Demandantes de empleo | Nuestro programa de formación | Databricks

Databricks Careers Program

Build your career as a Databricks Data Engineer

Develop Databricks skills, earn industry-recognized certifications and build real-world experience in a customer environment.

Take your data career into Databricks

As organizations invest more heavily in analytics, machine learning and AI, they need Data Engineers who can build the reliable data foundations those technologies depend on.

Nuestra Databricks Careers Program gives you a structured route into that opportunity.

Training is delivered through Revolent, our specialist technology talent creation and training business. Over an intensive 10-week program, you’ll develop Databricks Data Engineering expertise, work towards relevant certifications and build practical skills aligned to the requirements of your customer placement.

Once training is complete, you’ll progress onto a placement with a customer for up to two years, working as part of their team while remaining with Revolent and applying your skills to live data initiatives.

Why build a career in Databricks?

Databricks brings data engineering, analytics, machine learning and AI together through its lakehouse platform.

Data Engineers play a critical role in making that possible by building the pipelines, transformations and trusted datasets organizations need to support analytics and AI at scale. Building Databricks expertise gives you the opportunity to work at the center of modern data and AI delivery.

What does a Databricks Data Engineer do?

Databricks Data Engineers build and maintain the data foundations organizations rely on for analytics, machine learning and AI.

You could be responsible for:

Building and optimizing scalable data pipelines and workflows
Ingesting, transforming and modeling data from multiple sources
Improving data quality, accessibility and performance across the lakehouse
Preparing trusted data for analytics, machine learning and generative AI
Working with stakeholders to understand data requirements
Supporting reliable and governed data environments

What sets the Databricks Careers Program apart?

The program combines technical training, recognized credentials and practical application to prepare you for a real Databricks Data Engineer role.

Practical learning

At least 50% of training time is spent on hands-on exercises and technical projects to help you apply new skills to realistic challenges.

Industry-recognized credentials

You will towards qualifications such as Databricks Lakehouse Fundamentals, Apache Spark Developer Associate and Databricks Data Engineer Associate.

Broader data engineering experience

Training can also introduce you to complementary tools and technologies used across modern data environments.

Desarrollo profesional

Alongside your technical learning, you’ll develop communication, stakeholder management and consultancy skills that help you contribute effectively within customer teams.

What could your training cover?

Your training is shaped around the Databricks Data Engineer role and the requirements of the customer placement you are preparing for.

Depending on those requirements, learning could include:

Databricks lakehouse fundamentals
Apache Spark
Python or Scala
Advanced SQL
Data ingestion and orchestration
Data transformation and modeling

Your training will vary according to the technologies and responsibilities involved in your placement.

What do you need to join the program?

You do not need previous Databricks experience to be considered.

You’ll typically need:

The skills and experience needed may vary based on our open customer requirements.

Build real-world Databricks experience

After successfully completing your training, you’ll progress onto a customer placement for up to two years and work as part of their team while remaining with Revolent.

You’ll contribute to live data initiatives, take on responsibilities aligned to your role and continue building practical Databricks Data Engineering experience in a real working environment.

Where could your Databricks career take you?

As your experience grows, you could progress into areas such as:

At the end of your placement, there may also be an opportunity to transition permanently into the customer organization.

Our aim is to help you build the technical expertise and real-world experience needed for a long-term career in data and AI.

Ready to start your Databricks career?

Build the skills, certifications and practical experience to move into a real-world Databricks Data Engineer role.

This is not a job ad. The information provided is intended as general information about our Tech Careers Programs.