Azure Data Engineer: Fabric & Synapse Data Platform in City of Westminster

Azure Data Engineer: Fabric & Synapse Data Platform in City of Westminster

City of Westminster Full-Time 63000 - 77000 £ / year (est.) On-site
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At a Glance

  • Tasks: Build and manage data pipelines in Azure, transforming data at scale.
  • Company: Sure IT, a forward-thinking tech company focused on data solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for skill development.
  • Other info: Exciting career growth in a collaborative environment with a focus on innovation.
  • Why this job: Join a dynamic team and shape the future of data engineering with cutting-edge tools.
  • Qualifications: Experience with Azure Data Factory, Synapse, PySpark, and strong SQL/NoSQL skills.

The predicted salary is between 63000 - 77000 £ per year.

Sure IT is seeking a Data Engineer to ingest, transform, and store data at scale in the Azure cloud.

You will own end‑to‑end data pipelines, collaborate across multiple teams, and help mature data products and platform releases using Dev Ops practices.

The role requires hands‑on experience with Azure Data Factory, Synapse, and Py Spark, plus a strong grasp of data warehousing, SQL/No SQL, and AI‑driven automation.

Based in the UK, you will contribute to modern data platforms and CI/CD improvements.

Azure Data Engineer: Fabric & Synapse Data Platform in City of Westminster employer: Sure IT

Sure IT offers a dynamic work environment where employees can engage in hands-on projects involving cutting-edge technologies like Azure Data Factory and Microsoft Fabric. The company promotes collaboration across various teams, providing opportunities for professional growth and development in data engineering. With a focus on continuous improvement and innovation, Sure IT supports its employees in mastering modern data platforms and practices.

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Contact Details:

Sure IT Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Azure Data Engineer: Fabric & Synapse Data Platform in City of Westminster

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sure IT!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Azure Data Engineer: Fabric & Synapse Data Platform at Sure IT.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sure IT.

✨Apply Directly through Our Website

When you find a suitable opening like Azure Data Engineer: Fabric & Synapse Data Platform at Sure IT, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Azure Data Engineer: Fabric & Synapse Data Platform in City of Westminster

Data Engineering
Python
Communication Skills
Problem-Solving Skills
SQL
Data Warehousing
Data Quality Assurance

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Sure IT, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sure IT. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Sure IT

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sure IT!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.