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- Tasks: Design and build end-to-end data solutions using Microsoft Fabric.
- Company: Leading data solutions agency with a focus on innovation.
- Benefits: Competitive salary, hybrid working model, and remote work options.
- Other info: Exciting opportunities for career growth in a collaborative environment.
- Why this job: Join a dynamic team and make an impact in data engineering.
- Qualifications: Strong skills in PySpark, SQL, and Microsoft Fabric required.
The predicted salary is between 55000 - 60000 £ per year.
A leading data solutions agency is seeking a Data Engineer (Microsoft Fabric) to design and build end-to-end data solutions. This permanent position offers a hybrid working model based in Milton Keynes, with opportunities to work remotely.
The role involves:
- Developing and optimizing data pipelines
- Ensuring data accuracy
- Collaborating with various stakeholders
The ideal candidate will have strong skills in PySpark, SQL, and Microsoft Fabric. A competitive salary ranges from £55,000 to £60,000 per annum.
Data Engineer – Microsoft Fabric Data Pipelines (Hybrid) in London employer: itecopeople
Contact Detail:
itecopeople Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – Microsoft Fabric Data Pipelines (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your work with PySpark, SQL, and Microsoft Fabric. This hands-on evidence can really set us apart during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers. We can even do mock interviews with friends or use online platforms to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Data Engineer – Microsoft Fabric Data Pipelines (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with PySpark, SQL, and Microsoft Fabric. We want to see how your skills align with the role, 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 the Data Engineer position and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've developed or optimised data pipelines. We’re keen to see how you tackle challenges and ensure data accuracy, so share those success stories!
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 itecopeople
✨Know Your Tech Inside Out
Make sure you brush up on your skills in PySpark, SQL, and Microsoft Fabric. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've designed and optimised data pipelines in the past. Think of examples that highlight your ability to ensure data accuracy and how you collaborated with stakeholders to achieve project goals.
✨Understand the Company’s Needs
Research the leading data solutions agency and understand their mission and values. Tailor your answers to show how your skills and experiences align with their goals, especially in the context of hybrid working and remote collaboration.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. This could be about their current projects, team dynamics, or how they measure success in data engineering. It shows you're genuinely interested and engaged.