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- Tasks: Design and build scalable data pipelines using Microsoft Azure services.
- Company: Forward-thinking organisation with a cloud-first mindset.
- Benefits: Excellent benefits package and hybrid work model.
- Why this job: Join a team shaping modern data platforms and make a real impact.
- Qualifications: Experience with Microsoft Azure data stack and advanced SQL skills.
- Other info: Opportunity to work on innovative projects in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
We're recruiting on behalf of a forward-thinking organisation seeking an experienced Data Engineer with a cloud-first mindset and strong expertise across the Microsoft data ecosystem. This is an excellent opportunity to work on modern data platforms, building scalable solutions that support analytics, reporting, and Business Intelligence initiatives.
You'll play a key role in designing, building, and optimising cloud-based data solutions.
Key Responsibilities- Design, develop, and maintain scalable data pipelines using Microsoft Azure services
- Build and optimise data solutions leveraging Microsoft Fabric components
- Develop and orchestrate data integration workflows using Azure Data Factory
- Work with Azure Synapse Analytics and Azure Databricks for data processing and analytics
- Write and optimise SQL for querying, analysing, and managing complex data sets
- Support and enhance cloud-based data platforms with a focus on best practices and security
- Collaborate with stakeholders to translate business requirements into technical solutions
- Proven Data Engineer in a cloud-first environment
- Strong hands-on experience with the Microsoft Azure data stack, including:
- Microsoft Fabric
- Azure Data Factory
- Azure Synapse Analytics
- Azure Databricks
Our client offers an excellent benefits package.
Data Engineer in Swindon employer: Jiyu Consulting
Contact Detail:
Jiyu Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Swindon
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Microsoft Azure and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Azure knowledge. Practice common interview questions related to data engineering and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer in Swindon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Azure and data engineering. We want to see how your skills align with the job description, so don’t be shy about showcasing your cloud-first mindset!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve Azure services or scalable data solutions.
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. Plus, it’s super easy!
How to prepare for a job interview at Jiyu Consulting
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Microsoft Azure services, especially Azure Data Factory, Synapse Analytics, and Databricks. Be ready to discuss how you've used these tools in past projects and be prepared to share specific examples of data pipelines you've designed or optimised.
✨Showcase Your SQL Skills
Since advanced SQL skills are crucial for this role, practice writing complex queries and be ready to explain your thought process. You might even want to prepare a few examples of how you've managed large-scale data sets and the challenges you faced while doing so.
✨Understand the Business Side
This role involves collaborating with stakeholders, so it's important to demonstrate that you can translate business requirements into technical solutions. Think of instances where you've successfully bridged the gap between technical and non-technical teams and be ready to share those stories.
✨Emphasise Best Practices and Security
Be prepared to discuss best practices in cloud-based data solutions and how you ensure security in your designs. Familiarise yourself with common security concerns in cloud environments and be ready to talk about how you've addressed them in your previous roles.
