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 data services for the future.
- Benefits: Enjoy hybrid working, competitive salary, unlimited learning access, and generous annual leave.
- Other info: Great career progression opportunities in a supportive and collaborative environment.
- Why this job: Make a real impact by building enterprise-grade data solutions that drive business success.
- Qualifications: Experience with Azure Data Factory, Python, and a passion for data engineering.
The predicted salary is between 47766 - 47766 € 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 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.
Essential Criteria:
- 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.
- 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.
- You will also get 8 days public leave and 1 day privilege leave.
Please note that benefits may be subject to change.
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 and produce a result which provides the required level of assurance.
Further information on the vetting process can be found at National security vetting: clearance levels - GOV.UK.
If you have questions regarding this or are unsure if you meet the eligibility criteria, please contact the recruitment team.
Senior Data Engineer - Newport in Birdham employer: What Jobs
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, the IPO provides extensive training opportunities, hybrid working arrangements, and generous leave policies, ensuring a healthy work-life balance. Join a forward-thinking team where your contributions directly impact the organisation's vision for data excellence and enjoy the benefits of being part of a modern civil service.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Newport in Birdham
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those already working at the IPO. A friendly chat can open doors and give you insider info on what they're looking for.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you're comfortable discussing Azure Data Factory, Python, and other tools mentioned in the job description. We want you to shine!
✨Tip Number 3
Show off your problem-solving skills! Be ready to discuss how you've tackled complex data challenges in the past. Real-life examples will make you stand out from the crowd.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the team at IPO.
We think you need these skills to ace Senior Data Engineer - Newport in Birdham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Azure Data Factory, Data Bricks, and Python, as well as any relevant projects you've worked on. We want to see how you meet the essential criteria!
Be Clear and Concise:When filling out the application form, keep your answers clear and to the point. Use bullet points where possible to make it easy for us to read through your experience and skills. Remember, we’re looking for specific examples that showcase your abilities!
Show Your Passion for Data:In your application, let us know why you're passionate about data engineering. Share any personal projects or experiences that demonstrate your enthusiasm for learning new technologies and methodologies. We love candidates who are eager to grow!
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, you’ll find all the details you need about the role and the application process right there.
How to prepare for a job interview at What Jobs
✨Know Your Tech Stack
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, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex business problems you've solved using data engineering solutions. Highlight your experience with ETL processes and how you've optimised data flows to improve efficiency.
✨Understand the Company Culture
Familiarise yourself with the IPO's mission and values. During the interview, demonstrate how your personal values align with theirs and how you can contribute to their vision for data usage.
✨Engage with Stakeholders
Be prepared to discuss how you've built relationships with stakeholders in previous roles. Share specific examples of how you gathered requirements and collaborated with teams to deliver successful data solutions.
