Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement scalable data solutions for a major transport project using Azure technologies.
- Company: Leading data consultancy with a focus on innovative solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a high-impact initiative and transform data capabilities for a well-known UK transport provider.
- Qualifications: Experience with Azure Data Stack and strong data engineering skills.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A leading data consultancy is seeking an experienced Senior Data Engineer to join their team and deliver cutting-edge solutions for a major transportation project. This is an exciting opportunity to work on a high-impact initiative for a well-known UK transport provider, leveraging modern cloud technologies to transform data capabilities.
About the Role
The successful candidate will play a key role in designing and implementing scalable data solutions using the Microsoft Azure Data Stack. You’ll work closely with stakeholders to translate business requirements into robust technical architectures, ensuring best practices in data governance, security, and performance.
Key Responsibilities
- Design and optimise data pipelines and ETL processes using Azure Data Factory and Databricks.
- Develop and maintain data models, transformations, and integrations across multiple systems.
- Collaborate with client teams to deliver high-quality, timely solutions.
- Mentor junior engineers and contribute to architectural decisions.
- Implement best practices for data governance and security.
Senior Data Engineer employer: ScaleOps Search Ltd
Contact Detail:
ScaleOps Search Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might know about opportunities at leading consultancies. A personal referral can make all the difference in landing that interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving Azure Data Stack and ETL processes. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview by practising common data engineering questions and scenarios. Be ready to discuss how you've designed scalable data solutions in the past and how you approach data governance and security.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Azure Data Stack and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of data pipelines or ETL processes you've designed or optimised. This is your chance to shine, so let us know about the impact your work has had on previous projects!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your experience and skills. We appreciate a well-structured application!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at ScaleOps Search Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the Microsoft Azure Data Stack, especially Azure Data Factory and Databricks. Brush up on your knowledge of data pipelines and ETL processes, as you’ll likely be asked to discuss how you’ve implemented these in past projects.
✨Understand the Business Side
Since you'll be translating business requirements into technical solutions, it’s crucial to understand the transportation sector and the specific challenges it faces. Research the company’s projects and think about how your skills can address their needs.
✨Prepare for Scenario Questions
Expect scenario-based questions where you’ll need to demonstrate your problem-solving skills. Think of examples from your previous work where you designed scalable data solutions or improved data governance and security practices.
✨Showcase Your Mentorship Skills
As a Senior Data Engineer, mentoring junior engineers will be part of your role. Be ready to discuss your experience in guiding others, sharing knowledge, and contributing to team growth. Highlight any specific instances where you’ve successfully mentored someone.
