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- Tasks: Transform business challenges into powerful data solutions and build cloud-based data pipelines.
- Company: Leading technology solutions provider focused on innovation and growth.
- Benefits: Private medical cover, extensive training, and opportunities for professional development.
- Why this job: Join a dynamic team and make a real impact in the tech industry.
- Qualifications: Expertise in SQL, Python, and modern data frameworks required.
- Other info: Agile work environment with a focus on high-quality outcomes.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology solutions provider is seeking a Senior Data Engineer to transform ambiguous business problems into robust data solutions. The role involves designing and building cloud-based data pipelines, applying strong analytical skills, and working in Agile environments.
Candidates should have expertise in SQL, Python, and modern data frameworks, with a commitment to delivering high-quality outcomes.
Benefits include private medical cover and extensive training opportunities, fostering professional growth and innovation.
Senior Data Engineer — Craft Production-Grade Data Platforms employer: UBDS Group
Contact Detail:
UBDS Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Craft Production-Grade Data Platforms
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL and Python. We want to see how you’ve tackled real-world problems and built cloud-based data pipelines.
✨Tip Number 3
Prepare for the interview by brushing up on Agile methodologies and data frameworks. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer — Craft Production-Grade Data Platforms
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in SQL, Python, and any modern data frameworks you've worked with. We want to see how you can transform those ambiguous business problems into solid data solutions!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior Data Engineer role. Mention your experience in designing cloud-based data pipelines and working in Agile environments.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your achievements and experiences shine through without unnecessary fluff.
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 UBDS Group
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and any modern data frameworks relevant to the role. Be ready to discuss specific projects where you've applied these skills, as this will show your practical experience and problem-solving abilities.
✨Showcase Your Analytical Skills
Prepare to discuss how you've transformed ambiguous business problems into clear data solutions. Think of examples where your analytical skills made a significant impact, and be ready to explain your thought process during those situations.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working in Agile environments, it’s crucial to understand Agile principles. Be prepared to talk about your experience in Agile teams, how you’ve contributed to sprints, and any tools you’ve used to manage workflows.
✨Emphasise Your Commitment to Quality
The company values high-quality outcomes, so be ready to discuss how you ensure quality in your work. Share examples of how you’ve implemented best practices in data engineering and any measures you take to maintain high standards in your projects.
