Responsibilities/ Attributes

• You will be in a client facing role, engaging with C-suite and senior executives to set the vision and then in the delivery and operationalisation of data architecture and technology platforms.
• Translate complex data concepts into compelling, actionable advice for stakeholders.
• A visible practice leader, shaping thought leadership, owning and refining propositions for relevance, and driving go-to-market activities.
• Lead the design and implementation of modern data platforms and architectures, including data Lakehouse, data engineering and advanced analytics ecosystems enabling scale implementation and adoption of Artificial Intelligence (ML, GenAI and Agentic).
• Develop and own end-to-end solution implementations using technologies such as Collibra, Informatica, Databricks, Quantexa, and Microsoft Fabric, ensuring scalability and impact. 
• Build, mentor, and inspire multi-disciplinary teams, fostering a culture of collaboration and innovation across onshore, nearshore and offshore locations.
• Champion delivery: unblock obstacles, step into the details, and deliver quiet confidence that you’ll get things done. 

At KPMG, we support clients on their AI transformation journeys to drive profitability while mitigating reputational, operational, and financial risks. Our specialized Data & AI team leverages advanced analytical techniques and industrial-scale AI platforms to accelerate this transformation. Our projects span industries such as Financial Services, Retail, Public Sector, Healthcare, Energy, and Utilities, with a focus on extracting data insights, building AI models, and delivering value through engaging, data-driven stories.

At KPMG, we believe in the importance of creating consistently brilliant customer and employee experiences. The way we do that is by combining our unique insights with a talented team of experience designers alongside the transformation capability to make it real.

We are looking for a skilled and proactive Data Engineer with strong expertise in the Microsoft Azure data ecosystem, including Microsoft Fabric, Synapse Analytics, and Delta Lake. This role requires hands-on experience in building and optimising data pipelines and notebooks, transforming large datasets, and enabling data-driven decision-making across the organisation.

The successful candidate will play a key role in designing and implementing scalable data solutions, collaborating with both technical and non-technical stakeholders, and helping shape our modern data architecture.

Key Responsibilities

• Design, develop, and maintain robust data pipelines and notebooks using Synapse Analytics and Microsoft Fabric.
• Build and optimise complex data transformation and ingestion logic to support enterprise-level reporting and analytics.
• Leverage Delta Lake architecture to support both batch and streaming data processes.
• Develop high-quality, reusable code in Python and PySpark, following best practices and ensuring maintainability.
• Create insightful, interactive reports and dashboards using Power BI.
• Use Git and Azure DevOps (ADO) for version control and deployment workflows.
• Continuously improve the performance, reliability, and scalability of data systems.
• Advocate for best practices in data governance, data quality, and documentation.