At a Glance
- Tasks: Join a dynamic team to develop and optimise data systems using cutting-edge technologies.
- Company: Be part of the innovative Intellectual Property Office, shaping the future of data services.
- Benefits: Enjoy competitive salary, hybrid working, unlimited learning access, and generous annual leave.
- Other info: Great career progression opportunities in a collaborative and inclusive workplace.
- Why this job: Make a real impact in data engineering while growing your skills in a supportive environment.
- Qualifications: Experience with Azure Data Factory, Python, and a passion for data solutions.
The predicted salary is between 47766 - 47766 € per year.
About the job
Job summary
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:
- 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
Essential Criteria
- 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.
Benefits
Alongside your salary of 47,766, Intellectual Property Office contributes 13,837 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides. Unlimited Pluralsight video learning access, Access to Microsoft's ESI training suite, Hybrid working with no core hours, Substantial support for career progression, 25 days annual leave moving to 30 days in annual increments, 8 days public leave and 1 day privilege leave.
Please note that benefits may be subject to change.
Things you need to know
Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified, applications may be withdrawn and internal candidates may be subject to disciplinary action.
Selection process details
This vacancy is using Success Profiles, and will assess your Behaviours, Experience and Technical skills. Successful candidates must pass a disclosure and barring security check and if successful you must also hold, or be willing to obtain, a higher Security Clearance. For meaningful checks to be carried out individuals will need to have lived in the UK for a sufficient period of time, depending on the level of clearance, to enable appropriate checks to be carried out.
Further information on nationality requirements can be found on the official government website.
The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
Senior Data Engineer - Newport in Charminster employer: Intellectual Property Office
The Intellectual Property Office (IPO) is an exceptional employer, offering a dynamic work environment in Newport that fosters innovation and collaboration. With a strong commitment to employee development, including unlimited access to learning resources and substantial support for career progression, the IPO ensures that its team members thrive both personally and professionally. The hybrid working model promotes a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment in the field of data engineering.
Contact Detail:
Intellectual Property Office Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Newport in Charminster
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Prepare for those interviews! Research the company and practice common questions. The more you know, the more confident you'll feel when it's time to shine.
✨Tip Number 3
Show off your skills! If you’ve got a portfolio or examples of your work, bring them along. It’s a great way to demonstrate what you can do beyond just words on a page.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer - Newport in Charminster
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight how you meet the essential criteria listed in the job description. Use specific examples from your experience that showcase your skills in Azure Data Factory, Python, and data tooling.
Be Clear and Concise:When filling out the application form, keep your answers clear and to the point. Avoid jargon unless it's relevant, and make sure your points are easy to understand. We want to see your skills shine through without any fluff!
Show Your Passion for Data:Let us know why you're excited about the role of Senior Data Engineer! Share your enthusiasm for data engineering and how you stay updated with new technologies and methodologies. This can really set you apart from other candidates.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it helps us keep everything organised and makes the process smoother for you.
How to prepare for a job interview at Intellectual Property Office
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure Data Factory, Data Bricks, and Python. Be ready to discuss how you've used these tools in past projects, and think of specific examples where you designed, coded, or optimised data systems.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex business problems you've solved using data engineering solutions. Think about the challenges you faced, the approaches you took, and the outcomes. This will demonstrate your ability to deliver results in a multi-functional team.
✨Emphasise Collaboration
Since this role involves working closely with various teams, be ready to share experiences where you successfully collaborated with others. Highlight how you built relationships and communicated effectively to drive solutions that improved data access and efficiency.
✨Be Ready for Behavioural Questions
Expect questions around the behaviours listed in the job description, like 'Delivering at Pace' and 'Working Together'. Prepare examples from your experience that illustrate how you've embodied these behaviours in your work, especially in Agile environments.
