Senior Data Engineer

Company:  Spencer Rose
Location: London
Closing Date: 30/11/2024
Salary: £80000/annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
Senior Data Engineer Data Bricks - ADF - 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 modeling, 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 modeling, 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 modeling 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
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