At a Glance
- 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 data solutions that impact users nationally and internationally.
- Qualifications: Experience with Azure Data Factory, Python, and Agile methodologies is essential.
- Other info: This role is based in Newport, with opportunities for professional growth and development.
The predicted salary is between 46262 - 56996 £ per year.
£46,262 - £56,996. Published on 26 June 2025. Deadline 6 July 2025. Location: Newport, NP10 8QQ.
About the job
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 IPO’s chosen technology.
- Support the vision for the organisation’s use of data in line with corporate goals and vision.
Person specification
- 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.
- 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 now' button and complete the application form by providing the following: Your CV. Upload an anonymised copy of your current CV. Make sure it clearly shows how you meet the essential criteria listed in the Person Specification.
For further information on the sift and interview stages of this recruitment campaign, please head to our 'Things you need to know' section below. If you require job-specific information, please contact Alex Barrell. E-mail: Alex.Barrell@IPO.gov.uk.
Behaviours
We’ll assess you against these behaviours during the selection process:
- Developing Self and Others
- Delivering at Pace
- Working Together
Technical skills
We’ll assess you against these technical skills during the selection process.
Senior Data Engineer - IPO - SEO employer: Manchester Digital
Contact Detail:
Manchester Digital Recruiting Team
Alex.Barrell@IPO.gov.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - IPO - SEO
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Azure Data Factory and Data Bricks. Having hands-on experience or projects showcasing these tools can significantly boost your chances.
✨Tip Number 2
Network with current employees or professionals in similar roles within the IPO. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with Agile methodologies and DevOps principles. Be ready to share examples of how you've applied these practices in past projects, as they are crucial for this role.
✨Tip Number 4
Understand the importance of data accessibility and integration within a cloud environment. Be prepared to articulate how you would approach building data pipelines and enhancing data services in line with the IPO's goals.
We think you need these skills to ace Senior Data Engineer - IPO - SEO
Some tips for your application 🫡
Understand the Job Description: Carefully read through the job description and person specification. Make sure you understand the key responsibilities and required skills for the Senior Data Engineer role, as this will help you tailor your application.
Tailor Your CV: When uploading your CV, ensure it highlights your experience with Azure Data Factory, Data Bricks, Python, and other relevant data tooling. Clearly demonstrate how your skills align with the essential criteria listed in the person specification.
Craft a Strong Cover Letter: Write a cover letter that addresses your motivation for applying and how your background makes you a suitable candidate. Mention specific projects or experiences that showcase your ability to deliver technical solutions and work within Agile frameworks.
Prepare for Behavioural Questions: Be ready to discuss how you embody the behaviours they are looking for, such as Developing Self and Others, Delivering at Pace, and Working Together. Prepare examples from your past experiences that illustrate these behaviours.
How to prepare for a job interview at Manchester Digital
✨Know Your Tech Stack
Make sure you're well-versed in Azure Data Factory, Data Bricks, and Python. Be prepared to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Be ready to share specific examples of complex business problems you've solved using data engineering solutions. Highlight your role in the project and the impact of your contributions.
✨Understand Agile Methodologies
Familiarise yourself with Scrum and other Agile practices, as well as DevOps principles. Be prepared to discuss how you've applied these methodologies in your previous roles.
✨Engage with Stakeholders
Demonstrate your ability to build relationships with stakeholders. Share examples of how you've collaborated with different teams to understand their needs and deliver effective data solutions.