At a Glance
- Tasks: Lead the design and implementation of data platforms using Microsoft Fabric.
- Company: A growing consultancy known for modern, scalable data solutions.
- Benefits: Bonus up to 10%, remote work, advanced training, and fast career progression.
- Other info: Work in a culture that values learning, innovation, and trust.
- Why this job: Join a pioneering team delivering at scale on Microsoft Fabric.
- Qualifications: Experience with Azure, SQL, Python, and leadership in engineering teams.
The predicted salary is between 45000 - 55000 £ per year.
Data & Engineering Practice Lead | Helping businesses secure the best talent in Data. We’re working with a growing consultancy known for delivering modern, scalable data solutions. Their work sits at the intersection of strategy, engineering and innovation, empowering organisations to unlock value through cutting‑edge Microsoft technologies.
As part of their continued growth, they’re now seeking a Senior Data Engineer to take a pivotal role in delivering enterprise‑grade data solutions, with a strong focus on Microsoft Fabric and the wider Azure ecosystem.
What you’ll do:
- Lead the design and implementation of data platforms powered by Microsoft Fabric.
- Guide delivery teams through complex builds across cloud‑native architectures.
- Bridge the gap between hands‑on engineering and technical strategy.
- Collaborate closely with clients and internal stakeholders to translate needs into scalable solutions.
What you bring:
- Deep experience with Microsoft Azure, particularly around data services.
- Proven track record delivering with tools such as Fabric, Databricks or Snowflake.
- Proficiency in SQL, Python, and modern data‑engineering patterns.
- Leadership experience within engineering or delivery teams.
- A consultancy mindset – adaptable, curious, and client focused.
Location & Flexibility: Primarily remote, with periodic team sessions in London.
Why consider this?
- Bonus up to 10%.
- Be part of one of the first waves delivering at scale on Microsoft Fabric.
- Work in a culture that values learning, innovation, and trust.
- Access to advanced training, cloud certifications, and fast‑paced career progression.
Details:
- Seniority level: Mid‑Senior level.
- Employment type: Full‑time.
- Job function: Engineering, Analyst, and Consulting.
- Industries: IT Services and IT Consulting, Business Consulting and Services, and Information Services.
Senior Data Engineer - Microsoft Fabric in England employer: Peaple Talent
Join a dynamic and innovative organisation in the UK that prioritises employee growth and development, offering a collaborative work culture where your contributions are valued. As an IP Engineering Lead, you will benefit from a supportive environment that encourages technical excellence and leadership, with ample opportunities to shape engineering standards and advance your career in the rapidly evolving field of network services.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Microsoft Fabric in England
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We think you need these skills to ace Senior Data Engineer - Microsoft Fabric in England
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!
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Craft a Tailored Cover Letter:For a full-time role at Peaple Talent, 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 Peaple Talent. 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 Peaple Talent
✨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!
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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
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 Peaple Talent!
✨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.
