Technical Instructor

RevoData

7d • Hybrid

About The Position

Training is a core part of RevoData’s offering. Whether companies are adopting Databricks for the first time, scaling their data platform, or upskilling their teams in Data Engineering, BI, ML or GenAI — our instructors play a crucial role in helping them succeed. As our Technical Instructor, you will deliver high-quality Databricks trainings to data professionals across Europe, with a strong focus on virtual sessions. You’ll guide learners through complex concepts in an engaging, structured way and ensure every training — whether 4 hours or multi-day — is impactful and smooth from start to finish. Alongside teaching, you’ll help strengthen and streamline how we run our training operations: coordinating schedules, improving processes, and working closely with our internal team and Databricks to continuously raise the bar.

Requirements

• Hands-on programming experience with Python and SQL. As our trainings include practical coding exercises, you should be comfortable building, modifying and troubleshooting code with learners in real time.
• A strong motivation to teach and a genuine interest in being a full-time instructor, not someone who wants to teach on the side.
• Solid presentation skills - you can explain technical concepts clearly to different audiences and maintain confidence and kindness throughout.
• A fast-learning, analytical mindset that helps you pick up new tools and concepts quickly.
• Patience, empathy, and the ability to remain calm and supportive even when asked the same question multiple times.
• A proactive, organised way of working and the confidence to take ownership of processes, structure, and scheduling.
• Proficiency in English is essential; an additional language is a plus.
• Willingness to travel approximately 20% of the time, mainly within the EU.

Nice To Haves

• Teaching, mentoring or coaching experience is a plus but not required; what matters is your motivation and ability to deliver training with clarity and energy.
• Machine Learning or AI project experience is a plus.
• A PhD, or experience in research or academia is a plus.
• Databricks experience is a plus.

Responsibilities

• Deliver engaging Databricks trainings across Data Engineering, BI, Machine Learning, and GenAI - primarily virtual and in English.
• Ensure smooth training operations: coordinating schedules, preparing materials, managing the training Slack channels, and handling last-minute requests when they arise.
• Guide learners through complex technical topics in a structured, clear and approachable way, adjusting your style to the needs of the group.
• Collaborate closely with our instructors and Databricks to strengthen our training program and maintain high delivery standards.
• Take ownership of improving how training is organised - from spotting inefficiencies to proposing and implementing better ways of working.
• Play a key role in growing our virtual training capacity, helping RevoData meet increasing demand while ensuring consistency and quality.

Benefits

• Competitive salary based on your location, experience and seniority.
• Access to Databricks learning resources, certifications and partner academies, alongside regular internal knowledge-sharing sessions and workshops.
• Opportunities to work hands-on with modern data and AI technologies, including Databricks and the wider data engineering ecosystem.
• A flexible and collaborative working environment, with remote and hybrid working options depending on your location and role requirements.
• Work alongside experienced data and AI professionals across Europe and collaborate with clients across different industries.
• Join a rapidly growing company where you can develop both your technical expertise and your skills as a trainer and consultant.
• Regular team activities, knowledge-sharing sessions and opportunities to connect with colleagues across the wider RevoData team.
• We care about sustainable ways of working and creating an environment where people can do their best work.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed