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 competitive salary, hybrid working, 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 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.
- 8 days public leave and 1 day privilege leave.
For more information about what's on offer at the Intellectual Property Office please review our IPO benefit pack attached to the bottom of this advert.
Senior Data Engineer - Newport in Salisbury 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 resources, including unlimited access to Pluralsight and Microsoft's ESI training suite, alongside generous annual leave and hybrid working arrangements. This role not only allows you to contribute to cutting-edge data engineering projects but also supports your career progression within a supportive and inclusive culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Newport in Salisbury
✨Tip Number 1
Network like a pro! Reach out to current employees at the IPO or in similar roles on LinkedIn. Ask them about their experiences and any tips they might have for your interview. It’s all about making connections!
✨Tip Number 2
Prepare for those technical questions! Brush up on your Azure Data Factory, Data Bricks, and Python skills. We want to see you shine with real examples of how you've used these tools in past projects.
✨Tip Number 3
Show off your problem-solving skills! Be ready to discuss how you've tackled complex data challenges before. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨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 the IPO. Let’s get you that interview!
We think you need these skills to ace Senior Data Engineer - Newport in Salisbury
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, and show how you've tackled similar challenges in the past.
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 see how you meet the essential criteria.
Show Your Passion for Learning:We love candidates who are eager to learn! Mention any new technologies or methodologies you've explored recently, especially those relevant to data engineering and cloud services.
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 and is considered in the selection process.
How to prepare for a job interview at What Jobs
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Data Factory, Data Bricks, and Python. Brush up on your experience with these tools and be ready to discuss specific projects where you've used them. This will show that you not only meet the technical requirements but also have hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data engineering challenges in the past. Think about times when you designed scalable solutions or optimised ETL processes. Being able to articulate your thought process will impress the interviewers.
✨Understand the Company’s Vision
Familiarise yourself with the IPO's goals and how they use data to drive their services. This will help you align your answers with their vision during the interview, demonstrating that you're not just looking for a job, but are genuinely interested in contributing to their mission.
✨Engage with Stakeholders
Be prepared to discuss how you've built relationships with stakeholders in previous roles. Highlight your communication skills and how you’ve collaborated with cross-functional teams to deliver data solutions. This is key for a role that requires working closely with various departments.
