Azure Data Engineer- Hybrid

The Role

We are looking for a hands-on Azure Data Engineer who will lead the final phase of our Client's cloud migration and design the enterprise-grade data platform from the ground up. This is a hybrid role with a strong technical focus—blending architecture, automation, and data engineering—to empower s next generation of AI and BI capabilities.

About The Company

The Company is a dynamic, global procurement consultancy operating across Europe, the US, and APAC. As they scale globally and accelerate their AI capabilities, they are completing their transition to the cloud and building a company-wide data platform to power insight-driven transformation for their consultants and clients

Required Skills & Experience

Must-Haves:

  • 3+ years of hands-on Azure engineering experience (IaaS PaaS), including Infra as Code.

  • Strong SQL skills and proficiency in Python or PySpark.

  • Built or maintained data lakes/warehouses using Synapse, Fabric, Databricks, Snowflake, or Redshift.

  • Experience hardening cloud environments (NSGs, identity, Defender).

  • Demonstrated automation of backups, CI/CD deployments, or DR workflows.

Nice-to-Haves:

  • Experience with Azure OpenAI, vector databases, or LLM integrations.

  • Power BI data modeling, DAX, and RLS.

  • Certifications: AZ-104, AZ-305, DP-203, or AI-102.

  • Knowledge of ISO 27001, Cyber Essentials+, or SOC 2 frameworks.

  • Exposure to consulting or professional services environments.

  • Familiarity with the Power Platform.

  • Awareness of data privacy regulations (e.g., GDPR, CCPA).

Soft Skills
  • Consultative mindset - can turn business questions into technical outcomes.

  • Comfortable switching hats: architect, hands-on builder, and mentor.

  • Clear communicator, able to work effectively across time zones and teams.

  • Thrives in a small, high-trust, high-autonomy team culture.

  • Day-to-Day Responsibilities
    • Infrastructure & Automation: Deploy and manage infrastructure using Bicep/Terraform, GitHub Actions, and PowerShell/DSC.

    • Data Engineering: Architect and implement scalable ETL/ELT solutions; model schemas, optimize performance, and apply lakehouse best practices.

    • Security & Resilience: Implement best-practice cloud security (NSGs, Defender, Conditional Access), automate DR/backups, and run quarterly restore drills.

    • Collaboration: Partner with AI Product Owners, Business Performance, and Data Analysts to translate business needs into robust data solutions.

    • Mentorship & Knowledge Sharing: Act as a data SME—guiding system administrators and upskilling junior technical team members.

What You'll Achieve in Year 1

Months 3-12:

  • Design and build their Azure data lake using Synapse, Fabric, or an alternative strategy.

  • Ingest data from core platforms: NetSuite, HubSpot, and client RFP datasets.

  • Automate data pipelines using ADF, Fabric Dataflows, PySpark, or SQL.

  • Publish governed datasets with Power BI, enabling row-level security (RLS).

By Year-End:

  • Deliver a production-ready lakehouse powering BI and ready for AI/Gen-AI initiatives.

  • Position the business to rapidly scale data products across regions and services.

What’s in It for You
  • Greenfield opportunity: Shape and deliver the first enterprise data platform.

  • Career growth: Scale with the company into Lead Data, Cloud, or Solution Architect roles.

  • Hybrid flexibility: Remote-first with 2-3 days/week onsite in Cardiff office .

  • Development: Funded certifications, dedicated R&D time, access to Company networks and resources.

Company
Octad Recruitment Ltd
Location
Cardiff, South Glamorgan, Wales, United Kingdom
Hybrid / WFH Options
Employment Type
Full-Time
Salary
£60,000 - £90,000 per annum
Posted
Company
Octad Recruitment Ltd
Location
Cardiff, South Glamorgan, Wales, United Kingdom
Hybrid / WFH Options
Employment Type
Full-Time
Salary
£60,000 - £90,000 per annum
Posted