Lead Data Engineer (Databricks)

TL;DR

Lead Data Engineer (Databricks): Design, build and evolve scalable data platforms and architectures aligned with business goals with an accent on data modeling, cloud-based solutions, and high-quality delivery. Focus on guiding teams through complexity, optimizing data workflows for performance and scalability, and collaborating with stakeholders to translate needs into robust solutions.

Berlin, Germany (DACH region: Austria - Vienna, Linz, Graz; Germany - Berlin, Regensburg); remote from other locations in DACH; flexible hybrid work model

Company

Leading software and technology consulting company with specialized businesses in caretech, banktech, indtech, and tech consulting; 14,000 experts focused on cloud, AI, and digital solutions; annual revenue EUR 2 billion.

What you will do

• Take ownership of data engineering initiatives and act as technical lead towards customers
• Design, build and evolve scalable data platforms and architectures
• Guide project teams, set best practices, and ensure high-quality delivery
• Collaborate with stakeholders to translate business needs into data solutions
• Optimize and monitor data workflows for performance, scalability, and reliability
• Stay ahead of data technology trends and introduce innovations

Requirements

• 7+ years in designing and implementing data solutions, platforms, and interfaces
• Strong expertise in data modeling (dimensional modeling, de-normalization)
• Hands-on with modern data technologies, cloud platforms, big data tools, data warehousing
• Experience with cloud-based data platforms, Medallion architecture, Databricks, Microsoft Fabric
• Experience guiding technical decisions, mentoring team members
• Fluency in German (C1) and English
• Consulting mindset, excellent communication with technical and non-technical stakeholders

Nice to have

• Valid certifications in Databricks, Microsoft Fabric, MS Azure

Culture & Benefits

• Professional growth, meaningful projects, open culture, outstanding work-life balance
• Access to international network of industry experts
• Flexible hybrid work model
• Agile end-to-end development process with learning and coaching opportunities
• Curiosity and continuous learning as a lifestyle
• Commitment to diversity, equity, and inclusion