Unlock the Power of Databricks for Scalable Data and AI Solutions
As a certified Databricks partner, DVT brings proven data engineering expertise to help you accelerate time-to-value, streamline implementation, and maximise the return on your Databricks investment.
DVT’s Databricks Services
Flexible Delivery Models for Databricks Services
DVT offers flexible delivery options to support your Databricks projects—remote, hybrid, or fully on-site.
Our remote teams operate from UK and EU time zone–aligned centres, ensuring high productivity, seamless collaboration, and English-language fluency.
Hybrid models combine the best of both worlds, allowing on-site presence during key activities like planning, innovation sessions, and team building. Fully on-site delivery is available when required.
Whether you need a single skilled Databricks expert or a full project team, DVT is ready to deliver.
Maximise ROI and Accelerate Innovation with Databricks
Unify your data, analytics, and AI on a single platform—eliminating silos, reducing complexity, and increasing flexibility.
As a Microsoft Azure and AWS Partner, DVT delivers certified Databricks expertise across data engineering and AI. Our end-to-end services cover solution design, implementation, data integration, quality management, and governance.
We help you explore and analyse your data, build and deploy machine learning models, and unlock actionable insights—so you can get the most from your Databricks investment.
Achieve faster outcomes with DVT’s certified Databricks engineers.
What our clients say
What our clients say
Why partner with DVT?
Why partner with DVT?
Scale your mobile development team quickly with access to DVT’s deep skills pool and over a decade of mobile app experience. We can assemble and deploy high-performing team members at short notice to meet your delivery needs.
What is the Databricks
Lakehouse Platform?
The Databricks Lakehouse Platform merges the best elements of data lakes and data warehouses, delivering a solution that offers the reliability and governance of warehouses with the openness and flexibility of data lakes. This unification simplifies your modern data stack, eliminating the barriers in data engineering, analytics, BI, data science, and machine learning. Built on open standards, it maximises flexibility and supports Databricks artificial intelligence. Its unified approach to data management and security streamlines operations and accelerates innovation, crucial in databricks data engineering.
To learn more visit Databricks
Challenges with
Data, Analytics & AI
Challenges with
Data, Analytics & AI
Moving forward with a
lakehouse architecture
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The Lakehouse Platform combines the best of data warehouses and data lakes into a single, unified platform for data engineering, analytics, and machine learning.









