
501 - 1000 employees
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Dataciders GmbH is a leading service provider specializing in data and analytics solutions. Based in Germany, the company focuses on transforming data into competitive advantages for its clients across various sectors. By leveraging modern technologies and AI, Dataciders delivers tailor-made end-to-end solutions that integrate deep data expertise with strong domain knowledge. Their services are designed to support industries such as automotive, energy, utilities, financial services, manufacturing, pharmaceuticals, and retail. Dataciders is committed to helping businesses unlock the potential of their data, enabling better decision-making and process optimization.
🕒 December 18, 2025
🗣️🇩🇪 German Required
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501 - 1000 employees
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Dataciders GmbH is a leading service provider specializing in data and analytics solutions. Based in Germany, the company focuses on transforming data into competitive advantages for its clients across various sectors. By leveraging modern technologies and AI, Dataciders delivers tailor-made end-to-end solutions that integrate deep data expertise with strong domain knowledge. Their services are designed to support industries such as automotive, energy, utilities, financial services, manufacturing, pharmaceuticals, and retail. Dataciders is committed to helping businesses unlock the potential of their data, enabling better decision-making and process optimization.
• Implement modern data engineering architectures with a focus on Microsoft Fabric • Support clients from requirements analysis through architecture decisions to implementation • Design and deliver sophisticated data platforms built on Microsoft Fabric • Work with clients across industries and company sizes in the DACH region
• Initial or advanced experience with Microsoft Fabric or comparable platforms (e.g., Databricks, Azure Synapse, Spark) • Enthusiasm for modern data engineering architectures and current developments in Data & AI • Confident, client-focused presence — both in workshops and in technical projects • Experience with Azure, AWS, or GCP is an advantage • Strong communication skills, team player, and willingness to travel • German and English at a minimum of C1 level
• A working environment with a high degree of autonomy, trust, and real opportunities to shape the company • Individual development through learning time budgets and active knowledge transfer • Regular team and sports events — from digital lunches to an annual retreat • Meaningful projects that give our clients transparency and confidence in decision-making • Flexible working hours for a healthy work–life balance • A wide range of training and development opportunities • Modern hardware and well-equipped workstations • Comprehensive sports and wellness allowance
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