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- Tasks: Build robust ETL pipelines and innovative data solutions using Python and SQL.
- Company: A dedicated data consultancy in Chester with a pioneering team.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on major brands' data strategies with leading technologies.
- Qualifications: 1+ years of experience or relevant projects in data engineering.
- Other info: Join a dynamic team focused on complex enterprise data migrations.
The predicted salary is between 28800 - 48000 £ per year.
A dedicated data consultancy in Chester is looking for a Data Engineer to build robust ETL pipelines and innovative data solutions. The ideal candidate will have 1+ years of experience or relevant projects, strong skills in Python and SQL, and a passion for data architecture. Working with leading technologies like Microsoft Fabric, you will contribute to complex enterprise data migrations and governance, impacting major brands' data strategies. Join a team that's truly pioneering within the CRM space.
Data Engineer – Python, SQL & Microsoft Fabric ETL in Chester employer: Fuelius
Contact Detail:
Fuelius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – Python, SQL & Microsoft Fabric ETL in Chester
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at local meetups. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects, especially any ETL pipelines you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with Microsoft Fabric. We recommend practising common data engineering interview questions 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 by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer – Python, SQL & Microsoft Fabric ETL in Chester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention your passion for data architecture and any relevant projects that align with building ETL pipelines or working with Microsoft Fabric.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and focus on what makes you a great fit for the Data Engineer position.
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 this exciting opportunity in our pioneering team!
How to prepare for a job interview at Fuelius
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in building ETL pipelines. This will show your practical experience and understanding of the role.
✨Showcase Your Passion for Data
Prepare to talk about why you're passionate about data architecture and how it drives business decisions. Share examples of how you've contributed to data solutions in previous roles or projects, as this will resonate with the consultancy's focus on innovative data strategies.
✨Understand Microsoft Fabric
Familiarise yourself with Microsoft Fabric and its applications in data engineering. If you can, try to relate your knowledge of this technology to the job description, highlighting how you can leverage it to enhance data migrations and governance.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategies and the team’s approach to CRM solutions. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals.
