Data Engineer

Leicester Square
4 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer (with MS Fabric experience)
Initial 6 month contract outside IR35 - Circ £500 - £600 per day (DOE)
Work From Home + Central London office 1 or 2 days per week
 
A pragmatic and self-sufficient Data Engineer with solid practical experience of the Microsoft Fabric platform in an Enterprise setting is required for this initial 6 month assignment with potential for further extension. Working along our clients Data Architect, the Data Engineer will work closely with the Global Finance team and external partners to deliver Finance solutions. Having implemented a Finance Lakehouse using the MS Fabric platform primarily integrating D365 data, they are now expanding into additional regions and integrating with other systems. The Data Engineer will use their knowledge of working with the MS Fabric platform to recommend improvements to the current setup, so it's important they can engage effectively with finance stakeholders regarding the implementation and testing of new features / changes.
 
Key responsibilities include:

Enhance the use of Fabric within the Finance Lakehouse by recommending setup improvements and developing out the existing logging and automated testing processes.
Deliver business-as-usual (BAU) support.
Develop and document new features for the platform.
Support the Architect in managing DevOps tickets and overseeing Azure and Power Platform assets.
Collaborate with the Architect to establish peer review practices and assess the feasibility of implementing continuous integration (CI) builds.
Partner with the Architect to transition from a "fail fast" approach to a more stable and controlled iteration management process.  To be considered for the post you'll need all the essential criteria
Essential

SQL
Pyspark/Python

6 months of practical Fabric experience in an Enterprise setting
Power BI/Fabric Semantic Models
Ability to work with / alongside stakeholders with their own operational pressures
Able to follow best practices and adapt, even without established iteration management Desirable

DBT
Previous experience of working with D365 data
API Integration (OData ideally)
Basic accounting knowledge
Snowflake This assignment is signed off and approved with the hope of getting someone started ASAP and before Christmas. Day rate is dependent on experience and expected to be in the region of £500 - £600 outside IR35.
For further information, please send your CV to Wayne Young at Youngs Employment Services Ltd. YES acts in the capacity of both an Employment Agent and Employment Business

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.

Careers

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.

Jobs

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.

Careers Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.