At a Glance
- 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.
- Other info: Dynamic team environment with opportunities for professional growth.
- Why this job: Make a real impact in data engineering while working with the latest technologies.
- Qualifications: Strong Azure experience, advanced SQL skills, and mentoring capabilities.
The predicted salary is between 46800 - 78000 £ per year.
We are partnering with a leading and innovative organisation to help recruit a Senior Data Engineer to join their evolving data team. This role provides a unique opportunity to work with cutting-edge cloud data platforms, supporting the delivery of high-quality, reliable data solutions while contributing to automation and platform enhancements.
What You’ll Be Doing
- Building, optimising, and maintaining cloud-based data solutions.
- Developing and maintaining end-to-end data pipelines using Azure services such as Data Factory, Databricks, Synapse, and Data Lake.
- Designing and optimising data models, warehouses, and lakehouse architectures to support analytics and reporting requirements.
- Ensuring data governance, security, and compliance across cloud platforms, implementing access controls, encryption, and monitoring.
- Monitoring data processes, identifying performance bottlenecks, and delivering improvements to ensure reliable and accurate data availability.
- Mentoring junior engineers and sharing knowledge through documentation, workshops, and code reviews.
What We’re Looking For
- Strong experience with Azure Databricks (Unity Catalog, DLT, cluster management) and other Azure services (Data Factory, Synapse, Data Lake Storage, Stream Analytics, Event Hubs).
- Advanced SQL knowledge with experience optimising relational databases and writing efficient queries (T-SQL).
- Strong understanding of data engineering principles, distributed computing, and cloud-native design patterns.
- Previous managerial/mentoring experience and/or operating at a senior/Lead level.
- Excellent communication and problem-solving skills, with the ability to collaborate across teams.
If interested, please contact Jacob Ferdinand at Jacob.ferdinand@experis.co.uk
Senior Data Engineer employer: Experis UK
Join a forward-thinking organisation that values innovation and collaboration, offering a dynamic work culture where your contributions as a Senior Data Engineer will directly impact the evolution of data solutions. With a hybrid working model in the Midlands, you will enjoy the flexibility of working from home while also having the opportunity to engage with a talented team in the office. The company prioritises employee growth through mentorship and continuous learning, ensuring you have the resources to advance your career in a supportive environment.
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 your SQL and data engineering principles. Be ready to discuss how you've optimised data pipelines and tackled performance issues in past roles. Confidence is key, so practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for the latest Senior Data Engineer positions. Plus, it shows you're serious about joining our innovative team!
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 past work with data pipelines and cloud solutions, and let your personality shine through!
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—demonstrate how you've used them to solve real-world problems. We love seeing how you tackle challenges and improve processes!
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’re considered for the role. Plus, it’s super easy!
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. Discuss how you've helped team members grow and what strategies you use to foster a collaborative environment.
✨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 across teams effectively.
