The KPMG Tax & Legal Technical Engineering function is a cornerstone of our business, supporting technical innovation and adoption of cutting-edge solutions across the United Kingdom. This team delivers technology-enabled outcomes across the Tax & Legal business using modern and best-in-class engineering methodologies.

KPMG is one of the world's largest and most respected consultancy businesses, having supported the UK through times of war and peace, prosperity and recession, political and regulatory upheaval.

Job Description

We are seeking a Senior Data Engineer with strong experience in Cloud data platforms, API integration, and modern data engineering tools to help deliver our Tax & Legal data and analytics strategy. The successful candidate will work closely with Lead Engineers, Architects, Product Owners, and BI Developers to design and implement scalable, high-performance data solutions.

This is a hands-on engineering role involving the design, development, and deployment of cloud-based data pipelines, integrations, and analytics-ready datasets. The role requires engaging with various stakeholders in engineering teams and the business to deliver business-critical solutions.

Responsibilities

• Design and implement scalable, high-performance data solutions.
• Collaborate with Data Architects and Data engineers to align with best practices and the firm's Data management policy.
• Engage with stakeholders in engineering teams and the business to deliver business-critical solutions.

Requirements

• Proven experience working as a data engineer or software engineer on Cloud data platforms, especially Azure.
• Strong hands-on experience with Azure Data Factory and Azure Databricks (or Microsoft Fabric).
• Strong problem-solving skills and the ability to logically analyze complex requirements, processes, and systems to deliver solutions.
• Solid understanding of data modeling, ETL/ELT processes, and data warehousing.
• Proficiency in SQL and Python (especially PySpark), as well as other relevant programming languages.
• Passion for using data to drive key business decisions.

Preferred Qualifications

• Experience with Microsoft Fabric.
• Familiarity with other cloud platforms (AWS, GCP).
• Experience integrating with ERP systems such as SAP, Oracle, or Netsuite.
• Knowledge of Power Platform (Power Apps, Power Automate).
• Knowledge of Delta Lakehouse architectures and concepts.
• Experience with Azure Synapse (dedicated and serverless pools), Azure Data Lake, and Azure SQL.
• Familiarity working in a DevOps environment.
• Experience with REST APIs, including endpoint authentication and integration (e.g., Microsoft Graph APIs).

KPMG is an equal opportunities employer and welcomes applications from all sections of the community.