Senior Azure Data Engineer – Hybrid + Relocation Support

Hippo Digital; Birmingham; On-site; GBP 59,000 - 99,000; Full time

Benefits offered by this job

Hybrid working

Relocation support up to £8,000

Pension

Holiday allowance

Wellbeing support

Flexible benefits

Travel to UK offices or client sites

Job summary

Hippo Digital is seeking a Data Engineer to join our Managed Services team in the UK.

You will support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS, monitor pipelines, troubleshoot issues across client environments, and design robust CI/CD practices for data workflows.

The role requires strong T‑SQL/SQL Server, Python scripting, and experience delivering data projects in Agile settings. Location is hybrid with potential travel to client sites.

Qualifications

• Proven experience as a Data Engineer supporting production data pipelines and platforms.
• Strong knowledge of T-SQL and SQL Server, including performance tuning and query optimisation.
• Experience with scripting languages such as Python for automation.
• Hands-on experience with Microsoft Fabric and Azure Data Factory, including pipeline orchestration, linked services, environment management, and parameterisation.
• Experience with SSIS for ETL processes and legacy data integration tasks.
• Expertise in designing and implementing CI/CD pipelines using tools such as Azure DevOps.
• Experience with Infrastructure as Code, such as Bicep, Terraform, or ARM templates.
• Familiarity with Power BI, Synapse Analytics, or other components of the Microsoft data ecosystem.
• Proven ability to work within Agile methodologies, such as Scrum and Kanban, and Test‑Driven Development environments.
• Strong communication skills, with the ability to engage both technical and non‑technical stakeholders.
• Experience managing multiple client environments, ensuring stability and performance optimisation.
• Understanding of data governance, data quality, and metadata management practices is desirable.
• Exposure to IT Service Management tools like ServiceNow is desirable.
• Knowledge of monitoring tools like Azure Monitor and Log Analytics is desirable.

Responsibilities

• Demonstrate technical expertise within our 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 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.
• Provide technical leadership and hands‑on engineering as part of a multi‑disciplinary team.
• Act as a Senior Consultant delivering Data Engineering services to our clients.
• Be part of the on‑call rota as part of our Managed Services Team.

Skills

Data engineering

SQL Server tuning

Python scripting

CI/CD pipelines

Agile methodologies

Stakeholder communication

Mentoring juniors

On-call experience

Performance optimisation

Tools

Azure Data Factory

SSIS

Power BI

Azure Monitor

Log Analytics

Terraform

Bicep

ARM templates

SQL Server / T-SQL

Microsoft Fabric

Synapse Analytics

ServiceNow

Job description

Hippo Digital is seeking a Data Engineer to join our Managed Services team in the UK.

You will support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS, monitor pipelines, troubleshoot issues across client environments, and design robust CI/CD practices for data workflows.

The role requires strong T‑SQL/SQL Server, Python scripting, and experience delivering data projects in Agile settings. Location is hybrid with potential travel to client sites.