Data Engineer

Data Engineer - Hybrid - London / 2 or 3 days work from home
Circ £55,000 - £70,000 + Excellent Benefits Package
A fantastic opportunity is available for a Data Engineer that enjoys working in a fast paced and collaborative team playing work environment. Our client is a prestigious and successful ecommerce / wholesale business trading all over the globe. They've been expanding at a remarkable pace and as a consequence have transformed their technical landscape with leading edge solutions. Having implemented a new MS Fabric based Data platform, the need is now to scale up and deliver data driven insights and strategies right across the business globally. The Data Engineer will be joining a close knit friendly team that is the hub of our clients global data & analytics operation. The role would suit a mid-level data engineer, or a junior engineer with 2 years experience looking to take the next step up. Previous experience with MS Fabric would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowfake etc.
Key Responsibilities will include;

• Design, implement, and optimize end-to-end solutions using Fabric components:
  
  • o Data Factory (pipelines, orchestration)
    
  • o Data Engineering (Lakehouse, notebooks, Apache Spark)
    
  • o Data Warehouse (SQL endpoints, schemas, MPP performance tuning)
    
  • o Real-Time Analytics (KQL databases, event ingestion)
    
  • o Manage and enhance OneLake architecture, delta lake tables, security policies, and data governance within Fabric.
    
  • o Build scalable, reusable data assets and engineering patterns that support analytics, reporting, and machine learning workloads.
    
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions.
  
• Troubleshoot and resolve data-related issues in a timely manner.
  Key Experience, Skills and Knowledge:
  
• Proven 2 yrs+ experience as a Data Engineer or similar role, with a strong focus on PySpark, SQL, Microsoft Azure Data platforms and Power BI an advantage
  
• Proficiency in development languages suitable for intermediate-level data engineers, such as:
  
  • Python / PySpark: Widely used for data manipulation, analysis, and scripting.
    
  • SQL: Essential for querying and managing relational databases.
    
• Understanding of D365 F&O Data Structures is highly desirable
  
• Strong problem-solving skills and attention to detail.
  
• Excellent communication and collaboration abilities.
  This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week. Salary will be dependent on experience and likely to be in the region of £55,000 - £70,000 + an attractive benefits package including bonus scheme.
  For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. YES are operating as both a recruitment Agency and Recruitment Business