Senior Data Engineer - Intellectual Property Office - SEO

Location

Newport, NP10 8QQ

About the job

Job summary

Senior Data Engineer

The IPO is a modern organisation which depends on its IT and Data services to operate and innovate effectively. In order to provide up to date services to our customers both nationally and internationally, our systems need to be developed, improved and maintained.

As a Senior Data Engineer, situated within our Digital, Data and Technology (DDaT) Chief Data Office, you will work within a multi-functional delivery team, responsible for the delivery of the robust data services and designs. You will need the appetite to learn new technologies and methodologies for delivering high quality IT services. In this role you will work within a multi-disciplinary squad using several technologies to build enterprise grade services.

Specific responsibilities for this role include the development of data systems as required, development and optimisation of ETL layers, maximising opportunities to re-use existing data flows and provide support in relation to data platforms and data integration within our cloud estate.

Working Style

This role will be carried out in-line with IPO Hybrid working arrangements where staff are currently expected to spend at least 20% of their time working onsite from one of our offices. This role is based in our Newport Office.

The requirement for attendance at an office location can vary by role so we would encourage candidates to discuss working arrangements with the recruiting manager to agree a reasonable balance between working from home and the office.

Job description

Main duties consist of but are not limited to:

Technical

• Be responsible for data enhancements and executing plans that utilise the current toolkit and the skills of the team to deliver these.
• Contribute to the development of a world class Data Engineering capability for IPO IT & Data.
• Work closely with our Data Management and Business Intelligence Teams to drive solutions that ensure ease of access to data and help them to work with data more effectively and efficiently.
• Build IPO data pipelines, owning the data engineering artefacts.
• Build solutions to move data internal & external to IPO.
• Engage with stakeholders to build relationships and to gain a thorough understanding of key IPO user groups and design decisions.
• Work across groups, projects, and products to implement data engineering solutions to solve complex business problems, using the IPO’s chosen technology.
• Support the vision for the organisation’s use of data in line with corporate goals and vision.

Behavioural

• Understanding yourself to be a leader (and the impact of your behaviour on others in a project team focused on results)
• Engaging Stakeholders (for mutually beneficial collaborative relationships outside of the team)
• Share knowledge and expertise with your wider team, aspire to be a role model within the organisation, champion our culture of learning, development, cross-company collaboration and teamwork
• Work across several multi-disciplinary teams to deliver highly focused and successful digital services
• Provide project / delivery management support when required
• Embrace a continuous improvement ethos
• Effective management and delegation of tasks within the team
• Applies “progress over perfection” principle
• Take full responsibility for decisions and deliveries
• Maintain inner composure, recovering quickly from setbacks and learning from the experience
• Highly driven and inspires others to move things along and make things happen

Personal and Team Development

• Drive your own training and self-development, keeping skills up to date and learning new skills
• Take responsibility for ensuring that the team test and build activities follow agreed governance and processes
• Promote and display the IPO and Civil Service Values
• Guide more junior members in their personal development
• Coach and mentor colleagues
• Continuously improves technical knowledge and stays abreast of latest trends

Person specification

Essential Technical

• Experience of Azure Data Factory (ADF), Data Bricks, Python and other data tooling
• Evidence an ability to design, code, test, correct and document simple programs or scripts.
• Experience of cleansing, preparing and formatting data sets.
• Awareness of designing scalable solutions and future-proof data services.

Essential Experience

• Has been a key player in delivering technical solutions as part of large projects
• Experienced with modern delivery models such as Scrum and other Agile
• Advocate of DevOps principles
• Experience with Azure DevOps