To design, code, test, debug, and maintain programs in development environments. Apply agreed standards and tools, to achieve a well-engineers result. Work within a strict framework of programming standards under supervision of senior technical resources.
Qualifications
A Degree in Information Technology is required.
Experience:
5-7 years Broad experience in translating business and functional requirements into technical specifications and developing the programming code to create the solutions.
8-10 years Proven experience in modern engineering practices i.e. dev ops, agile etc., Proven experience across multiple, broad IT Engineering disciplines, with demonstrated specialisation in at least one. Experience within the required scope of expertise.
Azure Cloud Experience:
Hands on experience of Infrastructure as a Service (IaaS), Platform as a service (PaaS).
Data engineering skills using Azure Synapse Analytics Studio.
Data modelling and Extract, Transform and Load process (ETL) experience
Experience of Azure DevOps and SAFe agile practices.
Azure cloud knowledge - Build and support cloud platform (IaaS and PaaS).
Knowledge of data engineering tools in Microsoft Azure e.g. Synpase, Azure data factory
Knowledge of Azure DevOps setup and management.
Additional Information
Key Responsibilities:
Adhere to application lifecycle management accountabilities, architectural platforms and guardrails and ensure that all activity is digitally recorded and tracked to enable continuous delivery and development in the engineering environment, by effectively collaborating with stakeholders to deliver on required target to add value to the clients.
Adopt and adhere to suitable and agreed development methodologies and principles through work outputs and behaviours that enables continuous delivery and development across the production environment as well as ensuring effective collaboration with all colleagues and stakeholders in order to meet required targets and therefore deliver value to the customer.
Develop code, build, assemble, implement, test and perform data conversion for applications and ensure that processes are accurately documented. Perform system enhancements for the applications as required to ensure the delivery of the engineering function.
Construct, interpret and execute moderate to complex end to end system and program tests to verify correct operation of completed systems, to ensure that technical requirements are adhered to and test execution activities to ensure seamlessly and effective implementation engineering systems.
Contribute to programmes and platforms for the processing, analysis and visual display of data, integrating new and existing data sources and ensuring the validity and reliability of data to support data driven decision making as required. Ensuring continuous deployment and operation to deliver the engineering objectives.
Develop, complete and update all required documentation as per the scope, including guidelines and checklists for development and testing purposes, to ensure that that the state and quality is clearly communicated and documented.
Engage with leads to receive feedback on work completed and communicate any concerns, issues, risks and progress regarding work output to enable a culture of continuous development and learning and aim to resolve all issues and risks.
Behavioural Competencies:
Adopting Practical Approaches
Articulating Information
Checking Things
Developing Expertise
Documenting Facts
Embracing Change
Examining Information
Interpreting Data
Managing Tasks
Producing Output
Taking Action
Team Working
Technical Competencies:
Agile Engineering
API Engineering
Automation
Cloud Computing
Continuous Delivery (CD)
Continuous Deployment
Continuous Integration (CI)
Core Systems
Data Engineering
Design Thinking
Error Budgets
Incident Response
Infrastructure as Code (IaC)
Knowledge Management
Microservices
Non-abstract Large System Design (NALSD)
Observability (Application and Web Analytics)
Platform Engineering
Policy as Code
Post-incidence Analysis
Reliability and Resilience
Security Engineering
Service Level Management
Software Engineering Methods
Software Engineering Service Level Management
Software Engineering Tools
Software Foundations
System Integration
Test-driven Design (TDD)
Threat Modelling
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