Senior Data Engineer – Assistant Manager
Leeds based (Hybrid – 3 days per week in office)
As a result of the work that we do, we require applicants to hold or be capable of obtaining UK National Security Vetting, the requirements for which could include but not be limited to having resided in the UK for at least the past 5 years and being a UK national or dual UK national. As a fast-growing digital delivery service, we always stay ahead of the curve by keeping up with ever-evolving tech practices. Whether that’s unlocking the power of AI, coding for the future of the planet or everything in-between. Why Join KPMG Curve as a Senior Data Engineer
You can stay technically-focused and carry on improving in your favourite tech field. Other benefits include a learning allowance (so you can control your own growth) and paid overtime – prioritising the things that matter most to you. We take our work-life balance seriously, and will make sure you get time back if you’ve been working on anything heavy. We welcome data engineers with experience in cloud environments who are happy to bring their views and experiences into the team and add another dimension to our solutions. We need you to be enthusiastic and inquisitive about new technology with a desire to continuously improve data engineering practices.
Experience in prominent languages such as Python, Scala, Spark, SQL.
Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc.
Experience with the design, build and maintenance of data pipelines and infrastructure
Understanding of design practices and system architecture and with a focus on data security
Experience of working to code review standards to maintain quality
Excellent problem solving skills with experience of troubleshooting and resolving data-related issues
Extensive experience driving and leading Agile methodologies (Scrum, pair-programming etc)
Experience in data engineering/analytics using native technologies of least one cloud platform (AWS, Azure, GCP)
Experience working with cloud platforms and in particular architecting with native cloud resources relevant to data problems
Knowledge of data visualisation tools such as Tableau or Power BI
Interest in building Machine learning and Data science applications
Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir and DataBricks
Knowledge of test automation frameworks and ability to automate testing within the pipeline
To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG.
We are open to talk to talent across the country but our core Tech hubs for this role are:
~ This position will be based from our Leeds offices, with 3 days per week in the office
We can potentially facilitate flexible hours, and part-time options. Technology and Engineering at KPMG :
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