Job description
Senior Data Engineer - Assistant Manager 106257
Base Location: 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. Please note your application will not be taken forward if you cannot fulfil these requirements.
This is KPMG Curve, our newest tech venture. And we're doing things a little differently. Here to solve our clients' biggest challenges and uncover even bigger opportunities, KPMG Curve is all about staying at the cutting edge of technology and swerving the mundane.
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. In a world where tech is always changing, so are we.
Why Join KPMG Curve as a Senior Data Engineer
Progression at pace. Innovation, led by constant learning. Work that excites you with every twist and turn. It all starts at KPMG Curve. Here, you'll progress your career as part of a connected team, while being encouraged to be your true, authentic self.
At KPMG Curve, we offer career paths that can accelerate top performers, without having to go into management. You can stay technically-focused and carry on improving in your favourite tech field. You won't be responsible for any sales work, either.
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. At the end of the day, your well-being is what matters most.
What will you be doing?
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.
The Senior Engineer would be expected to work as part of a client delivery team, working to the highest technical standards.
What will you need to do it?
A high percentage of work will require individuals 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.
1. Experience in prominent languages such as Python, Scala, Spark, SQL.
2. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc.
3. Experience with the design, build and maintenance of data pipelines and infrastructure
4. Understanding of design practices and system architecture and with a focus on data security
5. Experience of working to code review standards to maintain quality
6. Excellent problem solving skills with experience of troubleshooting and resolving data-related issues
7. Extensive experience driving and leading Agile methodologies (Scrum, pair-programming etc)
8. Have the ability to work in a cross functional team of Business Analysts and demonstrating an excellent understanding of business requirements.
9. Strong communication skills along with ability to lead a team towards a great product/service and articulate technical strategies to non-technical audiences including clients at all levels including C-suite
Skills we'd love to see/Amazing Extras:
10. Experience in data engineering/analytics using native technologies of least one cloud platform (AWS, Azure, GCP)
11. Experience working with cloud platforms and in particular architecting with native cloud resources relevant to data problems
12. Knowledge of data visualisation tools such as Tableau or Power BI
13. Interest in building Machine learning and Data science applications
14. Ability to use wide variety of open-source technologies
15. Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir and DataBricks
16. 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.
Our Locations:
We are open to talk to talent across the country but our core Tech hubs for this role are:
17. Leeds
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. If you have a need for flexibility, please register and discuss this with our team.
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