Job Description
Our Connected Technology Group (CTG) defines and drives the digital, data and technology strategy for KPMG. We have an important advocacy role for technology in the market and across KPMG, working with our technology leaders to build our market presence. We cultivate collaboration and integrate tech execution across our business, driving a firmwide approach to how we go-to-market and build the capability of our people and attract new talent.
Your Opportunity
The role of Senior Data Engineer in the CTG Data & Analytics platforms team at KPMG Australia involves designing, building, and optimising modern data platforms, with a focus on Microsoft Fabric. This position plays a critical role in developing Enterprise Data Platform ingestion frameworks and patterns to support advanced analytics and business intelligence. Responsibilities include ensuring scalability, security, and performance for various business unit use cases, as well as contributing to the creation of centralised data agents, API end points for Data objects in MS Fabric, to drive the firm's data strategy.
The key requirements for a Senior Data Engineer role in the context of designing and implementing end-to-end data solutions using Microsoft Fabric, while ensuring data quality, security, and governance, include:
Expertise in Data Platform build:
Proficiency in tools like MS Fabric/Databricks including OneLake, Delta Lakehouse architecture, Data Factory, PySpark, and Power BI to design and implement scalable data solutions.
Experience in building and optimising data ingestion pipelines for structured, semi-structured, and unstructured data.
Data Quality Assurance:
Develop and implement robust data validation and cleansing processes.
Use metadata-driven, reusable frameworks for data processing and orchestration.
Designed and Build Patterns for Entity resolution, Quality, Tagging to ensure accuracy and reliability.
Data Security:
Implement role-based access control (RBAC), encryption, and compliance with enterprise security standards.
Regularly audit and monitor access logs to detect and mitigate vulnerabilities.
Data Governance and Lineage:
Implement enterprise-wide governance policies, including data classification, ownership, and stewardship defined by Data Governance team.
Use tools like Microsoft Purview for managing and governing data assets.
Implement automated lineage tracking to ensure transparency and traceability of data flows.
Collaboration and Stakeholder Engagement:
Partner with business stakeholders, data analysts, reporting team and data scientists to deliver trusted datasets.
Foster a data-centric culture by training stakeholders on governance practises and the importance of data integrity.
Performance Optimisation:
Lead performance tuning and cost optimisation for Microsoft Fabric environments.
Design scalable architectures to handle growing data volumes and complex analytics use cases.
DevOps and Automation:
Drive the adoption of modern DevOps, CI/CD, and automation practises within data engineering workflows.
Mentorship and Leadership:
Mentor junior engineers and contribute to the data engineering community of practise.
These requirements ensure the delivery of secure, reliable, and scalable data solutions aligned with enterprise standards, enabling advanced analytics and business intelligence.
How are you extraordinary?
You enjoy working in the details, with a positive and proactive attitude towards accuracy and deadlines.
You get things done! You’re organised, efficient, and have a high attention to detail to deliver impactful outcomes.
You are passionate about the importance of fantastic communication to share ideas, inspire, and create change. You are able to digest, distill, and communicate complex concepts in both written and verbal forms.
Your Experience
At KPMG, we believe diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients, and communities. To be considered for this opportunity, your qualifications, skills & experience could include:
Proven experience (10+ years) in data engineering, cloud data platforms, and analytics solutions.
Hands-on expertise with Microsoft Fabric or Databricks, including OneLake, Lakehouse, Data Factory, Synapse, and Power BI integration.
Strong proficiency in SQL, PySpark, and data modeling (dimensional, lakehouse, and semantic models).
Experience implementing data governance, cataloging, and lineage frameworks.
Familiarity with metadata-driven frameworks and automation patterns.
Strong understanding of ETL/ELT, streaming, batch data pipelines, and API-based ingestion.
Solid grasp of data security, compliance, and access management.
Exposure to Azure ecosystem (Azure Data Lake, Databricks, Purview, Azure DevOps) is highly desirable.
Excellent problem-solving, communication, and stakeholder management skills.
Prior experience in large-scale enterprise data transformation programs
Experience working in Agile delivery models.
Qualifications
We are looking for applicants that have:
Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer Associate).
Additional Information
KPMG is a professional services firm with global outreach and deep sector experience. We work with clients across an array of industries to solve complex challenges, steer change and enable growth.
Our people are what make KPMG the thriving workplace that it is and what sets us apart is that we know great minds think differently. Collaborate with a team of passionate, highly skilled professionals who’ve got your back. You’ll build relationships with unique and diverse colleagues who will provide you with the support you need to be your best and produce meaningful and impactful work in an inclusive, equitable culture.
At KPMG, you’ll take control over how you work. We’re embracing a new way of working in many ways, from offering flexible hours and locations to generous paid parental leave and career breaks. Our people enjoy a variety of exciting perks, including retail discounts, health and wellbeing initiatives, learning and growth opportunities, salary packaging options and more.
Diverse candidates have diverse needs. During your recruitment journey, information will be provided about adjustment requests. If you require additional support before submitting your application, please contact the Talent Attraction Support Team.
At KPMG every career is different, and we look forward to seeing how you grow with us.
Your Opportunity
The role of Senior Data Engineer in the CTG Data & Analytics platforms team at KPMG Australia involves designing, building, and optimising modern data platforms, with a focus on Microsoft Fabric. This position plays a critical role in developing Enterprise Data Platform ingestion frameworks and patterns to support advanced analytics and business intelligence. Responsibilities include ensuring scalability, security, and performance for various business unit use cases, as well as contributing to the creation of centralised data agents, API end points for Data objects in MS Fabric, to drive the firm's data strategy.
The key requirements for a Senior Data Engineer role in the context of designing and implementing end-to-end data solutions using Microsoft Fabric, while ensuring data quality, security, and governance, include:
Expertise in Data Platform build:
Proficiency in tools like MS Fabric/Databricks including OneLake, Delta Lakehouse architecture, Data Factory, PySpark, and Power BI to design and implement scalable data solutions.
Experience in building and optimising data ingestion pipelines for structured, semi-structured, and unstructured data.
Data Quality Assurance:
Develop and implement robust data validation and cleansing processes.
Use metadata-driven, reusable frameworks for data processing and orchestration.
Designed and Build Patterns for Entity resolution, Quality, Tagging to ensure accuracy and reliability.
Data Security:
Implement role-based access control (RBAC), encryption, and compliance with enterprise security standards.
Regularly audit and monitor access logs to detect and mitigate vulnerabilities.
Data Governance and Lineage:
Implement enterprise-wide governance policies, including data classification, ownership, and stewardship defined by Data Governance team.
Use tools like Microsoft Purview for managing and governing data assets.
Implement automated lineage tracking to ensure transparency and traceability of data flows.
Collaboration and Stakeholder Engagement:
Partner with business stakeholders, data analysts, reporting team and data scientists to deliver trusted datasets.
Foster a data-centric culture by training stakeholders on governance practises and the importance of data integrity.
Performance Optimisation:
Lead performance tuning and cost optimisation for Microsoft Fabric environments.
Design scalable architectures to handle growing data volumes and complex analytics use cases.
DevOps and Automation:
Drive the adoption of modern DevOps, CI/CD, and automation practises within data engineering workflows.
Mentorship and Leadership:
Mentor junior engineers and contribute to the data engineering community of practise.
These requirements ensure the delivery of secure, reliable, and scalable data solutions aligned with enterprise standards, enabling advanced analytics and business intelligence.
How are you extraordinary?
You enjoy working in the details, with a positive and proactive attitude towards accuracy and deadlines.
You get things done! You’re organised, efficient, and have a high attention to detail to deliver impactful outcomes.
You are passionate about the importance of fantastic communication to share ideas, inspire, and create change. You are able to digest, distill, and communicate complex concepts in both written and verbal forms.
Your Experience
At KPMG, we believe diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients, and communities. To be considered for this opportunity, your qualifications, skills & experience could include:
Proven experience (10+ years) in data engineering, cloud data platforms, and analytics solutions.
Hands-on expertise with Microsoft Fabric or Databricks, including OneLake, Lakehouse, Data Factory, Synapse, and Power BI integration.
Strong proficiency in SQL, PySpark, and data modeling (dimensional, lakehouse, and semantic models).
Experience implementing data governance, cataloging, and lineage frameworks.
Familiarity with metadata-driven frameworks and automation patterns.
Strong understanding of ETL/ELT, streaming, batch data pipelines, and API-based ingestion.
Solid grasp of data security, compliance, and access management.
Exposure to Azure ecosystem (Azure Data Lake, Databricks, Purview, Azure DevOps) is highly desirable.
Excellent problem-solving, communication, and stakeholder management skills.
Prior experience in large-scale enterprise data transformation programs
Experience working in Agile delivery models.
Qualifications
We are looking for applicants that have:
Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer Associate).
Additional Information
KPMG is a professional services firm with global outreach and deep sector experience. We work with clients across an array of industries to solve complex challenges, steer change and enable growth.
Our people are what make KPMG the thriving workplace that it is and what sets us apart is that we know great minds think differently. Collaborate with a team of passionate, highly skilled professionals who’ve got your back. You’ll build relationships with unique and diverse colleagues who will provide you with the support you need to be your best and produce meaningful and impactful work in an inclusive, equitable culture.
At KPMG, you’ll take control over how you work. We’re embracing a new way of working in many ways, from offering flexible hours and locations to generous paid parental leave and career breaks. Our people enjoy a variety of exciting perks, including retail discounts, health and wellbeing initiatives, learning and growth opportunities, salary packaging options and more.
Diverse candidates have diverse needs. During your recruitment journey, information will be provided about adjustment requests. If you require additional support before submitting your application, please contact the Talent Attraction Support Team.
At KPMG every career is different, and we look forward to seeing how you grow with us.
💡 Quick Summary
Seeking a career-building opportunity? The Senior Data Engineer - Data & Analytics position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Melbourne offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
