Microsoft Fabric Data Engineer

Onyx-Conseil; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading data solutions firm is seeking an experienced Microsoft Fabric Data Engineer to design and maintain robust data solutions. You will work within the Microsoft Fabric ecosystem to create scalable data pipelines, utilizing Azure services and tools. The ideal candidate has strong experience with MS Fabric components and is proficient in programming with Python and T-SQL. This position offers a remote working option with occasional client site visits.

Qualifications

• Evidence of designing, developing, and maintaining data solutions using Microsoft Fabric components.
• Strong experience with Azure Data Services and Azure DevOps CI/CD pipelines.
• Experience implementing robust data models and ETL/ELT processes.

Responsibilities

• Design, develop, and maintain robust data solutions within Microsoft Fabric.
• Transform data into actionable insights and build scalable data pipelines.

Skills

Microsoft Fabric Expertise

Azure Ecosystem Knowledge

Data Modelling & ETL/ELT

Power BI Development

Programming Skills (Python/PySpark)

Performance Optimisation

Team Collaboration

Job description

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.