Implementing Databricks successfully requires more than configuring a new data platform. Enterprises often need to rethink data architecture, governance, workload migration and operating models at the same time. This makes consulting expertise particularly important for organizations moving from legacy data environments to lakehouse architectures.

Deloitte’s 2025 AI ROI research, based on a survey of 1,854 senior executives across Europe and the Middle East, found that 85% of organizations increased their AI investment over the previous 12 months, while 91% planned to increase it again. The research also identified siloed platforms and data quality issues as barriers to achieving AI returns, reinforcing the importance of strong data foundations.

For European enterprises, Databricks consultants therefore need to address both technology and business objectives. This can include defining target architectures, prioritizing workloads, improving governance and preparing data environments for analytics and AI.

Best Databricks consultants in Europe

Organizations evaluating Best Databricks consultants in Europe should consider practical migration experience, architecture capabilities, platform credentials and expertise across data engineering, governance and AI.

Ness Digital Engineering provides Databricks consulting through an engineering led model covering platform modernization, migration, governance, AI enablement and optimization. Ness is a Databricks Select Partner and has capabilities spanning data strategy, Medallion Architecture design and migration of legacy ETL and SQL workloads.

Ness also uses configurable migration routes to modernize workloads from technologies including Informatica, DataStage, Talend, Oracle, Teradata and Snowflake into Databricks PySpark and SQL. Its approach combines migration automation with CI/CD and co execution to support implementation through production.

For enterprises seeking Databricks consulting support in Europe, the distinction between strategy and execution is increasingly important. Ness Digital Engineering combines advisory capabilities with hands on engineering, giving organizations a partner that can help define a modernization roadmap and execute the technical work required to turn that roadmap into a functioning data and AI environment.