Job Description

At KPMG, reliable and accessible data is essential to how we operate, make decisions and continuously improve our business.

We are looking for an experienced and hands-on Data Platform Lead to take technical ownership of our internal data and analytics platforms. You will play a key role in ensuring that our existing solutions remain stable, secure and reliable, while driving the development and modernization of our data capabilities across the Nordics.

We are currently modernizing our data platform, with Microsoft Azure, Microsoft Fabric, Azure Databricks and Power BI forming part of our future architecture. You will have the opportunity to contribute to this transformation and help shape how we manage, integrate and use data across the organization. This is an opportunity for someone who enjoys combining technical expertise with ownership and the ability to influence how technology evolves. You will be part of our existing data & integrations team where you will take technical ownership of the data area and collaborate with business stakeholders and technology teams across KPMG.

What you will be doing:

Take a leading technical role in the development, operation and continuous improvement of our data platforms and initiatives, with technical ownership spanning architecture, integrations, data pipelines, storage, processing and analytics capabilities.

A key focus will be the continued development and modernization of the platform, including designing and implementing modernized architecture, evaluating new technologies and identifying opportunities to improve existing solutions using Microsoft Azure, Fabric, Databricks and related services.

Key responsibilities include:

• Data engineering: Design, develop and optimize reliable data pipelines, data integrations, transformation processes and data models to support reporting, analytics and future AI use cases.
• Data modeling and architecture: Design and maintain well-structured, reusable data models, applying appropriate modeling principles and techniques to ensure consistency, scalability, performance and ease of consumption.
• Platform operations and maintenance: Ensure the stability, availability and performance of existing solutions by monitoring data flows, troubleshooting incidents, resolving technical issues and proactively improving reliability.
• Data quality and governance: Establish and maintain standards for data quality, security, access management, documentation and data lifecycle management.
• DevOps and automation: Implement and improve development practices, including version control, CI/CD, automated testing, monitoring and Infrastructure as Code.

Continuous improvement of platform performance, scalability, resource utilization and cost efficiency will also be an important part of the position. Close collaboration with stakeholders across Finance, HR, IT and other business functions will help translate business needs into technical solutions and prioritize platform improvements.

The position also involves working with internal technology teams, external partners and vendors to ensure consistent architecture, effective delivery and long-term maintainability.

Who are you?

We believe you have a strong background in data engineering, data platform development or cloud-based data architecture, combined with a genuine interest in building and improving reliable, scalable solutions.

Ideally, you bring:

• 5+ years of relevant experience in data engineering, data platforms or similar technical roles, preferably with experience taking technical ownership of solutions.
• Solid experience with Microsoft Azure and one or more modern data platform technologies, such as Microsoft Fabric or Azure Databricks.
• Strong SQL skills and experience with Python and/or PySpark.
• Experience designing and developing data pipelines, ETL/ELT processes, data warehouses and lakehouses.
• Good understanding of data modeling principles and techniques, including relational and dimensional modeling, normalization, star schemas and the design of analytical data models.
• Familiarity with Power BI, semantic models and the requirements of enterprise reporting and analytics.
• Experience with cloud platform operations, monitoring, troubleshooting and performance optimization.
• Understanding of DevOps practices and tools such as Git, Azure DevOps, CI/CD and infrastructure as Code.
• Good understanding of security, identity and access management, data governance and data protection principles.

Experience with established enterprise data warehouse technologies, particularly Microsoft SQL Server, including SQL Server Integration Services (SSIS) and/or SQL Server Analysis Services (SSAS), would be beneficial, but is not essential. Familiarity with Oracle databases or other legacy data platform technologies would also be an advantage. You do not need to be an expert in every technology mentioned. We value strong technical fundamentals, practical experience and the ability to learn and adapt.

As a person, you are

• Proactive, structured and comfortable taking ownership of technical solutions.
• Curious about new technologies and motivated by continuous improvement.
• Equally comfortable troubleshooting existing systems and designing future solutions.
• Able to balance long-term architectural decisions with pragmatic, hands-on implementation.
• A strong communicator who can translate complex technical topics into clear recommendations for both technical and non-technical stakeholders.
• Comfortable working independently while coordinating effectively with colleagues and stakehold.

What we offer: At KPMG, you will have the opportunity to make a meaningful impact on the technology that supports our business. You will take on a central role with significant influence over the development and future direction of our internal data platform. You will contribute to the modernization of the platform, working with modern cloud and data technologies while continuing to improve established, business-critical solutions.

The role offers close collaboration with experienced technology, analytics and business professionals across KPMG, and combines engineering, architecture, problem-solving and technical leadership. You will also have opportunities to develop your expertise and continue learning as part of an international organization.

Interested in taking ownership of a business-critical data platform and helping shape its future? We would love to hear from you.