SA
London, England, United Kingdom
● Strong current hiring demand for this role
PythonAWSAzureGCP
D
Salary not disclosed
Check market pay for comparable Engineering Manager roles before applying.
Role overview
Job description
Req ID: CSQ128R179 Location: London, United Kingdom - Hybrid Recruiter: Dina Hussain Role Overview As a Forward Deployed Engineering (FDE) Manager, you will lead a high-performing delivery team of 8+ Individual Contributors (ICs) to build and productionize solutions for customers' data and AI challenges using the Databricks platform. You are responsible for ensuring high-quality technical execution, driving professional services business outcomes, and nurturing elite engineering talent while remaining close to the technology and execution. Scope of Impact & Leveling Criteria Oversees successful delivery at the delivery team and account level, driving Professional Services (PS) business outcomes through high-quality execution. Impact is measured by key metrics including Bookings, Revenue, Margin, CSAT, and Direct Consumption / Delta Cloud Consumption (DBUs). Typically manages an elite en
…About this listing
- Source: Databricks's official careers site (via Greenhouse) · last confirmed on the source 28 Oct 2026
- Posted 26 Oct 2026
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Role market pulse
How Engineering Manager demand looks in United Kingdom
Live jobs
40
Posted 30d
26
30d movement
+766.7%
Remote share
35%
Salary listed
32.5%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
What We Look For Experience: 8+ years of total technical experience with 2+ years of experience managing, leading, or mentoring high-caliber technical teams in data engineering, data platforms, software engineering, or AI/ML; Certifications: Databricks Certification required (or path to completion); government license for such positions, and Employer may decline to proceed with an applicant on this basis alone
Department · Professional Services Operations
Hiring company
Databricks
Technology
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.
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