Microsoft Fabric Data Engineer

LA International
Bath
2 months ago
Applications closed

Related Jobs

View all jobs

Azure Data Engineer (Microsoft Fabric)

Fabric Data Engineer

Fabric Data Engineer - Outside IR35 - Hybrid

Data Engineer

Data Engineer - Birmingham

Data Engineer (SC Cleared)

Microsoft Fabric Data Engineer

IR35: inside, 600pd


Location: Remote, occasional travel to client site.


Length: 3 months initial, scope for extensions.


Job Overview

Are you an experienced Microsoft Data Engineer with experience in Microsoft Fabric?


We are seeking a proactive and skilled Microsoft Fabric Data Engineer to join our growing team. In this role, you will be instrumental in designing, developing, and maintaining robust data solutions within the Microsoft Fabric ecosystem and delivering compelling solutions for our clients.


If you are passionate about transforming data into actionable insights, building scalable data pipelines, and leveraging cutting-edge cloud technologies to solve complex business challenges, we encourage you to apply.


Your Transferable Skills and Experience

  • Microsoft Fabric Expertise: evidence of designing, developing, and maintaining data solutions using key Microsoft Fabric components (Lakehouse, Data Factory, Notebooks, Dataflow Gen2, OneLake).
  • Azure Ecosystem Knowledge: Strong experience with other Azure Data Services including Azure Databricks, Azure Data Factory, Azure Synapse Analytics and Azure SQL. Also requires knowledge of Azure DevOps CI/CD pipelines.
  • Data Modelling & ETL/ELT: Experience of implementing robust data models and developing efficient ETL/ELT processes using SQL and Azure Data Factory/Dataflow Gen2.
  • Power BI Development: Experience in designing, developing, and implementing complex Power BI reports and dashboards. Proficiency in writing complex DAX formulas and strong understanding of Power Query.
  • Programming Skills: Requires strong Python/PySpark for data manipulation, analysis, and automation, alongside advanced T-SQL.
  • Performance Optimisation: Experience of monitoring, troubleshooting, and optimising data pipeline and storage performance within Microsoft Fabric.
  • Team Collaboration: Ability to communicate technical concepts clearly and collaborate effectively within a team to ensure data quality and integrity. Must have excellent communication skills with written and verbal fluency in English and be willing to travel to meet clients.

LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds.


Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.