Senior Data Engineer – Microsoft Fabric

Senior Data Engineer – Microsoft Fabric

Full-Time 45000 - 55000 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Support and enhance Microsoft Fabric solutions in a dynamic wealth management environment.
  • Company: Leading UK Wealth Management firm with a focus on innovation.
  • Benefits: Competitive salary, bonus, pension, and additional perks.
  • Other info: Hybrid work model with opportunities for professional growth.
  • Why this job: Join a forward-thinking team and make a real impact in data engineering.
  • Qualifications: Experience with Microsoft Fabric and a passion for data solutions.

The predicted salary is between 45000 - 55000 Β£ per year.

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

Location: London | Hybrid currently typically 2 days per month in London or Birmingham

Salary: Β£65,000 - Β£75,000 + 10% bonus + 7% pension + benefits

If your Microsoft Fabric experience goes beyond building the initial solution and you've actually had to support, improve and live with what you've put into production, this role should be relevant.

A UK Wealth Management business is looking for a Senior Data Engineer with expertise in Microsoft Fabric.

Senior Data Engineer – Microsoft Fabric employer: Intelligent Talent Solutions Ltd

Intelligent Talent Solutions Ltd is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a focus on employee growth, the company provides long-term progression opportunities alongside competitive benefits such as a 10% annual bonus and private medical insurance, making it an attractive choice for professionals looking to advance their careers in a supportive environment.

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Contact Details:

Intelligent Talent Solutions Ltd Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Data Engineer – Microsoft Fabric

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We think you need these skills to ace Senior Data Engineer – Microsoft Fabric

Microsoft Fabric
Data Engineering
Solution Support
Production Management
Performance Improvement
Wealth Management Knowledge
Hybrid Work Adaptability

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 Intelligent Talent Solutions Ltd, 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 Intelligent Talent Solutions Ltd. 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 Intelligent Talent Solutions Ltd

✨Brush Up on Your Statistics

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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

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✨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.