Fabric Data Engineer

London
3 weeks ago
Create job alert

Fabric Data Engineer

I am working with a data driven Microsoft partnered consultancy who are looking for a Fabric Data Engineer to join their growing team. You will have the opportunity to work with some of the latest Microsoft technologies with a focus on projects on Fabric implementations.

You will join a team at the centre of a number of data-driven projects where you will be responsible for the design, development and creation of data solutions. You will work on the full end-to-end product lifecycle from platform design to insights creation.

As part of this role, you will be responsible for some of the following areas

Design, develop and maintain data pipelines that are responsible for the ingestion and transformation of data between different sources
Create and develop data models
Development of cloud data platforms solutionsTo be successful in the role you will have

Solid experience designing and delivering data solutions focused on MS Fabric
Strong ETL experience with tools such as ADF or SSIS
Experience working with Azure technologies - Synapse, Databricks, Data Lake
Knowledge of data architecture principles and data modellingIn this role you will be required to attend the office 2/3 times per week in London, with the remain time spent working remotely. Some of the benefits included with the role are listed below

Starting salary of up to £70,000
Performance related annual bonus
25 days annual leave (plus bank holidays)
Employer pension contribution scheme
Private health/medical care
Various retail discounts and more!This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP, so don't miss out, APPLY now! To do so please email me at (url removed) or call me on (phone number removed)

Related Jobs

View all jobs

Data Delivery Lead

Senior Data Engineer - Fabric - £70,000 - London

Data Engineer - Databricks

MS Fabric Consultant - Azure

PowerBI Developer (SQL)

Senior Data Engineer - Remote - £70k

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Tips for Staying Inspired: How Data Engineering Pros Fuel Creativity and Innovation

Data engineering stands at the core of modern business intelligence, analytics, and machine learning initiatives. As more organisations become data-driven, the demands on data engineers—everything from building robust pipelines and optimising data warehouses to cleaning and transforming petabytes of raw information—only intensify. Yet, remaining innovative and creative in this rapidly evolving space can be challenging when faced with routine maintenance, endless transformations, and the pressure of meeting tight deadlines. So, how do data engineers stay inspired and consistently generate new ideas? Below are ten actionable strategies to help data pipeline experts, ETL developers, and cloud data architects maintain an inventive outlook, even when operations are complex and the stakes are high. If you’re looking to expand your skills, tackle challenges from fresh angles, and reinvigorate your passion for data engineering, these tips can guide you toward a more fulfilling and impactful career.

Top 10 Data Engineering Career Myths Debunked: Key Facts for Aspiring Professionals

Data is the lifeblood of modern businesses. Whether it’s guiding strategic decisions, powering advanced analytics, or fuelling machine learning models, the role of data has evolved from a back-office function to a primary driver of innovation. In this ecosystem, data engineers serve as architects and builders, designing the infrastructure and pipelines that allow organisations to collect, transform, and mobilise data efficiently. Despite the importance and rapid growth of this field, plenty of myths and misconceptions continue to cloud the realm of data engineering. Are data engineers merely “ETL developers”? Does the role only exist in big tech companies? Must you be a Python guru with a master’s degree in computer science? At DataEngineeringJobs.co.uk, we see firsthand how these myths can deter aspiring professionals from stepping into one of the most dynamic fields in data. This article aims to dispel the top 10 misconceptions about data engineering careers—shedding light on the real opportunities, necessary skills, and diverse pathways that define this vital profession. Whether you’re a student considering data engineering as your future vocation or a seasoned professional seeking a career pivot, read on. You might discover that data engineering is more inclusive and wide-ranging than you ever imagined.

Global vs. Local: Comparing the UK Data Engineering Job Market to International Landscapes

How to navigate opportunities, salaries, and work culture in data engineering across the UK, the US, Europe, and Asia Data engineers are the unsung heroes of the modern business world. While data scientists and analysts often take centre stage for generating actionable insights or building predictive models, these outputs are impossible without robust pipelines, efficient data warehouses, and scalable infrastructures—tasks that fall squarely on the shoulders of data engineers. With data emerging as the "new oil" that fuels competitive advantage, organisations across the globe are racing to hire professionals who can design and maintain the plumbing that keeps information flowing safely and efficiently. In this article, we explore how the UK data engineering job market compares to major international hubs, including the United States, Europe, and Asia. We will evaluate the demand for data engineers, salary benchmarks, work culture differences, and provide guidance for those contemplating remote or overseas opportunities. Whether you’re a seasoned veteran in the field, a recent graduate eyeing your first big role, or a professional pivoting from a related domain like software engineering or database administration, understanding the global landscape of data engineering can help you plot a rewarding career path. By the end of this overview, you’ll have a clearer sense of how data engineering roles differ from region to region, which locations may offer the highest returns—or the best work-life balance—and how to strategise your next move in an industry that’s rapidly evolving.