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  • Posted: Feb 12, 2026
    Deadline: Not specified
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  • Datafin was established in 1999 due to the need for a specialized IT recruitment solution. We offer a personalized and flexible recruitment service, specializing in providing both client and candidate with the perfect fit. We pride ourselves on the fact that we have established relationships with industry leaders and a vast majority of our business is repeat...
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    Data Platform Infrastructure Engineer (Azure) (CPT)

    ENVIRONMENT:

    • A renowned Independent Asset Management Firm seeks a Data Platform Infrastructure Engineer in a hands-on Engineering role with a blend of architectural design, DevOps and governance responsibilities across Azure, Databricks, and on-premises environments.
    • You will play a pivotal role in building, maintaining, and evolving the firm’s Enterprise Data Platform from existing hybrid on-prem SQL and Azure Cloud technologies, into a fully Azure Cloud and Databricks architecture.
    • You will ensure a secure, scalable, and performant data platform infrastructure — enabling Analytics, Data Science, and Enterprise Data Integration across the business.
    • The ideal candidate will require a BSc Computer Science or equivalent, Microsoft AZ and/or DP Certifications, Databricks Data Platform, Data Engineer, Platform Architect Certifications and 7-10 years technology experience with proficiency in Azure Cloud Services, Bicep, Terraform, SQL Server, Python & FinOps awareness and cloud cost optimization experience.

    DUTIES:

    Platform Engineering & Management -

    • Build, configure, and manage Azure infrastructure components supporting the Core Data Platform.
    • Develop and maintain Infrastructure-as-Code using Bicep and Terraform.
    • Manage and maintain the Azure Databricks environments, including workspace creation, access management, and environment configuration.
    • Oversee Azure DevOps and GitHub pipelines for CI/CD of data infrastructure and integration components.
    • Implement FinOps practices to optimize cloud cost management and forecasting.

    Database & Integration Management -

    • Support on-premises SQL Server environments (3rd Line), including performance troubleshooting, tuning, and high-availability configurations.
    • Collaborate with Data Integration teams to ensure smooth data movement between on-premises and cloud environments.
    • Oversee and maintain secure, high-performance data pipelines and connectivity between systems.

    Security, Governance & Compliance -

    • Design and enforce role-based access controls (RBAC) across the Databricks platform and Core Data subscriptions.
    • Ensure compliance with internal security policies, regulatory standards, and data governance frameworks.
    • Implement and maintain platform monitoring, logging, and alerting for proactive issue resolution.

    Architecture & Standards -

    • Contribute to architectural design and technical standards for Azure and Databricks solutions.
    • Evaluate and recommend improvements to infrastructure patterns and automation processes.
    • Ensure platform architecture aligns with best practices, scalability, and resilience requirements.

    Collaboration & Continuous Improvement -

    • Partner with Data Engineering, Architecture, and Security teams to deliver end-to-end solutions.
    • Mentor junior engineers and promote knowledge sharing within the Core Data team
    • Identify automation opportunities to improve efficiency and platform reliability.

    REQUIREMENTS:

    Qualifications –

    • BSc Computer Science or equivalent.
    • Microsoft AZ and/or DP Certifications.
    • Databricks Data Platform, Data Engineer, Platform Architect Certifications.

    Experience/Skills -

    • 7-10 Years technology experience, with at least 3 years in the cloud platform/data platform roles.
    • Azure Cloud Services (compute, networking, storage, security, cost management).
    • Infrastructure as Code: Bicep and Terraform.
    • Azure Databricks management (workspace setup, security, clusters, policies).
    • Azure DevOps and/or GitHub Actions pipeline management.
    • Python scripting for automation and tooling.
    • SQL Server administration and performance tuning (3rd-line level).
    • FinOps awareness and cloud cost optimization experience.

    Advantageous –

    • Experience with Azure Monitor, Log Analytics, and Application Insights.
    • Knowledge of data governance tools.
    • Familiarity with CI/CD principles for data pipelines.
    • Understanding of data integration frameworks and patterns (ETL/ELT).
    • Exposure to enterprise identity management (Entra ID).

    ATTRIBUTES:

    • The ability to ‘approach and own’ and continuously looks for opportunities to develop.
    • High conviction and be comfortable sharing opinions.
    • The ability to build and maintain meaningful relationships.
    • A client-focused and collaborative approach.
    • A curiosity about technology and its potential to drive innovation.

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to Datafin Recruitment on datafin.com to apply

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