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Company Description
Data-Talent GmbH is a specialist recruitment partner focused on building high-performing data and software teams for clients across the DACH region from its base in Moosburg, Austria. Backed by five years of industry experience and a deep understanding of modern data and engineering stacks, the firm prioritizes rigorous pre-qualification to present only well-matched, ready-to-interview candidates. Core hiring domains span Data Analytics, Data Engineering, Data Science and Machine Learning, Data Architecture, Data Management, and Business Analytics, extending into adjacent product and delivery functions including IT Project Management, Product Owners, Scrum Masters, and Software Developers. Their technical specialisms encompass Business Intelligence, Artificial Intelligence and Machine Learning, Data Warehousing, cloud platforms (AWS, Azure, GCP), Big Data, Natural Language Processing, Deep Learning, and Python. Led by CEO and founder Markus Großmann and a dedicated team of consultants and sourcers, Data-Talent emphasizes quality over quantity, transparent communication, and human-centered collaboration without KPI-driven outreach. The service is free for candidates, while clients pay a success-based fee upon placement; commercial terms are evaluated collaboratively and may reflect factors such as multiple vacancies, exclusivity, and the attractiveness of each role, supported by lean overheads that help keep pricing competitive. Data-Talent invests in long-term relationships and seeks to operate as an extension of each customer’s team, listening closely, aligning on goals, and tailoring the search to culture, values, and technical fit. The result is an efficient, solution-oriented process that connects organizations with data professionals who can accelerate analytics initiatives, modernize data platforms, and drive product delivery. Whether scaling a data function or filling a critical niche role, clients benefit from fast response times, curated networks, and persistent execution to translate bold, data-led visions into real-world outcomes.
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