Base salary: Β£44,380pa to c.Β£52,212pa depending on skills and experience. In addition, we offer flexible benefits fund of 15% which is paid on top base salary and is fully pensionable, as well as a range of competitive benefits - check them out in the Benefits section on our website.
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HS2 Ltd endeavours to ensure everyone working for us and with us feels included, thrives and achieves their full potential. In practice, this means we are positive and inclusive about making adjustments, providing flexible working, encouraging our staff networks to flourish and providing personal and professional development opportunities.
Job Purpose
This role is responsible for designing and leading the implementation of data flows to connect operational systems, data for analytics and business intelligence (BI) systems to ensure the effective use of valuable information and data throughout HS2.
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About the Role
- To have overall accountability for the life-cycle of specific data engineering projects. This includes identifying a specific business need, data gathering, specifying requirements, determining the best tools, data and techniques to address it, undertake analysis, ongoing deliverables and presentations.
- To be responsible for engaging with Product Owners, Information Asset Owners, IT and Business colleagues to elicit the underlying causes of business problems and inefficiencies, supporting their design objectives with clear insights.
- To be responsible for inspiring best practice for data products and services within the team and across HS2.
- To be responsible for working with other team members and the Senior Data Analytics Manager to identify, plan, develop, and deliver data services.
- To be accountable for designing, developing, and deploying information and data management process-flow systems through to implementation.
- To be responsible for being up to date with progress Data Engineering and emerging technologies across Government.
- To be responsible for developing Data Engineering models that can be re-used.
- Actively promote and embed Equality Diversity and Inclusion (EDI) in all your work, and support and comply with all organisational initiatives, policies and procedures on EDI.
About You
Skills:
- Data development process. Ability to design, develop and test data products that are complex or on a large-scale. Ability to articulate how teams can complete data integration services.
- Data integration design. Ability to select and implement appropriate technologies to deliver resilient, scalable and future-proofed data solutions.
- Problem resolution (data). Ability to identify and respond to problems in databases, data processes, data products and services.
- Programming and build (data engineering). Ability to use standards and tools to design, code, test, correct and document programs and scripts from agreed specifications and subsequent iterations.
Knowledge:
- Knowledge of a range of cloud-based tools and technologies and importance of the role of data integration and process flow.
- Knowledge of innovative data tools and how these can be applied.
Type of experience:
- Experience of developing fit for purpose, resilient, scalable and future-proof data services to meet user needs.
- Experience of applying data engineering techniques.
- Experience of producing re-usable data models.
We ask for a variety of detail in your online application, however we perform the first assessment of suitability for a role based solely on the information in your CV. In a further development of our efforts to create a more diverse workforce, your CV will be anonymised and personal information will be removed during the first stage of the application review. This removes bias from the process and makes it even more important that you attach an updated word version of your CV for each new application ensuring you include evidence directly related to the criteria in the job advert. Watch this video on how we remove bias in the recruitment process: Removing bias in the recruitment process β YouTube.
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Any applications received after the closing date will not be considered.