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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 Stockport 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 Stockport
✨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 often lead to referrals that get you noticed.
✨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 give potential employers 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 designed scalable data solutions and collaborated with stakeholders in past roles. Practice makes perfect!
✨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, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer in Stockport
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 match 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 PySpark skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed and optimised data pipelines or ETL processes. Think about challenges you've faced and how you overcame them, as this will demonstrate your ability to deliver high-quality solutions.
✨Communicate Effectively
Since excellent communication is key, practice explaining complex technical concepts in simple terms. Be ready to discuss how you’ve collaborated with stakeholders and mentored junior engineers, showcasing your teamwork and leadership skills.
✨Understand Data Governance
Familiarise yourself with best practices in data governance and security. Be prepared to discuss how you’ve implemented these practices in previous roles, as this will show that you take data integrity seriously.
