An impressive multinational firm is looking for an accomplished Data Engineer to join its team. Please note the role is hybrid – you will work from the office 3 days per week with 2 from home.
In this role, you will be responsible for designing, developing, and maintaining scalable data solutions that provide clean, structured, and accessible data to internal teams, stakeholders, and external partners. Working closely with developers, analysts, and business teams, you will help deliver cloud-based data platforms that support reporting, analytics, and data-driven innovation.
In order to be suitable for this role you must be an accomplished Data Engineer with hands-on experience with Azure data services, including Databricks, Data Factory and Data Lake solutions. You will have a proven track record of designing and optimising data warehouses and large-scale data platforms, supported by advanced SQL and reporting experience. Experience with Python is also essential, while experience with Fabric would also be advantageous to your application.
The successful Data Engineer will design, build, and maintain a modern cloud-based data platform that supports analytics, reporting, and operational systems across the organisation. Working closely with Data Science, development, and business teams, you will develop scalable data pipelines, manage SQL Server databases across on-premises and Azure environments, and ensure data is secure, reliable, and accessible.
You will play a key role in shaping the organisation's data architecture, identifying opportunities to improve data acquisition, automation, and performance, while helping to deliver a robust and scalable data ecosystem that supports future growth.
This is an outstanding opportunity for a personable Data Engineer to join a market leading business that offers an excellent range of benefits.