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- Tasks: Lead the development of cutting-edge cloud data solutions and mentor junior engineers.
- Company: Join a leading innovative organisation with a focus on data excellence.
- Benefits: Competitive salary up to £65k, bonus, and hybrid working model.
- Why this job: Make an impact by optimising data pipelines and enhancing cloud platforms.
- Qualifications: Strong Azure experience and advanced SQL skills required.
- Other info: Dynamic team environment with opportunities for professional growth.
The predicted salary is between 46800 - 78000 £ per year.
Senior Data Engineer
Hybrid – Birmingham (2 days per week in office)
Salary: Up to £65k
Permanent
We are partnering with a forward-thinking, public sector organisation currently undergoing a major data and digital transformation. They are seeking a Senior Data Engineer to play a pivotal role in developing and maintaining a modern, cloud-based data platform that underpins critical regulatory and strategic objectives.
This is an exciting opportunity to work with cutting-edge Microsoft technologies and contribute to the creation of a secure, scalable, and insight-driven data ecosystem that supports the organisation’s mission to deliver better outcomes for customers, communities, and the environment.
What You’ll Be Doing:
As a Senior Data Engineer, you’ll take a hands-on role in building and optimising data services across both modern and legacy platforms. Key responsibilities include:
- Developing, maintaining, and optimising data pipelines and ELT processes using Microsoft Fabric, Azure Data Factory, Synapse, Purview, and Power BI.
- Designing and implementing scalable and reliable data platform solutions aligned with the organisation’s data strategy.
- Supporting the migration of critical datasets from legacy systems to the new cloud platform, ensuring high data integrity and minimal disruption.
- Collaborating with internal stakeholders across IT, Digital, and Data Strategy teams to understand business requirements and translate them into robust data services.
- Monitoring and improving data quality, performance, and consistency across multiple data sources.
- Mentoring junior engineers and contributing to a culture of innovation, collaboration, and continuous improvement.
What We’re Looking For:
- Strong proficiency in Microsoft data services, with hands-on experience using Microsoft Fabric, Azure Data Factory, Synapse, Power BI, Purview, SQL, Pyhton.
- Proven track record in designing, building, and optimising data pipelines and integration solutions within cloud or enterprise environments.
- Excellent communication and collaboration skills, with experience working across multi-disciplinary teams.
- Previous involvement in digital or data transformation programmes, ideally with a focus on building reusable data services or products.
- Eligible for SC Clearance (Must have lived in the UK for 5 years)
If interested, please contact Jacob Ferdinand at Jacob.ferdinand@experis.co.uk
Senior Data Engineer employer: Experis UK
Contact Detail:
Experis UK 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 and let them know you're on the hunt for a Senior Data Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure services like Databricks and Data Factory. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building data pipelines or optimising databases, as this will demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our innovative team and ready to contribute to exciting projects.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with Azure services and data engineering principles to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of your work with cloud data platforms and how you've contributed to team success in the past.
Show Off Your Technical Skills: Don’t shy away from showcasing your technical expertise! Mention your advanced SQL knowledge and any relevant projects involving Azure Databricks or other Azure services to demonstrate your capabilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Experis UK
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure services, especially Databricks, Data Factory, and Synapse. 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 SQL Skills
Prepare to demonstrate your advanced SQL knowledge. Think of specific examples where you've optimised queries or improved database performance. You might even want to practice writing some queries on the spot to show off your skills!
✨Emphasise Your Mentoring Experience
Since this role involves mentoring junior engineers, be prepared to share your experiences in guiding others. Talk about how you've helped team members grow, what strategies you used, and the impact it had on the team’s performance.
✨Communicate Clearly and Confidently
Strong communication skills are key for this position. Practice explaining complex data engineering concepts in simple terms. This will not only showcase your expertise but also demonstrate your ability to collaborate effectively with non-technical teams.
