Senior Specialist - Data Engineering
Pubblicato il 24-10-2026 - Marsh in Roma
h3Job Summary /h3 pWe are seeking a highly capable and experienced /p h3Lead Engineer – Vulcan Platform Team /h3 h3Job Summary /h3 pWe are seeking a highly capable and experiencedbLead Engineer /bto join thebVulcan Platform Team /b. This role will provide technical leadership in the design, delivery and optimisation of platform and data engineering capabilities that underpin scalable, secure and reliable data products across the organisation. /p pThe successful candidate will bring strong experience inbcloud-native engineering /b, with particular depth inbAWS /b andbDatabricks /bor similar Data lakehouse technologies and will be comfortable leading engineers whilst remaining hands-on in architecture, design and delivery. This role is ideal for someone who enjoys shaping engineering standards, improving platform capabilities, and working closely with cross-functional teams to enable high-quality, governed and performant data solutions. /p pThe Lead Engineer will play a key role in advancing the Vulcan platform, ensuring it meets current and future business needs through robust engineering practices, automation, observability, and continuous improvement. /p h3Key Responsibilities /h3 h3Technical Leadership /h3 ul liLead, coach and mentor engineers within the Vulcan Platform Team, fostering a culture of engineering excellence, collaboration and continuous learning. /li liProvide hands-on technical leadership across platform design, software engineering practices and delivery execution. /li liSet and uphold engineering standards, including code quality, testing, documentation, CI/CD, and operational support. /li liSupport technical decision-making, architecture reviews and prioritisation of platform improvements in line with strategic objectives. /li liWork closely with product, architecture, security and business stakeholders to translate requirements into scalable engineering solutions. /li /ul h3Platform Engineering Architecture /h3 ul liDesign, build and maintain scalable, resilient and secure platform capabilities usingAWSandDatabricks. /li liLead the development of reusable platform services, patterns and frameworks that accelerate delivery for data and engineering teams. /li liDrive the design and implementation of modern data and platform architectures, including lakehouse-oriented and event-driven patterns where appropriate. /li liEnsure platform solutions are designed for reliability, performance, maintainability and cost-efficiency. /li liChampion automation and infrastructure-as-code approaches to improve consistency, deployment speed and operational control. /li /ul h3Data Pipeline Enablement /h3 ul liOversee the design and implementation of robust data pipelines, ingestion frameworks and transformation workflows. /li liSupport the development of scalable data processing solutions leveragingDatabricks,Spark, and AWS-native services. /li liEnsure high standards of data quality, observability, lineage and operational supportability across platform components. /li liPartner with data consumers, product teams and domain teams to enable effective use of shared platform capabilities. /li liContribute to the evolution of platform services that support governed, self-service and reusable data product delivery. /li /ul h3Cloud, Security Operational Excellence /h3 ul liUtilise AWS services such asS3, Lambda, Glue, Step Functions, RDS, IAM,
CloudWatchand related tooling to build and optimise platform services. /li liEnsure security, compliance and governance requirements are embedded into engineering solutions by design. /li liImprove monitoring, alerting, logging and incident response processes to strengthen platform reliability and service performance. /li liSupport cost management and optimisation across cloud infrastructure and workloads. /li liWork with enterprise and security teams to ensure alignment with Marsh technology standards and risk controls. /li /ul h3Innovation Continuous Improvement /h3 ul liStay current with developments across AWS, Databricks and modern engineering practices, identifying opportunities to improve platform capability. /li liEvaluate and introduce tools, frameworks and practices that enhance productivity, reliability and scalability. /li liLead initiatives to improve developer experience, release processes, testing strategies and operational maturity. /li liPromote a culture of continuous improvement through retrospectives, feedback loops, metrics and engineering best practice. /li /ul h3Qualifications /h3 h3Education /h3 ul liBachelor's degree in Computer Science, Engineering, Information Technology or a related discipline, or equivalent practical experience. /li /ul h3Experience /h3 ul liSignificant experience in software engineering, platform engineering or data engineering roles, with demonstrable time spent in a senior or lead capacity. /li liStrong hands-on experience designing and delivering solutions onAWS. /li liStrong experience working withDatabricksor similar Data lakehouse technologies in enterprise data or platform environments. /li liProven experience building and supporting scalable data pipelines, distributed processing workloads, and cloud-native platforms. /li liExperience leading engineers and driving technical delivery across cross-functional teams. /li liExperience with platform automation, CI/CD pipelines and infrastructure as code. /li liExperience operating within governed enterprise environments, with an understanding of security, risk and compliance requirements. /li /ul h3Technical Skills /h3 ul liStrong knowledge ofAWSservices, particularly in storage, compute, orchestration, monitoring and security. /li liStrong experience withDatabricks or similar Data lakehouse technologies, including notebooks, workflows, cluster management and data processing patterns. /li liStrong programming capability inPythonandSQL. /li liGood understanding ofSparkand distributed data processing concepts. /li liExperience with data architecture, data modelling and modern lakehouse principles. /li liFamiliarity with infrastructure-as-code and automation tooling such asTerraform,CloudFormationor similar. /li liExperience with DevOps and engineering tooling such asGit, CI/CD platforms, containerisation, and workflow orchestration tools. /li liUnderstanding of observability practices including logging,
metrics, monitoring and alerting. /li /ul h3Skills Competencies /h3 ul liStrong leadership and stakeholder management skills. /li liExcellent problem-solving and analytical ability, with a pragmatic approach to delivery. /li liStrong communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences. /li liAbility to influence engineering direction and drive adoption of standards and best practices. /li liComfortable operating in a fast-paced environment with multiple priorities and evolving requirements. /li /ul h3Preferred /h3 ul liExperience in financial services, insurance, pensions or other regulated environments. /li liExperience supporting shared platforms used by multiple product or domain teams. /li liExposure to data governance, metadata, lineage and access control frameworks. /li liAWS certifications such asAWS Certified Solutions Architect,AWS Certified Data Engineer, or similar. /li liDatabricks certification is an advantage. /li /ul h3What Success Looks Like /h3 ul liThe Vulcan platform is reliable, scalable and secure, with clear engineering standards and strong operational performance. /li liEngineers are supported and mentored effectively, with improved delivery quality and team capability. /li liPlatform users are able to build and run data products more efficiently through reusable, well-governed capabilities. /li liAWS and Databricks services are used effectively to balance scalability, maintainability and cost. /li liContinuous improvement is embedded into the team’s culture and engineering practices. /li /ul pMarsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X. /p pMarsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. In accordance with Section 40.2 of the Royal Legislative Decree 1/2013, of 29 November, approving the Consolidated Text of the General Act on the Rights of Persons with Disabilities and their Social Inclusion, Marsh will provide a reasonable accommodation to employees and prospective employees up to the point of undue hardship as required for the individual’s particular restrictions and limitations. /p pMarsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person. /p #J-18808-Ljbffr