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- Tasks: Design and build scalable data pipelines using Microsoft Fabric.
- Company: Exalto Consulting, a leader in data and digital transformation.
- Benefits: Competitive salary, ongoing development support, and a collaborative culture.
- Why this job: Make a real impact in data engineering with cutting-edge technology.
- Qualifications: Strong ETL/ELT experience and proficiency in SQL and Python.
- Other info: Opportunity for career growth and shaping engineering standards.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Location: Leeds, West Yorkshire (2 days onsite per week)
Exalto Consulting is supporting a major organisation undergoing significant data and digital transformation. We are looking for a Senior Data Engineer with strong experience in Microsoft Fabric to help shape and deliver reliable, scalable data products.
Do you enjoy building dependable data pipelines? Want to work with a modern Fabric platform and influence engineering standards? Looking for a role with real impact rather than endless firefighting?
You will design, build and maintain ETL and ELT pipelines, lakehouse structures and semantic models using Microsoft Fabric’s Dataflows Gen2, Notebooks, Spark SQL and Python. Your work will ensure data is accessible, trusted and well governed across hybrid on‑prem and cloud environments.
You’ll collaborate closely with data architects, analysts and domain teams, supporting decentralised data products and helping embed best practice across data quality, lineage, observability and compliance.
What you’ll be doing
- Building end‑to‑end data pipelines and Fabric‑based lakehouse solutions.
- Creating semantic layers using star schema modelling and DAX.
- Embedding monitoring, lineage and data quality into pipelines.
- Integrating data from APIs, CRM/ERP systems and other third‑party sources.
- Ensuring secure, compliant data handling aligned with GDPR and ISO 27001.
- Supporting CI/CD deployment of version‑controlled artefacts.
What we’re looking for
Essential
- Strong experience designing and operating scalable ETL/ELT pipelines.
- Hands‑on Microsoft Fabric experience (Dataflows Gen2, Notebooks, semantic models).
- SQL and Python proficiency, with Spark/Spark SQL exposure.
- Practical understanding of data quality, observability and troubleshooting.
- Ability to explain technical concepts clearly and collaborate across teams.
Desirable
- CI/CD experience.
- High‑volume or real‑time data environments.
- Data cataloguing tools (e.g. Purview).
- Data mesh, AI/ML, or sustainability‑focused data practices.
What’s in it for you
- A modern Microsoft Fabric environment with real organisational investment.
- The opportunity to shape data engineering standards and reusable components.
- Varied, meaningful work across analytics, AI and operational data needs.
- A collaborative culture that values continuous improvement and learning.
- Support for ongoing development, including DP‑700 certification.
This is an urgent requirement so please apply immediately to be considered.
Senior Data Engineer (Microsoft Fabric) employer: Exalto Consulting
Contact Detail:
Exalto Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Microsoft Fabric)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects using Microsoft Fabric. We want to see what you can do, so make sure to highlight your best work when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss your experience with ETL/ELT pipelines. We recommend practising common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer (Microsoft Fabric)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Fabric and data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL, Python, and any experience with Spark. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
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’re considered for this exciting opportunity. Let’s get started on this journey together!
How to prepare for a job interview at Exalto Consulting
✨Know Your Microsoft Fabric Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric, especially Dataflows Gen2 and Notebooks. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your ETL/ELT Expertise
Prepare specific examples of scalable ETL and ELT pipelines you've designed or operated. Highlight the impact of your work on data accessibility and quality, and be ready to explain your approach to troubleshooting and ensuring compliance with standards like GDPR.
✨Demonstrate Collaboration Skills
Since this role involves working closely with data architects and analysts, think of instances where you've successfully collaborated across teams. Be prepared to discuss how you communicate technical concepts clearly and how you’ve contributed to best practices in data quality and observability.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current data projects, the team dynamics, or how they measure success in data engineering. This not only shows your enthusiasm but also helps you gauge if the role is the right fit for you.
