Senior Data Engineer - Newport in York

Senior Data Engineer - Newport in York

York Full-Time 47766 - 47766 € / year (est.) Home office (partial)
What Jobs

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 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 efficiency and innovation.
  • 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 York 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.

What Jobs

Contact Detail:

What Jobs Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer - Newport in York

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working at the IPO. A friendly chat can give you insights and maybe even a referral!

Tip Number 2

Prepare for the interview by brushing up on your Azure Data Factory and Python skills. We want to see you shine with practical examples of your past work!

Tip Number 3

Show off your problem-solving skills! Be ready to discuss how you've tackled complex data challenges in previous roles. We love hearing about real-world applications.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always looking for passionate candidates like you!

We think you need these skills to ace Senior Data Engineer - Newport in York

Azure Data Factory (ADF)
Data Bricks
Python
ETL Development and Optimisation
Data Cleansing and Preparation
Data Formatting
Scalable Solution Design

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 align with the skills and responsibilities of a Senior Data Engineer.

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:In your application, express your enthusiasm for data engineering and your eagerness to learn new technologies. Mention any relevant projects or experiences that demonstrate your commitment to the field and how you can contribute to our team.

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 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’re not just familiar but also capable of delivering results.

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.

Understand the Business Context

Research the IPO and its goals. Understand how your role as a Senior Data Engineer fits into their vision for data usage. This knowledge will help you connect your skills to their needs and demonstrate your commitment to their mission.

Engage with Stakeholders

Be prepared to discuss how you’ve built relationships with stakeholders in previous roles. Highlight your ability to communicate technical concepts to non-technical audiences, as this is crucial for collaboration within multi-functional teams.