Microsoft Data Engineer

Our team has a strong focus on data and innovation recognizing their crucial role in our clients transformations. We are committed to expanding our team and services in these areas as they are key pillars for driving client success.

At the heart of our work lies innovation. While keeping pace with the latest Microsoft technology is fundamental we go beyond by harnessing KPMGs vast expertise across various industries functions and topics. We leverage this knowledge to innovate further creating solutions and accelerators that not only embrace technological advancements but also simplify and expedite our clients transformations. Were dedicated to more than technology implementation.

Our aim is to deeply understand our clients unique challenges and aspirations. By aligning Microsofts cutting-edge offerings with our industry insights we aim to provide solutions that drive tangible value and catalyze transformational change. Moreover were committed to pushing boundaries in areas such as Sustainability Artificial Intelligence and industry transformation. Were actively involved in initiatives that advance sustainability harness the potential of AI and drive transformative changes in industries like healthcare. Our focus is not just on implementing solutions but on spearheading innovation that makes a meaningful impact.

As a passionate and experienced Microsoft Data Engineer you will play a key role in delivering projects and deepening our technological knowledge of Microsoft Data Services. You will be responsible for hands-on development using Synapse Analytics Azure Data Lakes Microsoft Fabric Azure Databricks and other components to deliver innovative Microsoft solutions for our clients. You will utilize SQL and Python coding languages to support innovation and implement Microsoft data solutions at client sites. You will be specifically responsible for delivering Microsoft data solutions for our Microsoft One Data Platform and Powered Sustainability propositions and our Microsoft AI (Copilot Azure Open AI) accelerators on Microsoft which require integrations with all kinds of data sources.

Do you have any questions Lets start with an informal (digital) coffee chat with one of your future colleagues or our Recruiter. Looking forward to hearing from you soon.

Qualifications :

• Minimum of 5 years of hands-on experience in Microsoft Data Services with a focus on Synapse Analytics Azure Data Lakes Microsoft Fabric Azure Databricks etc. 
• Production level experience in Python and SQL. 
• Familiarity with big data technologies (e.g. Spark Hadoop). 
• Experience with Azure AI Foundry is preferred.
• Strong understanding of data engineering concepts and best practices within Microsoft technology. 
• Ability to work collaboratively in a team environment and communicate effectively with stakeholders. 
• English fluency required; Dutch preferred but not required

These requirements give a direction of the profile we are looking for for this position. Do you not meet all the requirements but think this is the position for you Then we kindly invite you to apply.

Additional Information :

• Competitive salary a bonus a fixed expense allowance and a working from home allowance.
• Pension accrual without a compulsory personal contribution.
• 30 vacation days (on a full-time basis) and the option to buy more days or sell your vacation days.
• A lease car NS business card or mobility allowance.
• A laptop and iPhone which also can be used privately.
• Choice to pick from different courses which contribute to your own personal and professional development.
• Diversity networks in the areas of pride gender ability cultural diversity and generations that regularly organize various activities to celebrate differences!
• Focus on well-being! There is a gym at the Amstelveen office or you can get a discount for a gym near your house and you get access to different health and/or vitality programs.
• Together is one of our core values. So you can count on different social activities like team events drinks with colleagues and events with all your KPMG colleagues.

Remote Work :

No

Employment Type :

Full-time