Lead Data Engineer - KPMG Curve

KPMG-UnitedKingdom; Leeds; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

KPMG is seeking a Lead Data Engineer for their Curve division in Leeds, focusing on delivering high standards in cloud data engineering and leading solutions. This hybrid role supports technical focus without management duties, promotes continuous learning, and provides important benefits for work-life balance.

Benefits

Flexible hours and part-time options

Learning allowance

Paid overtime

Work-life balance emphasis

Qualifications

• Experience in cloud data engineering.
• Knowledge of database technologies (Oracle, MySQL, MongoDB).
• Capable of leading client delivery with high standards.

Responsibilities

• Lead client delivery, ensuring high standards.
• Design, build, and maintain data pipelines and infrastructure.

Skills

Python

Scala

Spark

SQL

Data Security

System Architecture

Agile Methodologies

Strong Communication

Tools

AWS

Azure

GCP

Tableau

Power BI

Job description

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Job description

Lead Data Engineer - Manager - KPMG Curve 106256

Base Location: Leeds based (Hybrid - 3 days per week in office)

Requirements: Applicants must hold or be capable of obtaining UK National Security Vetting, which may include residency in the UK for at least 5 years and UK or dual UK nationality. Applications will not be considered without these requirements.

About KPMG Curve:

We are KPMG's newest tech venture, focused on innovation and staying at the forefront of technology, including AI, coding for sustainability, and more.

Why Join as a Lead Data Engineer?

• Fast progression and continuous learning opportunities
• Stay technically focused without management responsibilities
• Benefits include a learning allowance, paid overtime, and emphasis on work-life balance

Responsibilities:

• Lead client delivery, ensuring high standards
• Bring experience in cloud data engineering and contribute to team solutions

Requirements:

• Experience with Python, Scala, Spark, SQL
• Knowledge of database technologies (Oracle, MySQL, MongoDB, etc.)
• Design, build, and maintain data pipelines and infrastructure
• Understanding of data security and system architecture
• Experience with code review standards and troubleshooting
• Experience with cloud platforms and native cloud resources
• Leading Agile methodologies
• Strong communication skills and ability to work with cross-functional teams

Preferred Extras:

• Experience with AWS, Azure, GCP
• Knowledge of data visualization tools (Tableau, Power BI)
• Experience with machine learning and data science applications
• Familiarity with open-source technologies and Data Platform Technologies like Quantexa, Palantir, DataBricks
• Knowledge of test automation frameworks

Locations:

• Leeds (core location), with 3 days/week in the office

Flexible hours and part-time options available—discuss with the team.

Additional Information:

• Explore more about KPMG Technology and Engineering divisions
• Support for applications and interview tips available through links provided