Starry Care
Senior Data Engineer
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Company Description
Starry Care UK Limited is a Recruitment and staffing Agency focused on enhancing quality of life for individuals and communities. The organization offers specialist recruitment and HR services tailored to professional Organizations, helping them meet their staffing and care delivery needs.
Role Description
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.
Duties
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.
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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
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Role Profile
- 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
Relevant Skills and Experience
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
Desirable
- Experience of Data Modelling
- Experience of Data Governance
- Understanding of data science principles
- PySpark
- Informatica tools (IDQ and CDI)
- Ability to write APIs using Python or C#
- Elastic Search
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