At a Glance
- Tasks: Build and expand data infrastructure using MS Fabric and transform data with Python.
- Company: Dynamic tech services company based in Brentwood, UK.
- Benefits: Competitive hourly rate, flexible hybrid work, and opportunities for skill development.
- Why this job: Join a cutting-edge team and make an impact in data engineering projects.
- Qualifications: Strong Python skills and experience in data integration and database manipulation.
- Other info: Exciting hybrid role with a mix of onsite and remote work.
The predicted salary is between 40000 - 50000 £ per year.
A technology services company is seeking a Data Engineer based in Brentwood, UK. This hybrid role will involve building and expanding data infrastructure using MS Fabric technologies, performing data transformation, and re-engineering current scripts.
Ideal candidates should have:
- Strong Python skills
- Knowledge of database manipulation techniques
- Experience in data integration projects
The contract offers a competitive hourly rate and requires both onsite and remote work.
Hybrid Data Engineer — MS Fabric & Python in Essex employer: Colbern Limited
Contact Detail:
Colbern Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer — MS Fabric & Python in Essex
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with MS Fabric and Python. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving data transformation and integration. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Be ready to discuss your experience with database manipulation and how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid Data Engineer — MS Fabric & Python in Essex
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with MS Fabric and Python. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this hybrid Data Engineer role and how your background makes you a perfect fit. We love seeing genuine enthusiasm!
Showcase Your Technical Skills: Since this role involves data transformation and database manipulation, be specific about your technical skills. We want to know what tools and techniques you’ve used in past projects, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Colbern Limited
✨Know Your Tech Inside Out
Make sure you brush up on MS Fabric and Python before the interview. Be ready to discuss your previous projects where you've used these technologies, and think about specific challenges you faced and how you overcame them.
✨Showcase Your Data Skills
Prepare examples of your experience with database manipulation and data integration projects. Highlight any innovative solutions you've implemented in past roles, as this will demonstrate your problem-solving abilities and technical expertise.
✨Be Ready for Practical Tests
Since this role involves building and expanding data infrastructure, expect some practical assessments. Practise coding challenges in Python and be prepared to explain your thought process while solving problems.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the tools they use, and the company's vision for data projects. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.