Software Developer/ Engineer/ Architect



The aim of the new SMR Business Intelligence team is to deliver business value by providing insights to business users within a short time frame. This objective will require modernised data architecture and a good understanding of our data domains. The team will shift its focus from tools and technology to understanding the business questions that need to be answered, and the data required to answer them. If you have a passion for data insights and delivering business value, then participating in this Business Intelligence transformation is for you.

The Junior Azure Data Engineer is responsible for the end-to-end design and creation of pipelines in our data platform. They will work closely with the Data Engineer Team Lead and team to ensure new business requirements are delivered and existing solutions are monitored and supported.

The appropriate candidate should have a true affinity for data with a pragmatic approach, constantly looking to reduce complexity and increase clarity and maintainability. Our focus in BI is to deliver business value rather than build complex technical solutions – The Azure Data Engineer is an integral part of this principle.


  • Work closely with the Delivery and Business Intelligence teams on business requirements output and project deliveries
  • Build end to end data pipelines using modern Azure technologies
  • Provide data to end users and the Business Intelligence team who use Power BI and API Apps while implementing appropriate scheduling and data governance
  • Monitor ETL pipelines to ensure all processes are completed as expected
  • Adhere to overall data architecture and guiding principles
  • Azure data platform administrator responsibilities
  • Manage access control and security of the data platform
  • Support the documentation of the data objects and lineage in the data warehouse, the related business processes, and business use cases
  • Other tasks as required and directed by your line manager
  • Data Engineering knowledge
    • A minimum of 2-3 years of Azure Data Engineering experience
    • BI requirements / use cases
    • Data Analysis and Quality
    • Knowledge of Data Modelling principles
    • Data Warehousing
    • ETL/Pipelines development
    • Technical documentation
    • Problem solving
    • Familiarity with Power BI
  • BI Architecture
    • Knowledge and hands-on experience with proven data architecture patterns and best practices
    • Capable of balancing and adhering to guiding principles and being pragmatic
    • Focused on high value, low complexity solutions
    • Capable of balancing design between out of the box functionalities vs necessary customization
  • Application development knowledge
    • Application Lifecycle Management (ALM)
    • DevOps
    • Deployments, branching
    • Coding standards / best practices
  • Microsoft technical expertise (experience and certifications) of the latest and most important Microsoft BI technology, like:
    • Synapse
    • Databricks (Desirable)
    • ADF
    • Azure SQL (Desirable)
    • Azure Data Lake (Desirable)
    • Azure Analysis Services
    • Power BI Premium
    • Power Platform
  • Including hands on development experience


  • 22 days annual leave
  • 4 Company Days
  • Defined Contribution Pension
  • VHI Health Insurance
  • Life & Disability Insurance
  • Health & Wellbeing Initiatives – gym membership, wellbeing seminars, bike to work scheme
  • Flexible start & Finish times