Senior Azure Data Engineer | Data Platform Lead

Hippo Digital Limited

United Kingdom

Remote

GBP 70,000 - 100,000

Full time

6 days ago

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Benefits offered by this job

Contributory Pension Scheme

25 Days Holiday

Perkbox access

Critical illness cover

Life assurance and death in service

Volunteer days

Cycle-to-work scheme

Salary sacrifice electric vehicles

Season ticket loans

Wellbeing sessions

Private health cover

Private dental cover

Additional pension contributions

Additional holidays

Wellbeing contribution

Charity contributions

Tree planting

Job summary

Hippo Digital Limited in Leeds is seeking a Senior Azure Data Engineer to join our Managed Services team. You will lead data engineering across client environments, applying CI/CD, DevOps practices and data platform expertise to deliver reliable, scalable solutions in collaboration with multi-disciplinary teams.

The role requires hands-on Python, T-SQL, Azure Data Factory, Microsoft Fabric, SSIS, and experience with Azure DevOps and IaC.

Qualifications

Production data pipelines and platforms experience.
Strong SQL Server and T‑SQL knowledge with performance tuning.
Python scripting for automation.
Hands-on with Microsoft Fabric and Azure Data Factory, including orchestration.
Experience with SSIS for ETL and legacy data integration tasks.
CI/CD pipelines using Azure DevOps.
Infrastructure as Code: Bicep, Terraform, or ARM.
Familiarity with Power BI, Synapse Analytics, or other MS data tools.
Experience with Agile methodologies (Scrum, Kanban) and TDD environments.
Strong communication with both technical and non-technical stakeholders.
Experience in managing multiple client environments for stability and performance.

Responsibilities

Demonstrate technical expertise within the Hippo’s Managed Services and wider data communities to ensure user-centred, automated infrastructure is developed based on business requirements and best practices.
Support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS.
Monitor, troubleshoot, and proactively resolve data pipeline issues across multiple client environments.
Design and implement robust CI/CD practices for data workflows and deployments.
Lead on performance tuning, data optimisation, and platform reliability improvements.
Collaborate with stakeholders to gather requirements, deliver updates, and translate complex data issues into clear actions.
Maintain strong client relationships with a focus on reliability, trust, and value delivery.
Share best practices and mentor junior data engineers within the team.
Champion continuous improvement in development practices, testing, and deployment.