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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 SQL.
- Other info: Join a dynamic team 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 Slough 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 Slough
✨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 clear view of what you can bring to the table.
✨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 performance optimisation.
✨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 serious about joining our innovative team.
We think you need these skills to ace Senior Data Engineer in Slough
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 specific tools and technologies you’ve used, like Azure Data Factory and SQL. We’re keen to see how you’ve applied these in real-world scenarios!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It helps us keep everything organised and ensures your application gets the attention it deserves. 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.
✨Showcase Your Experience
Prepare specific examples from your past roles that highlight your experience in designing and optimising data pipelines. Be ready to discuss how you’ve implemented best practices in data governance and security in previous projects.
✨Communicate Effectively
Since excellent communication is key for this role, practice explaining technical concepts in a way that non-technical stakeholders can understand. This will demonstrate your ability to collaborate effectively with client teams.
✨Be Ready to Mentor
As mentoring junior engineers is part of the job, think about how you would approach this. Prepare to discuss your mentoring style and any experiences you have in guiding less experienced team members.
