Senior Data Engineer - Azure Cloud Platform (Hybrid Oxford)

Tech4

Oxford

Hybrid

GBP 60,000 - 65,000

Full time

3 days ago
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Benefits offered by this job

Excellent benefits
Hybrid work: 2 days remote

Job summary

Tech4 is hiring a Senior Data Engineer to lead the development and maintenance of the cloud-based data platform using SQL, Azure Data Factory and Microsoft Fabric. You will collaborate across the Data & BI team to scope and redevelop data solutions for enterprise reporting and analytics.

The role requires strong SQL, Python and C# skills, with experience in ETL/ELT pipelines, data warehousing concepts and GDPR-compliant data handling. Hybrid work from Oxford is supported.

Qualifications

  • BSc/BA in Computer Science or related field.
  • 5+ years in Azure SQL Server, Azure Data Factory and Fabric.
  • Experience in Azure Data Warehousing; NoSQL bonus.
  • Advanced SQL CI/CD automation with Azure DevOps.
  • Proficient Git for version control.

Responsibilities

  • Develop and maintain the cloud-based data platform and ETL workflows.
  • Analyse information requests from business units to drive enterprise reporting.
  • Design, implement and maintain data stores (warehouses, marts) for reporting and analytics.
  • Collaborate with developers, product owners and analysts to design database applications and ETL jobs.

Skills

SQL
Python scripting
C#
Power BI
Agile/SCRUM
Stakeholder communication
GDPR compliance

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Factory
Microsoft Fabric
Azure SQL Server 2022
ETL/ELT workflows
Azure Synapse

Job description

Tech4 is hiring a Senior Data Engineer to lead the development and maintenance of the cloud-based data platform using SQL, Azure Data Factory and Microsoft Fabric. You will collaborate across the Data & BI team to scope and redevelop data solutions for enterprise reporting and analytics.

The role requires strong SQL, Python and C# skills, with experience in ETL/ELT pipelines, data warehousing concepts and GDPR-compliant data handling. Hybrid work from Oxford is supported.

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