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- Tasks: Design and build scalable Azure data solutions and pipelines.
- Company: Digital transformation consultancy in Greater London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of data engineering.
- Qualifications: 3+ years of experience in data engineering and strong SQL skills.
- Other info: Work in a collaborative environment with a mix of on-site and remote flexibility.
The predicted salary is between 42000 - 84000 £ per year.
A digital transformation consultancy in Greater London is seeking an experienced Data Engineer to design and build Azure data solutions. The role involves creating scalable data pipelines and implementing Microsoft Fabric solutions.
Ideal candidates will have at least 3 years of experience, strong skills in SQL, and familiarity with Azure services like Data Factory and Databricks. This hybrid role requires candidates to work both on-site and remotely, and applicants must be eligible to work in the UK.
Data Engineer: Azure & Fabric Pipelines (Hybrid London) employer: P. Ducker Systems Ltd
Contact Detail:
P. Ducker Systems Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Azure & Fabric Pipelines (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Fabric. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and Azure solutions. This is your chance to demonstrate what you can do beyond just a CV – let your work speak for itself!
✨Tip Number 3
Prepare for interviews by brushing up on SQL and Azure services. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and technical skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get your application noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer: Azure & Fabric Pipelines (Hybrid London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and data pipelines. We want to see how your skills in SQL and familiarity with services like Data Factory and Databricks make you the perfect fit for this role.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how your past experiences have prepared you for this role. We love hearing your story!
Showcase Relevant Projects: If you've worked on any projects involving Microsoft Fabric or scalable data solutions, be sure to mention them. We’re keen to see real examples of your work that demonstrate your expertise.
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 from us!
How to prepare for a job interview at P. Ducker Systems Ltd
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure services, especially Data Factory and Databricks. Be ready to discuss how you've used these tools in past projects and be prepared to explain the architecture of a scalable data pipeline you've built.
✨SQL Skills Are Key
Since strong SQL skills are a must for this role, practice writing complex queries and optimising them for performance. You might be asked to solve a problem on the spot, so having a few examples of your work ready can really help showcase your expertise.
✨Showcase Your Problem-Solving Skills
Data engineering often involves troubleshooting and optimising existing systems. Prepare to discuss specific challenges you've faced in previous roles and how you approached solving them. This will demonstrate your analytical thinking and adaptability.
✨Hybrid Work Readiness
Since this role is hybrid, be ready to talk about how you manage your time and productivity when working remotely. Share any tools or strategies you use to stay connected with your team and ensure smooth collaboration, as this will show you're well-prepared for the work environment.
