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Job description
Join our global team of experts in digital business transformation across various industries. Work on projects that generate value from software, data, and AI, and deliver strategies and solutions that challenge conventional industry practices and drive technological progress.
Design and develop scalable data pipelines, evaluate and implement new technologies and tools, support customers in obtaining necessary data, work with Data Scientists and Analysts, share expertise and experience with team members, and develop and maintain documentation on data engineering processes.
Must have relevant work experience of at least 5 years in Data Engineering, sound knowledge of at least one programming language, and experience with Big Data technologies. Nice to have knowledge of developing machine learning pipelines and models, experience in project management, and familiarity with DataOps practices and DevOps concepts.
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Company
Tech, Software & IT Services
Diconium GmbH, a wholly owned subsidiary of the Volkswagen Group, is a global digital business transformation partner that leverages 30 years of experience to help automotive, industrial, and other sectors accelerate competitiveness through software, data, and AI solutions. With a team of over 2,500 experts spread across Europe, North America, and Asia, the company delivers end‑to‑end services—from strategy and digital advisory to engineering, integration, testing, cybersecurity, and user experience—tailored to clients such as Volkswagen, Stihl, Bechtle, Trumpf, and Zeiss. Diconium differentiates itself by combining deep industry knowledge with a relentless focus on challenging conventional practices, creating software‑defined products and data‑centric business models that drive sustainable growth and societal progress. Their portfolio spans e‑commerce, digital business strategy, process mining, smart data, and data science, positioning them as a trusted partner for companies seeking to build a smarter, digitally enabled future.