(Senior) Engineer Data Analytics (human) Microsoft Fabric & Azure Databricks Stellendetails | All for One Group SE

(Senior) Engineer Data Analytics (m/f/d) Microsoft Fabric & Azure Databricks

Your Responsibilities:

• Develop and manage data platform architectures for our nationwide clients, with a strong focus on the Microsoft Cloud, specializing in Microsoft Fabric & Azure Databricks.
• Identify client requirements, conduct requirement analyses, and design data analytics architectures.
• Develop sophisticated IT concepts, manage projects, and independently implement solutions within the team.
• Conduct training sessions and workshops for clients, and support colleagues in introducing new topics or projects.

What You Can Expect:

• A challenging and exciting position in a successful team with flat hierarchies.
• The opportunity to take on responsibility in internal and external projects (with support).
• Internal and external training programs for professional and personal development.
• Systematic knowledge exchange and development with experienced colleagues.
• An environment that values people and teamwork.
• Numerous benefits, such as a subsidy for the gym/sports club, options for additional insurance, and more.
• Excellent work-life balance through flexible working time models, a transparent overtime policy, and a realistic 40-hour work week.
• Performance-oriented compensation package consisting of a fair fixed salary and a transparent variable component.
• We offer hybrid working: You can spend part of your working time in a home office while enjoying the benefits of a vibrant office community.

Your Profile:

• Successfully completed studies or a comparable qualification with relevant practical experience.
• Experience with modern data and analytics tools, ideally from the Microsoft ecosystem (e.g., Power BI, Fabric, Azure Databricks) or comparable technologies.
• Ideally, you have documented your experience through Microsoft certifications.
• Strong analytical skills and a good understanding of data structures and processes.
• Excellent communication skills and enjoyment of collaboration with clients and interdisciplinary teams.
• Enthusiasm for innovative technologies and the willingness for continuous professional and personal development.
• Your commitment to working according to and actively shaping standards and best practices, and your willingness to share knowledge with colleagues, are key.
• Very good German and English language skills, as well as high flexibility and willingness to travel.