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Data Engineers are specialists in the development, deployment, and management of data pipelines and infrastructures. This position requires technical knowledge of databases, data processing, and cloud technologies. They work on collecting, transforming, and loading data from various sources to make it accessible for analysis and applications.
Data Engineers design and implement data pipelines that extract, transform, and store data in suitable databases or data warehouses. This data is then used for analysis, reporting, and other applications. They collaborate closely with Data Scientists, analysts, and other experts to ensure that the data infrastructure meets requirements. The role also involves ensuring data quality, security, and performance optimization. Overall, Data Engineers help create a solid foundation for data-driven analysis and decision-making by transforming data into a usable form and making it available for business purposes.
Benefits
Expertise and Network
Our 260 consultants offer expertise in almost every field. Our active network, which we are constantly expanding, and the more than 770,000 contacts in our database provide the solid basis for this.
Digital search process
Our digital, multi-channel search process enables us to find “hidden candidates”. This is supported by our usage and improvement of the best tools and processes.
Thanks to our complete, cross-channel screening of the entire market, we know the most important trends.
Excellent Service
Real empathy beats elbow mentality: Our incentive structure promotes collaboration among our consultants, across the boundaries of teams and countries. Always with the central focus: Client Happiness.
Quality
85% of the presented candidates are invited by our customers for an interview.
On average, we send 4 candidates until the position is successfully filled.
Speed
The first interviews with our customers take place within 20 days.
Successful placement of the position after 63 days - on average.
Consulting
Weekly Jour Fixe (status update based on KPIs, presentation of candidates, feedback and market observations) as well as detailed evaluation of candidates after a multi-level assessment.