Senior Data Engineer
We’re looking for a Senior Data Engineer to lead the design and delivery of scalable, high-quality data integrations across our organisation. In this role, you’ll take ownership of building reliable, governed integration workflows using Azure Logic Apps and a range of modern Azure services—helping ensure data flows seamlessly, securely, and efficiently across the business.
You’ll play a key role in shaping our integration landscape, driving continuous improvement, championing DevOps best practices, and mentoring junior engineers to uphold high engineering standards.
This is a remote position, with travel to Portsmouth and London as required (circa once per month), including at least one monthly team-facing day in London.
This senior role covers all integration pipelines and automations that support data movement across Bell. You will design, implement, and optimise integration workflows using Azure services, Logic Apps and Microsoft Fabric, ensuring governance, quality, and scalability in all integration processes.
As a Senior Data Integration Engineer, you will work closely with the Data and Analytics Team, and stakeholders across the business to ensure seamless data accessibility and usage across the organisation.
Role
- Design, develop, and maintain scalable, robust data integrations using Azure Logic Apps, Azure Storage Accounts, Azure API Management, Microsoft Fabric, and other Azure services
- Implement integration patterns such as event-driven workflows, API-based integrations, and scheduled orchestrations
- Ensure high availability, scalability, and security of integration workflows
- Collaborate with IT and system users to understand business requirements and ensure data accessibility and integrity
- Monitor integration solutions, troubleshoot failures, and proactively improve reliability
- Lead continuous improvement initiatives, driving adoption of best practices and emerging Azure integration technologies
- Support DevOps processes using Azure DevOps for CI/CD automation, version control, and deployment of Azure resources
- Provide technical guidance and mentoring to junior team members to support their development and uphold best engineering standards
- Ensure data security and compliance with industry standards and regulations, such as GDPR
- Document data processes and workflows for both technical and non-technical audiences
The Person
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field
- 5+ years of experience in data integration, automation, or data engineering roles
- 3+ years hands-on experience using Azure Logic Apps (essential), though Power Automate experience will be considered
- Strong experience working with Azure services such as Storage Accounts, Key Vault, Azure Functions, and API Management
- Experience developing analytics solutions using Microsoft Fabric or comparable Azure PaaS services (Azure Data Factory, Synapse, etc.)
- Experience building and deploying Azure solutions using Azure DevOps pipelines and ARM/Bicep/Terraform templates
- Proficiency with REST APIs, authentication methods (OAuth, Managed Identities), and system-to-system integration patterns
- Knowledge of data modelling techniques and best practices
- Proven track record of mentoring junior team members, with a desire to take on future line management responsibilities
- Experience with Purview and Power BI (desirable, not essential)
- Relevant certifications are desirable, including:
- DP-203 Azure Data Engineer
- DP-600 Fabric Analytics Engineer Associate
- AZ-900 Azure Fundamentals
- DP-900 Azure Data Fundamentals
- Strong problem-solving skills with attention to detail and the ability to troubleshoot complex data issues
- Excellent communication and collaboration skills, with the ability to work across teams to deliver solutions that meet business needs