Senior Data Engineer - KPMG Curve
Location: Leeds
Capability: Advisory
Experience Level: Associate/Assistant Manager
Type: Full Time
Service Line: Technology & Data
Contract type: Permanent
Base Location: Leeds based (Hybrid – 3 days per week in office)
We require applicants to hold or be capable of obtaining UK National Security Vetting, which may include residing in the UK for at least the past 5 years and being a UK national or dual UK national.
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. Part of a connected team, encouraging authentic self. Career paths for top performers without management responsibility. Learning allowance and paid overtime. Work‑life balance seriously ensuring well‑being.
What will you be doing?
Welcome data engineers with experience in cloud environments bringing views and experiences. Enthusiastic and inquisitive about new technology. Desire to continuously improve data engineering practices. Senior Engineer expected to work as part of a client delivery team to the highest technical standards.
What will you need to do it?
* 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 with a focus on data security.
* Excellent problem solving skills with experience of troubleshooting and resolving data‑related issues.
* Ability to work in a cross‑functional team of Business Analysts and understanding of business requirements.
Skills we’d love to see
* Experience in data engineering/analytics/ architecture using native technologies of least one cloud platform (AWS, Azure, GCP).
* Interest in building Machine learning and Data science applications.
* Ability to use wide variety of open‑source technologies.
* 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.
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