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 organization 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 Sunderland employer: Nigel Frank
Join a forward-thinking organisation in Sunderland 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 exposure to cutting-edge technologies, this company fosters a collaborative work culture where your contributions directly impact executive decision-making and the overall success of the business.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Sunderland
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 like Tableau or Power BI. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data modelling and governance, and how you've collaborated with stakeholders in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented Data Engineers to join our growing BI team. It’s a great way to get noticed and show your enthusiasm for the role.
We think you need these skills to ace Data Engineer in Sunderland
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your SQL, Python, and data modelling expertise to show us you’re the perfect fit for our Data Engineer role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data engineering and how you can contribute to our BI team. Share specific examples of your past work that align with the responsibilities outlined in the job description.
Showcase Your Projects:If you've worked on relevant projects, don’t hesitate to include them! Whether it’s building data pipelines or creating dashboards, we want to see how you’ve applied your skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Nigel Frank
✨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 dimensional models in the past, as this will show your understanding of data warehousing concepts.
✨Showcase Your Technical Skills
Since the role involves Python and Spark, it’s a good idea to have some examples ready that demonstrate your hands-on experience with these technologies. You might even want to prepare a mini-project or case study to discuss during the interview.
✨Understand the BI Lifecycle
Familiarise yourself with the end-to-end BI lifecycle, from data ingestion to reporting delivery. Be ready to talk about how you've contributed to each stage in previous roles, especially in building scalable data pipelines and optimising data transformations.
✨Engage with Stakeholders
This role requires strong communication skills, so think about times when you've collaborated with both technical and non-technical stakeholders. Prepare to share specific examples of how you’ve delivered insights that have influenced decision-making.
