Base Location: Leeds based (Hybrid – 3 days per week in office)
Security Requirements: 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. We’re here to solve our clients’ biggest challenges and uncover even bigger opportunities, staying at the cutting edge of technology.
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 Curve, we offer career paths that can accelerate top performers without having to go into management. You can stay technically-focused and continue improving in your favourite tech field without any sales responsibilities.
Other benefits include a learning allowance and paid overtime, prioritising your work-life balance. Your well-being is what matters most.
What will you be doing?
We welcome data engineers with experience in cloud environments who are 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, maintaining 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.
1. Experience in prominent languages such as Python, Scala, Spark, SQL.
2. Experience with database technologies from an application programming perspective (Oracle, MySQL, Mongo DB, etc.).
3. Experience in the design, build, and maintenance of data pipelines and infrastructure.
4. Understanding of design practices and system architecture with a focus on data security.
5. Experience of working to code review standards to maintain quality.
6. Excellent problem-solving skills with experience troubleshooting and resolving data-related issues.
7. Extensive experience driving and leading Agile methodologies (Scrum, pair-programming, etc.).
8. The ability to work in a cross-functional team of Business Analysts, demonstrating an excellent understanding of business requirements.
9. Strong communication skills, with the ability to lead a team towards a great product/service and articulate technical strategies to non-technical audiences, including clients at all levels.
Skills we’d love to see/Amazing Extras:
1. Experience in data engineering/analytics using native technologies of at least one cloud platform (AWS, Azure, GCP).
2. Experience working with cloud platforms and architecting with native cloud resources relevant to data problems.
3. Knowledge of data visualisation tools such as Tableau or Power BI.
4. Interest in building Machine Learning and Data Science applications.
5. Ability to use a wide variety of open-source technologies.
6. Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir, and DataBricks.
7. Knowledge of test automation frameworks and the ability to automate testing within the pipeline.
To discuss this or wider Technology roles with our recruitment team, apply, create a profile, upload your CV, and begin to make your mark with KPMG.
Our Locations:
We are open to talent across the country, but our core Tech hubs for this role are:
* 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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