Senior Databricks Consultant - Data & AI Engineering
Location:
London; UKWork type: HybridSeniority: Middle ManagementPrimary skill: Data Software EngineeringPosted: 2026-10-26When the stakes are high, the difference between a data platform that scales and one that stalls is measured in how well it adapts to real business needs. The Senior Databricks Consultant – Data & AI Engineering role in London sits at the intersection of enterprise data and AI, where technical depth meets business impact. Enterprise clients expect more than technical solutions—they need platforms that evolve with their strategy and deliver value under pressure. If you thrive on untangling complexity and shaping outcomes that matter, you will find challenge and purpose here. The work shapes how clients turn data into decisions that drive their future.
ResponsibilitiesCollaborate with clients to understand their business needs and data requirementsDesign, develop and implement data solutions using DatabricksEngage with senior stakeholders on decision-makingTranslate complex business requirements into practical Data Driven/ML/AI solutionsRapid Prototyping to Production: Translate ambiguous business problems into functional technical solutions to de-risk high-stakes client initiativesArchitect and deliver end-to-end data solutionsHands-on Co-Development: Embed directly with client/EPAM engineering teams to build data pipelines, Streaming/Batch Architectures and Medallion Designs, and production-grade AI/ML systems on DatabricksLead delivery teams to ensure successful project outcomes and client satisfactionBuild and maintain strong client relationships, acting as a trusted advisorDrive revenue within the client/account portfolio by identifying opportunities and influence/sell-in EPAM services and participate in pre-salesRequirementsBachelor's or Master's degree in Computer Science or a related field or relevant work experienceExtensive experience in Data & AI, particularly in building enterprise data and ML/AI platformsProven expertise with Databricks is a must, including hands-on implementation experience and certificationsStrong background in solution architecture on major cloud providers (Azure, AWS)Excellent problem-solving skills and the ability to analyze complex business requirements10+ years of experience in software engineering, machine learning or advanced data engineering rolesDemonstrated experience in engaging and influencing senior stakeholdersAbility to operate strategically while maintaining attention to detailExperience leading delivery teams and driving successful project outcomesStrong track record of developing and growing client relationshipsNice to haveExperience with Agentic FrameworksExperience with Semantic LayersExperience with Data Management and GovernanceExperience with Data ModelsExperience with CI/CDExperience with Mosaic AICloud certifications (AWS or Azure)Previous experience in a forward-deployed, professional services or elite solutions engineering environmentWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social eventsLearning and development opportunities including in-house training and coaching, professional certifications, and coursesIf otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program*All benefits and perks are subject to certain eligibility requirements