location
You will work at one of our locations while also having the flexibility to work remotely.
Berlin Hamburg
What awaits you in your new role
What we are looking for in you
What we offer you
- You will work on diverse client projects, accompanying the entire process from requirements analysis to the rollout of customized data models and data strategies.
- You will develop and design high-quality data models and data quality-oriented data architectures along the entire data value chain – from cloud platforms and data pipelines to BI reports and ML models.
- You will define, implement, and monitor data quality rules, metrics, and governance, validation, and control mechanisms.
- You will advise clients at the interface between business departments and IT on the sustainable improvement of data quality and the use of AI with regard to quality and traceability.
- You will lead and moderate workshops on data quality, Artificial Intelligence, and automation, flexibly switching between client interaction and technical implementation.
- You will automate data and quality processes while continuously developing yourself both professionally and technologically.
Minimum requirements
- You have a completed university degree (e.g., Computer Science, Business Informatics, or equivalent) and several years of project experience in data modeling and data architectures – ideally with a focus on data quality in the AI context.
- You have very good knowledge of database technologies and the Microsoft environment, and experience with platforms such as Microsoft Fabric, Databricks, or Azure Synapse.
- You are proficient in Python and SQL, and have experience in developing data pipelines, ETL processes, and ideally with tools like dbt or orchestration solutions.
- You have practical experience in cloud environments and in automating data and quality processes.
- You convince with strong communication skills, moderation competence, and analytical and structured thinking, and you present yourself confidently in consulting.
- You work independently and as part of a team, are technologically open and eager to learn, and have very good German and English skills (minimum C1).
- The opportunity to work remotely.
- A work environment with a high degree of personal responsibility, trust, and genuine co-creation.
- Individual development through learning time budgets and active knowledge transfer.
- Regular team and sports events – from digital lunches to the annual retreat.
- Meaningful projects that provide our clients with transparency and decision-making certainty.
- Flexible working hours for a balanced work-life balance.
- Diverse training and development opportunities.
- Modern hardware and optimally equipped workstations.
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