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- Tasks: Develop and optimise data systems, build data pipelines, and support data integration.
- Company: Join the IPO, a modern organisation focused on innovative IT and Data services.
- Benefits: Enjoy hybrid working arrangements with flexibility between home and office.
- Why this job: Be part of a dynamic team driving impactful data solutions in a collaborative environment.
- Qualifications: Experience with Azure Data Factory, Python, and Agile methodologies is essential.
- Other info: Opportunity to work on large projects and enhance your technical skills.
The predicted salary is between 36000 - 60000 £ per year.
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 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:
- Development of data systems as required
- Development and optimisation of ETL layers
- Maximising opportunities to re-use existing data flows
- Providing 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.
Main duties consist of but are not limited to:
- 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 IPOs chosen technology.
- Support the vision for the organisations use of data in line with corporate goals and vision.
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
How to Apply: Click the 'Apply' button and complete the application form.
Contact Detail:
Intellectual Property Office Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Newport
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Azure Data Factory and Data Bricks. Consider building a small project or contributing to an open-source project that uses these tools to demonstrate your hands-on experience.
✨Tip Number 2
Network with current employees or professionals in similar roles through platforms like LinkedIn. Engaging in conversations about their experiences at IPO can provide valuable insights and potentially give you a referral.
✨Tip Number 3
Prepare to discuss your experience with Agile methodologies and DevOps principles during the interview. Think of specific examples where you've successfully implemented these practices in past projects to showcase your fit for the role.
✨Tip Number 4
Research IPO's corporate goals and vision regarding data usage. Tailor your discussions in interviews to align your skills and experiences with their objectives, demonstrating how you can contribute to their data engineering capabilities.
We think you need these skills to ace Senior Data Engineer in Newport
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Engineer role. Focus on your expertise in Azure Data Factory, Data Bricks, and Python, as well as any experience with data cleansing and preparing datasets.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the IPO's goals. Mention specific projects where you've successfully implemented data solutions and how you can contribute to their vision.
Showcase Your Technical Skills: In your application, provide examples of your technical skills, particularly in designing scalable solutions and using modern delivery models like Scrum. Highlight any experience with DevOps principles and Azure DevOps.
Engage with the Company Culture: Research the IPO's working style and values. In your application, express your willingness to adapt to their hybrid working arrangements and your enthusiasm for collaborating within multi-functional teams.
How to prepare for a job interview at Intellectual Property Office
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure Data Factory, Data Bricks, and Python. Bring examples of projects where you've successfully implemented these technologies, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand the Company’s Vision
Research the IPO's goals and how they utilise data in their operations. Being able to articulate how your skills align with their vision will show that you are not only a good fit technically but also culturally.
✨Demonstrate Agile Experience
Since the role involves working within multi-functional teams, be ready to discuss your experience with Agile methodologies like Scrum. Share specific examples of how you've contributed to team success in an Agile environment.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the team dynamics, current projects, and the technologies they are using. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
