Senior Data Engineer - Microsoft Fabric
Senior Data Engineer - Microsoft Fabric

Senior Data Engineer - Microsoft Fabric

Broughton Full-Time 60000 - 75000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data engineering projects using Microsoft Fabric and Azure technologies.
  • Company: Join a top-tier data consultancy known for innovation and excellence.
  • Benefits: Enjoy remote work flexibility, competitive salary, and extensive learning opportunities.
  • Why this job: Be part of a collaborative culture with diverse projects and impactful solutions.
  • Qualifications: Experience in data engineering, SQL, Python, and Microsoft Azure is essential.
  • Other info: Opportunities available in London, Manchester, or Edinburgh.

The predicted salary is between 60000 - 75000 £ per year.

Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. As a trusted Microsoft Partner, my client are leaders in the industry, with a diverse portfolio of clients and projects. Due to exciting growth plans we are now looking for a Senior Data Consultant, specialising in Microsoft Fabric.

We are looking for:

  • Demonstratable data engineering/BI skills, with a focus on having delivered in Microsoft Azure
  • Strong experience designing and delivering data solutions in Fabric, Azure Databricks or Azure Synapse
  • Proficient with SQL and Python
  • Great communication skills, effectively participating with Senior Stakeholders

Nice to haves:

  • Azure Data Engineering certifications
  • Microsoft Fabric certifications

What's in it for you:

  • Location: London or Manchester or Edinburgh
  • Remote working: Occasional office visits each month
  • Salary: £60,000-£75,000 DOE
  • Collaborative culture and great team support
  • Vast L&D opportunities both internally and externally

Senior Data Engineer - Microsoft Fabric employer: Peaple Talent

As a leading data consultancy in Edinburgh, we pride ourselves on fostering a collaborative culture that supports our employees' growth and development. With competitive salaries and extensive learning and development opportunities, we empower our Senior Data Engineers to excel in their roles while working on diverse projects for a range of clients. Join us to be part of a dynamic team where your contributions are valued and your career can flourish.
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Contact Detail:

Peaple Talent Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Familiarise yourself with Microsoft Fabric and its features. Understanding how it integrates with Azure Databricks and Azure Synapse will give you an edge in discussions during interviews.

✨Tip Number 2

Network with professionals in the data engineering field, especially those who work with Microsoft technologies. Engaging in relevant online communities or attending meetups can help you gain insights and potentially referrals.

✨Tip Number 3

Prepare to discuss your past projects that involved data solutions in Microsoft Azure. Be ready to explain your role, the challenges faced, and how you overcame them, as this will showcase your problem-solving skills.

✨Tip Number 4

Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on a small project or contributing to open-source projects to demonstrate your proficiency in these languages.

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

Data Engineering
Business Intelligence (BI)
Microsoft Azure
Microsoft Fabric
Azure Databricks
Azure Synapse
SQL
Python
Data Solution Design
Stakeholder Communication
Data Migration
Analytical Skills
Problem-Solving Skills
Collaboration Skills
Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your data engineering and BI skills, particularly your experience with Microsoft Azure, Fabric, Azure Databricks, and Azure Synapse. Use specific examples to demonstrate your expertise.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention your relevant experience and how it aligns with the company's goals, especially in relation to Microsoft Fabric.

Highlight Certifications: If you have any Azure Data Engineering or Microsoft Fabric certifications, be sure to mention them prominently in your application. This can set you apart from other candidates.

Showcase Communication Skills: Since great communication skills are essential for this role, consider including examples of how you've effectively communicated with senior stakeholders in past projects. This will demonstrate your ability to collaborate within a team.

How to prepare for a job interview at Peaple Talent

✨Showcase Your Technical Skills

Make sure to highlight your experience with Microsoft Azure, SQL, and Python during the interview. Prepare specific examples of projects where you've successfully designed and delivered data solutions using these technologies.

✨Demonstrate Your Knowledge of Microsoft Fabric

Since the role focuses on Microsoft Fabric, be ready to discuss your hands-on experience with it. Share insights on how you've utilised Fabric in previous projects and any challenges you overcame.

✨Communicate Effectively with Stakeholders

Given the importance of communication in this role, practice articulating complex technical concepts in a way that non-technical stakeholders can understand. This will showcase your ability to bridge the gap between technical and business teams.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills. Think about past experiences where you had to troubleshoot or innovate under pressure, particularly in data engineering contexts.

Senior Data Engineer - Microsoft Fabric
Peaple Talent
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  • Senior Data Engineer - Microsoft Fabric

    Broughton
    Full-Time
    60000 - 75000 £ / year (est.)

    Application deadline: 2027-05-02

  • P

    Peaple Talent

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