About the Role
We are seeking an experienced Azure Data Engineer to handle the data engineering aspect of a new project for our client. The project will involve working with Synapse workspace, Data Factory and SQL Backend. The ideal candidate should possess experience in Databricks with PySpark and Datamodelling, as well as wealth management or investment experience. The candidate will be customer-facing and should have previous consultancy experience.
Responsibilities:
Attend scrums and deliver sprints
Check code into Azure DevOps and perform unit testing
Work closely with the customer to ensure project success
Requirements
Desirable Skills:
Wealth management or investment experience
Team:
The candidate will be joining a mainly client-facing team. A customer-facing and consultancy background would be ideal for this role.
Interview Process:
10-minute interview with our customer
1-hour interview with end customer
If you are interested in this position, please upload a copy of your up-to-date CV via the website. We will contact you if your application is successful.
Note: Visa Sponsorship is available for this listing.
About the Company
We’re a 650-strong team of straight-talking, first-class tech experts. And our mission is do what no other organisation is doing – making digital transformation accessible to all.
How? Our people. The lifeblood of our business. They dream-up solutions that have never been delivered before. They dare to tackle problems, no one else can. Every day they wake up and challenge the status quo. It’s no wonder we’ve been hailed the mavericks of the tech industry.
We make enterprise grade technology, knowledge and processes accessible and affordable for all companies. We make it our mission to hack the adoption curve and bring technology usually available to large corporates first, to small and medium size businesses. By hacking the curve, we help companies Think Bigger.