At a Glance
- Tasks: Develop and optimise data systems using cutting-edge technologies in a collaborative team.
- Company: Join the innovative Intellectual Property Office with a focus on IT and Data services.
- Benefits: Competitive salary, generous leave, hybrid working, and unlimited learning resources.
- Other info: Dynamic work environment with excellent career progression opportunities.
- Why this job: Make a real impact by building world-class data engineering solutions.
- 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 IPOs chosen technology.
- Support the vision for the organisations 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.
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. Please remove all identifying markers such as name, title, education institution etc. 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.
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:
- 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.
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 Microsofts 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
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. Please note that benefits may be subject to change.
Locations
Senior Data Engineer in Glasgow, North East employer: Intellectual Property Office
The Intellectual Property Office (IPO) is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Senior Data Engineer role based in Newport. With a strong commitment to employee growth, the IPO offers substantial support for career progression, unlimited access to learning resources, and a flexible hybrid working model that promotes work-life balance. Employees enjoy generous annual leave, a robust pension scheme, and the opportunity to work on impactful data projects that contribute to the organisation's vision.
Contact Detail:
Intellectual Property Office Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Glasgow, North East
✨Tip Number 1
Network like a pro! Reach out to current employees at the IPO on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Building connections can give you insider info and make you stand out.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you'll be working with Azure Data Factory, Data Bricks, and Python, make sure you can talk confidently about your experience with these tools. Practice coding challenges or data engineering scenarios to show off your skills.
✨Tip Number 3
Show your passion for data! During interviews, share examples of how you've used data to solve problems in previous roles. Highlight your experience with Agile methodologies and DevOps principles to demonstrate that you're a team player who can adapt to modern delivery models.
✨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 IPO team. Make sure your CV highlights how you meet the essential criteria and showcases your relevant experience.
We think you need these skills to ace Senior Data Engineer in Glasgow, North East
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight how your experience aligns with the essential criteria listed in the job description. We want to see how you’ve used Azure Data Factory, Python, and other tools in your previous roles.
Anonymise Your CV:Don’t forget to anonymise your CV before uploading it! Remove any identifying markers like your name and education details. This helps us focus on your skills and experience without bias.
Showcase Your Projects:Include specific examples of projects where you’ve delivered technical solutions or worked in Agile environments. We love seeing how you’ve contributed to data engineering capabilities in past roles!
Apply Through Our Website:Remember to apply through our website by clicking the 'Apply now' button. It’s the best way for us to receive your application and keep everything organised!
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 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.
✨Emphasise Collaboration
Since this role involves working closely with various teams, highlight your experience in multi-disciplinary environments. Share stories about how you’ve successfully collaborated with Data Management and Business Intelligence Teams to drive effective data solutions.
✨Understand the Company Culture
Familiarise yourself with the IPO’s values and working style, especially their hybrid working arrangements. Be prepared to discuss how you can contribute to their vision for data use and how you can balance remote work with office presence effectively.
