IT-Trainer & Data Engineer (m/w/*)

We are looking for an experienced IT Trainer & Data Engineer who combines deep technical expertise with a passion for knowledge sharing. In this hybrid role, you will design and deliver high-impact technical training programs while also contributing to client-facing Data Engineering and Cloud projects.

You will work with modern data and cloud technologies including Databricks, Apache Spark, Kafka, Kubernetes, Terraform, and leading cloud platforms. When not delivering training, you will support customers in designing, building, and optimizing scalable data platforms and engineering solutions.

This role is ideal for someone who enjoys both hands-on technical work and helping others grow their skills., * Design and deliver instructor-led training for clients and internal teams.

• Create engaging learning materials, labs, workshops, and certification preparation content.
• Translate complex technical concepts into practical, business-relevant learning experiences.
• Continuously update training content to reflect industry trends and emerging technologies.
• Mentor learners and support their technical development., * Develop batch and streaming solutions using technologies such as Databricks, Spark, Kafka, and cloud-native services.
• Support customers in data architecture, platform modernization, and cloud transformation initiatives.
• Implement Infrastructure-as-Code and automation using Terraform and CI/CD practices.
• Collaborate with architects, engineers, and customer stakeholders to deliver successful projects., * Opportunity to work on cutting-edge Cloud, Data, and AI projects.
• A unique combination of technical consulting and professional training.
• Continuous learning, certifications, and professional development.
• Flexible working arrangements and modern tooling.
• International and collaborative work environment.
• Clear opportunities for career growth and specialization.

Why Join Us?

You'll have the opportunity to influence both technology adoption and people development. Rather than focusing solely on delivery or training, you'll play a key role in helping organizations build modern data capabilities while empowering their teams to succeed.

Do you have experience in Terraform?, * Strong experience in Data Engineering, Data Platforms, or Cloud Engineering.

• Hands-on experience with Databricks, Apache Spark, Kafka, or similar technologies.
• Experience with at least one major cloud platform (Azure, AWS, or GCP).
• Understanding of modern data architectures, including Data Lakes, Lakehouses, and Data Warehouses.
• Familiarity with Kubernetes, Docker, Terraform, and DevOps practices is highly desirable.
• Strong SQL and data modeling skills.

Training & Communication

• Experience delivering technical training, workshops, mentoring, or enablement programs.
• Ability to explain complex concepts to both technical and non-technical audiences.
• Excellent presentation, facilitation, and stakeholder management skills.
• Passion for learning and helping others develop their capabilities., * Customer-focused and consultative mindset.
• Strong problem-solving and analytical skills.
• Self-motivated with the ability to work independently and collaboratively.
• Curious, adaptable, and eager to stay current with emerging technologies.
• Excellent communication and presentation skills in English & German.

Ultra Tendency is an international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. Since 2010, we have helped leading organizations-including the European Central Bank, Deutsche Telekom, and Europe's largest automotive manufacturer-build and operate large-scale, data-driven platforms. With 8 offices across 10 countries and a growing global team, we combine deep technical expertise with a strong commitment to open source. Our consultants actively contribute to projects such as Apache Kafka, Apache NiFi, Terraform, and Ansible, and we are a trusted Databricks partner. At Ultra Tendency, you'll work on challenging projects that push the boundaries of Data and AI while collaborating with talented colleagues in a culture built on learning, knowledge sharing, and mutual support. We evaluate candidates based on skills, experience, and business fit, and welcome applicants from all backgrounds.