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- Tasks: Lead the migration of data pipelines and optimise ETL processes using Python, SQL, and PySpark.
- Company: Dynamic data consultancy in the UK with a focus on innovation.
- Benefits: Competitive contract rate, potential extensions, and hands-on experience with cutting-edge technologies.
- Why this job: Join a forward-thinking team and make a real impact on data integration projects.
- Qualifications: 3+ years in data engineering and strong Azure tech knowledge required.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 3000 - 4500 £ per month.
A data consultancy in the United Kingdom is looking for a Microsoft Fabric Data Engineer to lead the migration of data pipelines from Azure Synapse to Microsoft Fabric. This role focuses on optimizing ETL pipelines with Python, SQL, and PySpark, while ensuring seamless integration across platforms like OneLake and Power BI.
The ideal candidate has over 3 years of experience in data engineering, strong familiarity with Azure technologies, and a proactive problem-solving mindset. The contract is for 3 months with further potential extensions.
Fabric Data Engineer — Synapse Migration Specialist in England employer: iO Associates
Contact Detail:
iO Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fabric Data Engineer — Synapse Migration Specialist in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure technologies. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ETL pipelines and projects using Python, SQL, and PySpark. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions, especially around Azure Synapse and Microsoft Fabric. We recommend doing mock interviews with friends or using online platforms to build your confidence.
✨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 Fabric Data Engineer — Synapse Migration Specialist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure technologies and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Python, SQL, and PySpark!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Fabric Data Engineer role. Share specific examples of your past projects, especially those involving data migration and ETL optimisation.
Showcase Problem-Solving Skills: In your application, highlight instances where you've tackled challenges head-on. We love candidates who can demonstrate a proactive problem-solving mindset, especially in complex data environments like Azure Synapse.
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 regarding your application status!
How to prepare for a job interview at iO Associates
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure Synapse, Microsoft Fabric, and the tools you'll be using like Python, SQL, and PySpark. Be ready to discuss specific projects where you've optimised ETL pipelines, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in data engineering and how you tackled them. This role requires a proactive mindset, so highlight instances where you identified issues before they became problems and how you resolved them.
✨Understand the Integration Landscape
Familiarise yourself with OneLake and Power BI, as integration across these platforms is key. Be prepared to discuss how you've successfully integrated different data sources in past roles, and any strategies you used to ensure seamless data flow.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
