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- 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 with mentorship opportunities.
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 York 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 York
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might have insights into the consultancy world. A friendly chat can lead to referrals or insider info that could give you the edge.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those using Azure Data Stack and Databricks. This will not only impress potential employers but also give them a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled challenges in previous roles, particularly around data governance and stakeholder management. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. 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 York
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’re well-versed in the Microsoft Azure Data Stack, especially Databricks and Azure Data Factory. Brush up on your SQL skills too, as you'll likely be asked to solve complex queries during the interview.
✨Understand the Business Context
Familiarise yourself with the transportation project and the specific challenges it faces. Being able to discuss how your data solutions can directly impact the project will show that you’re not just a techie but also understand the bigger picture.
✨Prepare for Stakeholder Scenarios
Since excellent communication and stakeholder management skills are crucial, think of examples where you've successfully collaborated with clients or team members. Be ready to discuss how you translated business requirements into technical solutions.
✨Show Your Mentorship Skills
As a Senior Data Engineer, mentoring junior engineers is part of the role. Prepare to share your experiences in guiding others and how you’ve contributed to architectural decisions in past projects.
