Senior Data Engineer

Data Bricks - PySpark - Python - SQL

London or Bedford (x2 days a month)

Up to £80,000

My client, one of the largest healthcare organizations in the UK are expanding their data team to help transform their new health care data eco-system. They're embarking on a pivotal migration journey, moving from on-premises to the Azure cloud, and need an experienced Senior Data Engineer to help drive this transformation. This is an opportunity to make a real difference in the healthcare sector, impacting data systems that support critical decisions across the organization.

As a Senior Data Engineer, you'll play a key role in their dynamic data team, focusing on building a new healthcare data ecosystem. Your expertise in designing, implementing, and optimizing data solutions will support their migration to Azure and facilitate high-quality data operations. You'll be responsible for complex data structures, data modelling, and analysis, ensuring data is accessible, accurate, and efficient for both technical and non-technical stakeholders.

Responsibilities

• Lead the design and implementation of data pipelines and architectures in Databricks and Azure Data Factory.
  
  
• Develop robust data processing solutions in Python and PySpark, ensuring high efficiency and reliability.
  
  
• Use expert knowledge to design and develop ETL pipelines and cloud data storage solutions that meet business requirements, while also taking into consideration non-functional needs.
  
  
• Work closely with stakeholders across technical and non-technical backgrounds to understand data needs and provide optimal solutions.
  
  
• Ensure data integrity, quality, and accessibility across the new Azure-based healthcare ecosystem.
  
  
• Contribute to data modelling, data analysis, and migration strategies, with a focus on creating sustainable and scalable solutions.
  
  
• Collaborate with the wider data team to establish best practices in data structure, pipeline optimization, and performance tuning.
  
  Requirements
  
  
• 6+ years in data engineering with a strong focus on cloud data migration projects:
  
  
• Proficiency with Databricks and Azure Data Factory.
  
  
• Advanced knowledge of Python and PySpark.
  
  
• Strong command of SQL for data transformation, cleaning, and manipulation
  
  
• Experience working in CI/CD, DevOps and agile delivery environments
  
  
• In-depth understanding of data structures and data architectures.
  
  
• Solid experience in data modelling and data analysis.
  
  
• Strong collaboration skills, with the ability to engage and influence both technical and non-technical stakeholders effectively.
  
  If this sounds like the role for you hit APPLY & a consultant will be in touch