Senior Engineer, Data Engineering in Fife

Senior Engineer, Data Engineering in Fife

Fife Full-Time 47766 - 47766 € / year (est.) No home office possible
Intellectual Property Office

At a Glance

  • Tasks: Develop and optimise data systems, build data pipelines, and drive innovative data solutions.
  • Company: Join the Intellectual Property Office, a modern organisation focused on IT and data innovation.
  • Benefits: Enjoy a competitive salary, generous leave, hybrid working, and unlimited learning access.
  • Other info: Flexible working arrangements and substantial support for career progression.
  • Why this job: Make a real impact in data engineering while advancing your career in a supportive environment.
  • 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.

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

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.

Additional responsibilities include:

  • 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
  • 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

Experience required:

  • Experience of Azure Data Factory (ADF), Data Bricks, Python and other data tooling
  • Experience of cleansing, preparing and formatting data sets
  • Awareness of designing scalable solutions and future-proof data services
  • 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

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.

Benefits include:

  • 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

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 Engineer, Data Engineering in Fife employer: Intellectual Property Office

The Intellectual Property Office (IPO) is an exceptional employer that fosters a dynamic work culture, encouraging innovation and collaboration within its Digital, Data and Technology teams. 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. Located in Newport, employees benefit from a vibrant community and a comprehensive benefits package, including generous annual leave and a robust pension scheme, making it an ideal place for those seeking meaningful and rewarding employment.

Intellectual Property Office

Contact Detail:

Intellectual Property Office Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Engineer, Data Engineering in Fife

Tip Number 1

Network like a pro! Reach out to current employees at the IPO or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!

Tip Number 2

Show off your skills! Prepare a portfolio or a GitHub repository showcasing your data engineering projects. This gives you a chance to demonstrate your expertise with Azure Data Factory, Python, and other tools directly.

Tip Number 3

Ace the interview by preparing for common questions related to data engineering and Agile methodologies. Practice explaining your past projects and how you’ve used data to solve complex problems—this will show you’re the right fit for the team!

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, it shows you’re genuinely interested in joining the IPO team!

We think you need these skills to ace Senior Engineer, Data Engineering in Fife

Data Engineering
ETL Development
Data Integration
Azure Data Factory (ADF)
Data Bricks
Python
Data Cleansing

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Engineer. Highlight your experience with Azure Data Factory, Python, and any relevant data tooling. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Don’t forget to mention your experience with Agile methodologies and DevOps principles.

Showcase Your Projects:If you've worked on any significant data projects, make sure to include them in your application. We love seeing real-world examples of how you've tackled complex problems and delivered solutions using modern technologies.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and keep track of it. Plus, you’ll find all the info you need about the role and our awesome benefits!

How to prepare for a job interview at Intellectual Property Office

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like Azure Data Factory, Data Bricks, and Python. Brush up on your knowledge of ETL processes and be ready to discuss how you've used these tools in past projects.

Showcase Your Problem-Solving Skills

Prepare examples of complex business problems you've solved using data engineering solutions. Be specific about your role in these projects and how you contributed to the overall success, especially in a multi-functional team setting.

Understand Agile and DevOps Principles

Since the role involves modern delivery models like Scrum, be prepared to discuss your experience with Agile methodologies and DevOps practices. Share how these approaches have improved your workflow and project outcomes in previous roles.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions that show your interest in the company’s data strategy and future goals. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your career aspirations.