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 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.
Senior Data Engineer - Newport in Hawthorn 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, 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. Join a forward-thinking team where your contributions directly impact the delivery of world-class data services while enjoying a supportive culture that prioritises career progression and work-life balance.
Contact Detail:
Intellectual Property Office Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Newport in Hawthorn
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for those interviews! Research the company and its culture, and be ready to discuss how your skills with Azure Data Factory and Python can make a difference. We want to see your passion shine through!
✨Tip Number 3
Show off your projects! If you’ve built any data pipelines or worked on relevant tech, bring them up during interviews. It’s a great way to demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Data Engineer - Newport in Hawthorn
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 used these tools in past projects. 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. Remember, we’re looking for specific examples that demonstrate your skills and experience.
Show Your Passion for Data:Let your enthusiasm for data engineering shine through! Share any personal projects or learning experiences that showcase your appetite for new technologies and methodologies. We love seeing candidates who are eager to grow and innovate.
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 info you need about the role and the application process right there.
How to prepare for a job interview at Intellectual Property Office
✨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’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data 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 and demonstrate your capability.
✨Understand the Business Context
Research the IPO and its goals. Understand how data engineering fits into their broader mission. This knowledge will help you tailor your answers and show that you’re genuinely interested in contributing to their success.
✨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 teams to deliver data solutions. This is crucial for a role that involves working across various groups and projects.
