Data Engineer
Role details
Job location
Tech stack
Job description
Government Commercial Agency has an exciting opportunity for a Data Engineer to join the Data and Insights team. The role will require engagement with all levels of the business, and with key strategic external customers, to define requirements and embed best practise around data standards and the use of data. The role holder will be responsible for translating business needs into a robust and sustainable data architecture that leverages the full suite of technology solutions to provide intelligence to the organisation., * Strategy & Architecture: Delivering the data strategy, improving Data Architecture, and ensuring data models, Data Warehouse Structures, and API interfaces are robust and scalable.
- BI & Implementation: Supporting the implementation of third-party Business Intelligence solutions, establishing technical standards for interoperability, and having oversight of related projects.
- Stakeholder Engagement: Working with Data Infrastructure and Data Insights teams, as well as operational customers, to deliver "Business Intelligence as a service" with excellence. Delivering the data strategy, improving Data Architecture, and ensuring data models, Data Warehouse Structures, and API interfaces are robust and scalable.
- BI & Implementation: Supporting the implementation of third-party Business Intelligence solutions, establishing technical standards for interoperability, and having oversight of related projects.
- Strategy & Architecture: Delivering the data strategy, improving Data Architecture, and ensuring data models, Data Warehouse Structures, and API interfaces are robust and scalable.
- BI & Implementation: Supporting the implementation of third-party Business Intelligence solutions, establishing technical standards for interoperability, and having oversight of related projects.
- Stakeholder Engagement: Working with Data Infrastructure and Data Insights teams, as well as operational customers, to deliver "Business Intelligence as a service" with excellence. Stakeholder Engagement: Working with Data Infrastructure and Data Insights teams, as well as operational customers, to deliver "Business Intelligence as a service" with excellence., GCA operates a smarter working model that balances flexibility with collaboration. Successful candidates are expected to spend at least 26 days per quarter (approximately 2 days per week, pro-rata) at their contracted office, another GCA site, or off-site for meetings. For the remainder of the time, you may work from home or another suitable location that meets business needs.
Requirements
Do you have experience in SQL?, Are you passionate about data and insights, building skills, and embedding best practices at GCA in this field? Do you excel at root cause analysis, problem solving, and complex process mapping? Are you ready for a challenge? Join our data strategy team at this exciting time as we embark on a journey to transform the use of data and insights in both our directorate and our organisation., * Understanding of Data Warehousing administration and development with specific emphasis on Azure Data Warehouse, SQL and the wider suite of Azure tools.
- Understanding of the development and management of API integrations (Experience with Salesforce, Workday and bespoke solutions).
- Experience in delivering against defined business needs and implementing innovative solutions to meet those needs and ensure data quality is maintained and enriched.
- Experience in data model development and system design.
Desirable criteria (In the event of a high number of applications, the desirable criteria will be used as a second sift):
- Appreciation of the Business Intelligence marketplace and the capabilities of BI tools.
- Experience of working across a variety of data projects simultaneously., * Making Effective Decisions
- Changing & Improving
- Managing a Quality Service
Technical: (Please note if successful at sift there will be a technical test at interview)
- Data integration design
- Programming and build (data and analytics engineering)
Benefits & conditions
Pulled from the full job description
- Company pension
- Work from home, * Competitive salary
- Generous pension scheme
- A discretionary non-contractual performance related bonus
- Working remotely in addition to working in advertised office location
- Flexi time scheme (available for B1-B6)
- Minimum 25 days annual leave to a maximum service related 30 days excluding bank holidays
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