Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement scalable data solutions for a major transportation project.
- Company: Leading data consultancy with a focus on innovation and collaboration.
- Benefits: Competitive salary, professional growth opportunities, and Azure certifications.
- Why this job: Make a real-world impact on a flagship transportation initiative.
- Qualifications: 5–10 years in data engineering, strong skills in Azure and Databricks.
- Other info: Join a dynamic team culture and mentor junior engineers.
The predicted salary is between 48000 - 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 will 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.
Required Skills & Experience
- 5–10 years in data engineering roles, ideally within consultancy environments.
- Strong proficiency in:
- Databricks (PySpark)
- Azure Data Factory (ADF)
- SQL (complex queries and optimisation)
- Azure Data Services (Data Lake, Synapse, etc.)
Nice-to-Have
- Experience with Scala for Spark development.
- Knowledge of CI/CD pipelines and DevOps practices in Azure.
- Familiarity with data governance frameworks.
Why Apply?
- Work on a flagship transportation project with real-world impact.
- Join a collaborative, innovative team culture.
- Opportunities for professional growth and Azure certifications.
Apply now online for a confidential discussion.
Senior Data Engineer in Birmingham 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 in Birmingham
✨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 friendly chat can sometimes lead to a referral, which is often the best way to get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Data Stack and Databricks. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and ETL processes. Practice common data engineering problems and be ready to explain your thought process. We all know that confidence in your technical abilities can make a huge difference!
✨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 our innovative team working on impactful projects.
We think you need these skills to ace Senior Data Engineer in Birmingham
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, Databricks, and any relevant projects you've worked on. 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 exciting transportation project. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your proficiency in SQL, ETL processes, and any experience with CI/CD pipelines. We’re keen to see how you can leverage these skills in our team!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at ScaleOps Search Ltd
✨Know Your Tech Stack
Make sure you brush up on your knowledge of the Microsoft Azure Data Stack, especially Databricks and Azure Data Factory. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed and optimised data pipelines or ETL processes. Think about the impact your solutions had on previous projects and be ready to explain your thought process during the design phase.
✨Communicate Effectively
Since this role involves collaboration with stakeholders, practice articulating complex technical concepts in a way that's easy to understand. Use clear examples to demonstrate your excellent communication skills and how you've successfully managed stakeholder expectations in the past.
✨Mentorship Mindset
Be prepared to discuss your experience mentoring junior engineers. Share how you've contributed to their growth and how you approach architectural decisions. This will show that you're not just a technical expert but also a team player who values knowledge sharing.
