Fast-track your career as a Databricks Data Engineer
Fully-funded training and work placement
Looking to take your career to the next level?
As the tech talent creation and training expert and a Databricks Consulting Partner, we can help you cross-train as a Databricks Data Engineer, building the data skills needed to support analytics, machine learning, and generative AI projects while you earn and learn.
We’ll help you achieve the Databricks Lakehouse Fundamentals, Apache Spark Developer Associate, and Databricks Lakehouse Data Engineer Associate certifications in your first 10 weeks, giving you a strong technical base for data engineering, machine learning, and AI-focused career paths.
You’ll then progress onto a full-time work placement with one of our world-class clients for a period of up to two years, with opportunities to go deep into data engineering, generative AI, or machine learning.
Ready to get started?
1,000+
>2,300
175+
Why cross-train as a Databricks Data Engineer?
Delivering cutting-edge innovation, with a particular strength in streamlining and automating lakehouse processes with AI, Databricks continues to grow at an astounding rate.
However, this growth has created demand for certified Data Engineers who can operate modern data lakehouses and help organizations prepare trusted data for analytics, machine learning, and generative AI, offering strong career opportunities for anyone looking to learn this technology.
What does a Data Engineer do?
Over the past five years, Data Engineer has consistently been among the fastest-growing jobs, reflecting a global trend. Since machine learning models and generative AI tools rely on clean, governed, and relevant data sets to operate effectively, the role of a Data Engineer has become increasingly important.
Data Engineers perform a range of tasks, including acquiring, analyzing, and sorting raw data sets to enable their organization to draw meaningful insights to aid decision-making.
They work with a range of stakeholders, developing business intelligence reports, implementing new systems for data analytics, preparing data for machine learning and generative AI use cases, and creating and implementing algorithms to transform raw data into easy-to-process information while ensuring compliance with data security and data governance best practices.
What sets our Databricks Data Engineer Careers Program apart?
By joining our Databricks Data Engineer Careers Program, you’ll become part of an elite community of talented professionals called ‘Revols’. You’ll be able to earn while you learn, receiving the best-in-class training, complete with fully funded industry certifications, and ongoing development opportunities for the duration of your work placement.
Learn at least 3 leading data technologies, including Databricks, Apache Spark, and FiveTran
Develop consultancy acumen with additional soft skills training, including effective communication, stakeholder management, and more
Gain proficiency in Data Ingestion, Orchestration, Destination, Transformation, Modeling, and more, with at least 50% of training time spent on hands-on application
Progress onto a paid work placement for a leading tech or business brand and continue to advance your skills in data engineering, generative AI, or machine learning
Receive ongoing support and development while you’re on placement, with 1:1 mentoring, support, and networking opportunities
What others say about our training
As the world-leading tech talent creation and training expert, we’ve helped countless people launch careers in world-leading technologies. But don’t take our word for it—hear it directly from our Revols!
Entry requirements:
What happens after you complete the program?
Once you’ve completed our training program, you’ll be an experienced, certified, and well-rounded Databricks Data Engineer, with the foundation to support data, machine learning, and AI-driven projects. From here, the sky’s the limit!