Allianz

2 months ago

Senior Data Engineer (MLOps Engineer)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Senior Data Engineer responsible for building and operating production-scale data and ML systems in a cloud environment, with emphasis on real-time services, containerised deployments, IaC, and CI/CD in hybrid work settings.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Design, build, and operate production-ready data and ML services, including real-time endpoints serving 10M+ requests daily.
•Build, deploy and orchestrate Docker containers, optimizing for performance and resource use.
•Design, build and maintain cloud R&D solutions using IaC tools like Terraform.
•Build and maintain monitoring systems to track model performance, infrastructure health, and security of ML systems.
•Develop CI/CD processes to automate workflows using Azure DevOps or similar tools.

Pay and Benefits

Salary: GBP 60,000 annually

Perks:Hybrid WorkingAnnual BonusPensionRetail DiscountsVolunteering Days

Key Requirements

•Experience deploying, monitoring and maintaining production data and ML services, including real-time endpoints serving millions of requests daily.
•Containerisation (Docker) and service orchestration (Kubernetes or similar).
•Cloud infrastructure engineering for data/predictive services, with Terraform and Azure or other clouds.
•CI/CD automation using Azure DevOps or GitHub Actions, including automated testing, packaging and deployment processes.
•Strong Python development for production-grade data pipelines and services, with SQL and data tooling such as dbt, Microsoft Fabric, and SQLMesh.

Experience:Data engineeringCloudMachine learningPython

Skills:CommunicationProblem-solvingCollaborationTeamworkAgile

Languages:English

Tech Stack:DockerKubernetesPythonPySparkSQLDbtTerraformAzureAzure DevOpsGitHub ActionsMicrosoft FabricSQLMesh

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

Website LinkedIn

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Allianz

2 months ago

Senior Data Engineer (MLOps Engineer)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Design, build, and operate production-ready data and ML services, including real-time endpoints serving 10M+ requests daily.
•Build, deploy and orchestrate Docker containers, optimizing for performance and resource use.
•Design, build and maintain cloud R&D solutions using IaC tools like Terraform.
•Build and maintain monitoring systems to track model performance, infrastructure health, and security of ML systems.
•Develop CI/CD processes to automate workflows using Azure DevOps or similar tools.

Pay and Benefits

Salary: GBP 60,000 annually

Perks:Hybrid WorkingAnnual BonusPensionRetail DiscountsVolunteering Days

Key Requirements

•Experience deploying, monitoring and maintaining production data and ML services, including real-time endpoints serving millions of requests daily.
•Containerisation (Docker) and service orchestration (Kubernetes or similar).
•Cloud infrastructure engineering for data/predictive services, with Terraform and Azure or other clouds.
•CI/CD automation using Azure DevOps or GitHub Actions, including automated testing, packaging and deployment processes.
•Strong Python development for production-grade data pipelines and services, with SQL and data tooling such as dbt, Microsoft Fabric, and SQLMesh.

Experience:Data engineeringCloudMachine learningPython

Skills:CommunicationProblem-solvingCollaborationTeamworkAgile

Languages:English

Tech Stack:DockerKubernetesPythonPySparkSQLDbtTerraformAzureAzure DevOpsGitHub ActionsMicrosoft FabricSQLMesh

Company Brief

Allianz

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

Website LinkedIn