At a Glance
- Tasks: Support and maintain data environments while contributing to innovative AI projects.
- Company: Join a growing, collaborative data team in a modern tech environment.
- Benefits: Competitive salary, flexible working, and strong learning opportunities.
- Other info: Clear pathways for career progression and technical growth.
- Why this job: Make an impact on business-critical operations and explore emerging technologies.
- Qualifications: Passion for data engineering and eagerness to learn new technologies.
The predicted salary is between 41000 - 41000 £ per year.
An exciting opportunity has arisen for an early careers Data Engineer to join a growing and highly collaborative data team supporting both business-critical operations and future-focused innovation projects. This role offers a mix of hands-on production support and strategic platform modernisation work within a modern Azure-based environment. You'll have the opportunity to contribute to AI initiatives, support evolving data platforms, and work with emerging technologies including Microsoft Fabric, GitHub, Apache Airflow, and intelligent automation tooling. The team offers a supportive culture, strong learning opportunities, and clear pathways for career progression and technical growth.
Key responsibilities:
- Support and maintain production data environments, BAU jobs, and business-critical data processes across pricing, finance, and underwriting functions.
- Develop, refresh, and extend data warehouse solutions while supporting modelling and analytics teams with high-quality data engineering practices.
- Contribute to strategic platform modernisation initiatives including AI projects, Microsoft Fabric exploration, GitHub adoption, and Apache Airflow implementation.
Data Engineer in Surrey employer: Sanderson Recruitment
Join a dynamic and innovative team as a Data Engineer in Surrey, where you'll enjoy a flexible working environment and the chance to work on cutting-edge projects that drive both business success and technological advancement. Our supportive culture prioritises employee growth, offering extensive learning opportunities and clear career progression paths, making it an ideal place for early careers professionals eager to make a meaningful impact in the data landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Surrey
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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, AI, or any of the tools mentioned in the job description. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from passionate candidates like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer in Surrey
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight relevant skills and experiences that match the job description, especially around data engineering practices and technologies like Azure, GitHub, and Apache Airflow.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with our team's goals. Don't forget to mention your interest in AI initiatives and modernisation projects!
Showcase Your Projects:If you've worked on any relevant projects, whether in school or on your own, make sure to include them. We love seeing practical examples of your work, especially if they involve emerging technologies or data solutions.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status directly with us!
How to prepare for a job interview at Sanderson Recruitment
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Azure, Microsoft Fabric, and Apache Airflow. Be ready to discuss how you've used these tools in past projects or how you would approach learning them.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data-related challenges in previous roles or projects. Highlight your analytical thinking and how you can contribute to business-critical operations and innovative projects.
✨Emphasise Collaboration
Since the role involves working within a collaborative team, be prepared to discuss your experience in teamwork. Share specific instances where you’ve successfully collaborated with others to achieve a common goal.
✨Ask Insightful Questions
Prepare thoughtful questions about the team's culture, ongoing projects, and future initiatives. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
