Lead Data Engineer (MLOps)

Allianz
London, Bristol
Workplace: HybridFull timeFunction: Administration & Executive AssistanceExperience: 5+ yearsSkills: ["Self-starter","Strategic thinking","Comfortable with ambiguity","Relationship building","Explaining technical concepts"]

Lead the adoption of MLOps across CI/CD, containerisation, monitoring, testing, and deployments. Build and maintain production data and ML pipelines using Python and SQL, while delivering scalable cloud-based Data Science products on Azure. Define technical direction, improve engineering practices, and mentor Data Engineers. Collaborate with business and technology stakeholders to ensure strong deployment practices, data governance, and compliance with internal policies and regulations.

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FursaFursa
Allianz
Allianz
1 day ago

Lead Data Engineer (MLOps)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Lead the adoption of MLOps across CI/CD, containerisation, monitoring, testing, and deployments. Build and maintain production data and ML pipelines using Python and SQL, while delivering scalable cloud-based Data Science products on Azure. Define technical direction, improve engineering practices, and mentor Data Engineers. Collaborate with business and technology stakeholders to ensure strong deployment practices, data governance, and compliance with internal policies and regulations.
Location: London, Bristol
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Administration & Executive Assistance

Key Responsibilities

  • •Define and drive adoption of MLOps standards across CI/CD, containerisation, monitoring, alerting, testing, and deployment.
  • •Write high-quality, well-tested Python code for production pipelines and services.
  • •Lead delivery and continuous improvement of Data Science products that support and enhance MLOps processes.
  • •Develop scalable processes and workflows, and implement best practices that add value to the business.
  • •Mentor and develop Data Engineers and collaborate with business and technology teams, including Azure architects and external experts.

Pay and Benefits

Salary: GBP 80,000 annually
Perks:Contributory PensionFlexible Benefits

Key Requirements

  • •5+ years’ experience in a Data/ML/Platform Engineering role with strong MLOps expertise.
  • •Strong programming in Python and SQL for production pipelines and services.
  • •Hands-on experience with Kubernetes and Docker.
  • •Experience with cloud services (such as Azure, AWS, or GCP) to design and build ML products, pipelines, and platforms.
  • •Understanding of the software development life cycle, DevOps, and MLOps methodologies for continuous integration, testing, and deployment of data and model pipelines.
Experience:5+ yearsMLOpsData/ML/Platform Engineering
Skills:Self-starterStrategic thinkingComfortable with ambiguityRelationship buildingExplaining technical concepts
Tech Stack:AzurePythonSQLDbtKubernetesDockerTerraformDatabricksAzure DevOpsGitHubAWSGCPCI/CDContainerisationMonitoringAlertingTestingDeploymentCloud services

Company Brief

Allianz
Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.
Industry: Insurance
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Munich, Germany
Founded: 1890
WebsiteLinkedIn