At a Glance
- Tasks: Design and develop scalable data transformations and pipelines for a modern BI environment.
- Company: A growing, data-driven organisation investing in technology and analytics.
- Benefits: Flexible hybrid working, professional development, and a comprehensive benefits package.
- Other info: Join a dynamic team focused on delivering high-quality insights.
- Why this job: Shape a new BI function and work with cutting-edge data technologies.
- Qualifications: Experience in BI roles, strong SQL skills, and knowledge of Python and Spark.
The predicted salary is between 40000 - 50000 £ per year.
We're partnering with a growing, data-driven organisation that is investing heavily in its technology and analytics capabilities. As part of this journey, they are building out a modern Business Intelligence function to improve reporting accuracy, governance, and insight delivery across the business. This is an excellent opportunity for a Data Engineer who wants to move beyond dashboarding and play a key role in shaping a scalable, enterprise‑grade BI environment.
You’ll join a newly established BI team with a strong mandate to transform how data is modelled, governed, and consumed. Working across both data modelling and reporting layers, you’ll help build robust data foundations that support executive decision‑making. This role combines data engineering, data modelling, and reporting delivery – ideal for someone who enjoys working end‑to‑end within the BI lifecycle.
Key Responsibilities- Design and develop scalable data transformations using modern cloud technologies
- Design, build and optimise scalable data pipelines to ingest, transform and load data from multiple source systems into a centralised data platform
- Build and maintain performant star‑schema data models aligned to business definitions
- Develop and enhance dashboards and certified data sources for business stakeholders
- Support governance initiatives including data definitions, documentation, and lineage
- Collaborate with technical and non‑technical stakeholders to deliver high‑quality insights
- Proven experience in a BI / Data role
- Strong SQL skills and experience working with large datasets
- Hands‑on experience with Python and Spark
- Experience designing dimensional models
- Experience with BI tools, Tableau or Power BI
- Understanding of data warehousing concepts
- Strong stakeholder engagement and communication skills
- Opportunity to shape a growing BI function from the ground up
- Exposure to modern data technologies and cloud platforms
- Strong focus on professional development and certifications
- Flexible hybrid working
- Comprehensive benefits package
Data Engineer in Gateshead employer: Cyber Security training courses
Join a forward-thinking organisation in Gateshead that prioritises innovation and employee growth, offering a unique opportunity for Data Engineers to shape a modern Business Intelligence function. With a strong emphasis on professional development, flexible hybrid working, and a comprehensive benefits package, this company fosters a collaborative work culture where your contributions directly impact executive decision-making and the overall success of the business.
Contact Details:
Cyber Security training courses Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Gateshead
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving SQL, Python, and BI tools. This will give potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data models or building pipelines – clarity is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineer in Gateshead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Python, and any BI tools you've used. We want to see how your skills align with what we're looking for!
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 growing BI function. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or creating dashboards, we love to see practical examples of your work that demonstrate your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and be ready to discuss your experience with large datasets. Be prepared to explain how you've designed data transformations and built data pipelines in previous roles. This will show that you understand the technical requirements of the job.
✨Showcase Your BI Knowledge
Familiarise yourself with the latest BI tools like Tableau or Power BI. If you've worked with these tools, be ready to share specific examples of dashboards you've created or insights you've delivered. This will demonstrate your hands-on experience and understanding of the BI lifecycle.
✨Communicate Clearly with Stakeholders
Since this role involves collaboration with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Think of examples where you've successfully engaged with different teams to deliver insights, as this will highlight your communication skills.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to data governance and modelling. Prepare by thinking through scenarios where you've had to make decisions about data definitions or documentation. This will help you demonstrate your critical thinking and problem-solving abilities.
