{"id":2698699,"url":"https://alion.io/job/marsh-mclennan-senior-specialist-data-engineering","title":"Senior Specialist - Data Engineering","company":{"id":1769686,"name":"Marsh McLennan","domain":"marshmclennan.com","url":"https://alion.io/company/marshmclennan","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":32,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain","Berlin, Germany","London, United Kingdom","Brussels, Belgium","Paris, France","Rome, Italy","Munich, Germany","Frankfurt am Main, Germany","Lisbon, Portugal","Düsseldorf, Germany","Stuttgart, Germany","Cluj-Napoca, Romania"],"countries":["ES","DE","GB","BE","FR","IT","PT","RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":107000,"period":"year","method":"role_seniority_country_cell","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-16T10:46:41Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-23T15:10:58Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Company:\nMarshDescription:\nLead Engineer - Vulcan Platform Team\nJob Summary\nWe are seeking a highly capable and experiencedLead Engineer to join theVulcan Platform Team. 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.\nThe successful candidate will bring strong experience incloud-native engineering, with particular depth inAWS andDatabricks or 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.\nThe 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.\nKey Responsibilities\nTechnical Leadership\nLead, coach and mentor engineers within the Vulcan Platform Team, fostering a culture of engineering excellence, collaboration and continuous learning.\nProvide hands-on technical leadership across platform design, software engineering practices and delivery execution.\nSet and uphold engineering standards, including code quality, testing, documentation, CI/CD, and operational support.\nSupport technical decision-making, architecture reviews and prioritisation of platform improvements in line with strategic objectives.\nWork closely with product, architecture, security and business stakeholders to translate requirements into scalable engineering solutions.\nPlatform Engineering & Architecture\nDesign, build and maintain scalable, resilient and secure platform capabilities usingAWS andDatabricks.\nLead the development of reusable platform services, patterns and frameworks that accelerate delivery for data and engineering teams.\nDrive the design and implementation of modern data and platform architectures, including lakehouse-oriented and event-driven patterns where appropriate.\nEnsure platform solutions are designed for reliability, performance, maintainability and cost-efficiency.\nChampion automation and infrastructure-as-code approaches to improve consistency, deployment speed and operational control.\nData & Pipeline Enablement\nOversee the design and implementation of robust data pipelines, ingestion frameworks and transformation workflows.\nSupport the development of scalable data processing solutions leveragingDatabricks,Spark, and AWS-native services.\nEnsure high standards of data quality, observability, lineage and operational supportability across platform components.\nPartner with data consumers, product teams and domain teams to enable effective use of shared platform capabilities.\nContribute to the evolution of platform services that support governed, self-service and reusable data product delivery.\nCloud, Security & Operational Excellence\nUtilise AWS services such asS3, Lambda, Glue, Step Functions, RDS, IAM, CloudWatch and related tooling to build and optimise platform services.\nEnsure security, compliance and governance requirements are embedded into engineering solutions by design.\nImprove monitoring, alerting, logging and incident response processes to strengthen platform reliability and service performance.\nSupport cost management and optimisation across cloud infrastructure and workloads.\nWork with enterprise and security teams to ensure alignment with Marsh technology standards and risk controls.\nInnovation & Continuous Improvement\nStay current with developments across AWS, Databricks and modern engineering practices, identifying opportunities to improve platform capability.\nEvaluate and introduce tools, frameworks and practices that enhance productivity, reliability and scalability.\nLead initiatives to improve developer experience, release processes, testing strategies and operational maturity.\nPromote a culture of continuous improvement through retrospectives, feedback loops, metrics and engineering best practice.\nQualifications\nEducation\nBachelor’s degree in Computer Science, Engineering, Information Technology or a related discipline, or equivalent practical experience.\nExperience\nSignificant experience in software engineering, platform engineering or data engineering roles, with demonstrable time spent in a senior or lead capacity.\nStrong hands-on experience designing and delivering solutions onAWS.\nStrong experience working withDatabricks or similar Data lakehouse technologies in enterprise data or platform environments.\nProven experience building and supporting scalable data pipelines, distributed processing workloads, and cloud-native platforms.\nExperience leading engineers and driving technical delivery across cross-functional teams.\nExperience with platform automation, CI/CD pipelines and infrastructure as code.\nExperience operating within governed enterprise environments, with an understanding of security, risk and compliance requirements.\nTechnical Skills\nStrong knowledge ofAWS services, particularly in storage, compute, orchestration, monitoring and security.\nStrong experience withDatabricks or similar Data lakehouse technologies, including notebooks, workflows, cluster management and data processing patterns.\nStrong programming capability inPython andSQL.\nGood understanding ofSpark and distributed data processing concepts.\nExperience with data architecture, data modelling and modern lakehouse principles.\nFamiliarity with infrastructure-as-code and automation tooling such asTerraform,CloudFormation or similar.\nExperience with DevOps and engineering tooling such asGit, CI/CD platforms, containerisation, and workflow orchestration tools.\nUnderstanding of observability practices including logging, metrics, monitoring and alerting.\nSkills & Competencies\nStrong leadership and stakeholder management skills.\nExcellent problem-solving and analytical ability, with a pragmatic approach to delivery.\nStrong communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences.\nAbility to influence engineering direction and drive adoption of standards and best practices.\nComfortable operating in a fast-paced environment with multiple priorities and evolving requirements.\nPreferred\nExperience in financial services, insurance, pensions or other regulated environments.\nExperience supporting shared platforms used by multiple product or domain teams.\nExposure to data governance, metadata, lineage and access control frameworks.\nAWS certifications such asAWS Certified Solutions Architect,AWS Certified Data Engineer, or similar.\nDatabricks certification is an advantage.\nWhat Success Looks Like\nThe Vulcan platform is reliable, scalable and secure, with clear engineering standards and strong operational performance.\nEngineers are supported and mentored effectively, with improved delivery quality and team capability.\nPlatform users are able to build and run data products more efficiently through reusable, well-governed capabilities.\nAWS and Databricks services are used effectively to balance scalability, maintainability and cost.\nContinuous improvement is embedded into the team’s culture and engineering practices.\nMarsh (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.Marsh 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.Marsh 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.","description_format":"text","description_chars":9116,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Flexible schedule","Hybrid work","Professional development"],"hiring_locations":[{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-16T10:46:41Z"}],"visa":[],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.585,"p_room":0.9,"age_days":6,"expected_fill_days":10,"reasons":["conf:0","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/marsh-mclennan-senior-specialist-data-engineering","json_url":"https://alion.io/job/marsh-mclennan-senior-specialist-data-engineering.json","meta":{"generated_at":"2026-10-23T17:17:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":26266,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1769686},"rest":"https://alion.io/mcp/rest/get_company?id=1769686"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmarsh-mclennan-senior-specialist-data-engineering"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmarsh-mclennan-senior-specialist-data-engineering"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmarsh-mclennan-senior-specialist-data-engineering"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/marsh-mclennan-senior-specialist-data-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmarsh-mclennan-senior-specialist-data-engineering"}]}