Senior Specialist - Data Engineering (Lead Engineer, Vulcan Platform)

About the role

Marsh is looking for a Lead Engineer to join its Vulcan Platform Team in Madrid. The role provides technical leadership in designing, delivering and optimising platform and data engineering capabilities that support scalable, secure and reliable data products. It suits someone with strong cloud-native experience, especially AWS and Databricks, who can lead engineers while staying hands-on with architecture, design and delivery.

Key responsibilities

• Lead, coach and mentor engineers, set engineering standards (code quality, testing, documentation, CI/CD) and support architecture reviews and prioritisation of platform improvements.
• Design, build and maintain scalable, resilient and secure platform capabilities on AWS and Databricks, including reusable services, patterns and frameworks.
• Drive lakehouse-oriented and event-driven architectures, automation and infrastructure-as-code approaches.
• Oversee data pipelines, ingestion frameworks and transformation workflows, and support scalable processing with Databricks, Spark and AWS services.
• Ensure data quality, observability, lineage and operational supportability, and partner with product and domain teams on shared platform capabilities.
• Use AWS services such as S3, Lambda, Glue, Step Functions, RDS, IAM and CloudWatch, embed security, compliance and governance, and improve monitoring, alerting, logging and incident response.
• Support cost management, developer experience, release processes and continuous improvement through retrospectives and metrics.

Required profile

• Bachelor's degree in Computer Science, Engineering, Information Technology or a related discipline, or equivalent practical experience.
• Significant experience in software, platform or data engineering, with proven senior or lead capacity.
• Proven experience building and supporting scalable data pipelines, distributed processing workloads and cloud-native platforms.
• Experience leading engineers and working in governed enterprise environments with security, risk and compliance awareness.
• Preferred: experience in financial services, insurance or pensions, shared platforms for multiple teams, data governance and lineage frameworks, and AWS or Databricks certifications.

Required skills

• AWS services, particularly storage, compute, orchestration, monitoring and security.
• Databricks or similar data lakehouse technologies, including notebooks, workflows and cluster management.
• Python and SQL; good understanding of Spark and distributed data processing.
• Data architecture, data modelling and lakehouse principles.
• Infrastructure-as-code (Terraform, CloudFormation or similar), Git, CI/CD, containerisation and workflow orchestration.
• Observability: logging, metrics, monitoring and alerting.