01Overview
Application Deadline - 31st July 2026
About Euromonitor
Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organizations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence.
Overview Of The Role
The Data Platform Engineering Manager leads Data Platform Engineering teams distributed globally, creating the conditions for engineers to do their best work. The role is a people-first leadership position with strong technical leadership accountability: setting direction, removing obstacles, and ensuring the team delivers reliable data centric solutions - data systems, pipelines, data manipulations.
The Manager partners closely with Team Leaders to build a healthy, inclusive, and high-performing culture grounded in trust and psychological safety. They hire, coach, and develop engineers and leaders through regular 1:1s, feedback, and performance reviews, applying servant leadership and demonstrating empathy for day-to-day engineering challenges (delivery pressure, incidents, technical debt, ambiguity) while supporting sustainable pace.
Requirements
What You'll Do :
People Leadership & Team Health - Hire, coach and develop engineers and Team Leaders through regular 1:1s, feedback and performance reviews; foster an inclusive, psychologically safe culture; maintain sustainable pace and team morale; and actively remove blockers so the team can deliver. Delivery, Backlog & Stakeholder Alignment - Own and prioritise the backlog and roadmap for data platform services/capabilities; align stakeholders and external teams on outcomes, scope and timelines; manage dependencies, risks and delivery plans; communicate clearly "why" and "what" to the team; and ensure services are production-ready (SLAs/SLOs, release and change practices). Continuous Improvement - Drive continuous improvement based on data and feedback; identify and remove sources of toil and delivery friction; and improve data platform experience for external teams through automation, standardisation and self-service capabilities. Strategy & Outcomes - Define team goals/OKRs aligned to company and technology strategy; translate strategy into an executable roadmap; balance near-term delivery with data platform sustainability (reliability, security, maintainability, cost) Learning & Technical Currency - Stay current with data services, public cloud data services ecosystem and modern data engineering practices; bring relevant ideas into the roadmap; and ensure the team has time and support to learn and apply them pragmatically. Technical Leadership & Platform Design - Provide technical leadership on data platform solution design, applying strong data engineering principles and non-functional requirements (scalability, reliability, security, operability). Guide design reviews and technical decisions to ensure data platform services/capabilities address real data pain points and deliver measurable value for external teams. Leadership Development - Coach Team Leaders to strengthen people leadership, delivery management and technical decision-making; help them build autonomy, consistency and healthy team practices. Documentation & Governance - Ensure clear, accessible documentation for data platform services (standards, how-to guides, runbooks, architecture decisions) that enables self-service for external teams and meets business and compliance requirements. Reliability, Incident Response & Operations - Ensure data platform services are observable, resilient and operating within agreed targets; coordinate incident response for outages or security incidents; drive root-cause analysis and follow-up actions; and continuously improve operational practices to prevent recurrence.
What We're Looking For
Technical skills/experiences:
Understanding and experience in applying Servant Leadership principals Experience in roadmap and backlog management in Agile delivery Deep knowledge of Microsoft Azure Data oriented services (Data processing and Storage) Experience in writing SQL code Understanding in DevOps principles and practices Experience in using project/product management tools (Azure DevOps, Jira, AHA.io) Knowledge in Business Intelligence tools (PowerBI, Tableau) Knowledge in AI-enabled systems or workflows Skilled in planning and designing data solutions according to functional and non-functional requirements Advantageous - Certification in Scrum Product Owner role Advantageous - Microsoft Azure Data Engineer certified or future equivalent Advantageous - Microsoft Azure Administrator certified or future equivalent Advantageous - Certification in FinOps framework
Personal Competencies:
Servant Leader: Earn team respect through listening, empathy, and leading by example. Coordinator: Build strong relationships with .
