Microsoft Data Platform Engineer

An attractive package including, among other things, an electric lease car or mobility budget, laptop, mobile phone, home office allowance, 25 vacation days with the option to purchase 5 extra days annually, and a good pension scheme.

Work where it works best for you: at the office, at the client, or from home.

Experienced colleagues will support you during your onboarding and further professional development.

A lot of responsibility, room for your own initiative, a steep learning curve, and extensive training and development opportunities.

A market-competitive salary with a performance-based bonus scheme.

Including, among other things, our annual ski trip, and opportunities for sabbaticals and workations.

Do you want to build the data foundations that enable AI, analytics, and digital transformation? Do you have a passion for modern data platforms, cloud technology, and helping organizations work truly data-driven?

Then we would love to meet you.

For the further growth of our Enterprise Microsoft Transformation (EMT) business in the Netherlands, we are looking for a talented Microsoft Data Platform Engineer. In this role, you will help clients design, build, and optimize modern Microsoft data platforms that form the foundation for analytics, reporting, AI, and future Agentic AI solutions.

Data forms the basis of every successful AI and analytics initiative. Organizations increasingly need scalable, secure, and high-quality data platforms that support advanced analytics, machine learning, and AI workloads.

As a Microsoft Data Platform Engineer, you are responsible for designing, building, and optimizing modern cloud-based data platforms. You will work together with architects, consultants, and client teams to realize AI-ready data environments using Microsoft technology.

This is a hands-on engineering role with a strong consulting component. You will help clients with complex technical challenges and guide them toward sustainable and scalable data platform architectures.

• Designing and realizing modern cloud-based data platforms on Microsoft Azure

• Developing scalable and reliable data architectures for analytics and AI applications

• Implementing best practices in the areas of security, governance, performance, and scalability

• Supporting clients in modernizing existing data environments

• Designing, building, and optimizing ETL and ELT processes

• Integrating structured and unstructured data from various sources

• Developing reliable processes for data ingestion and data transformation

• Ensuring data quality and platform performance

• Working with Microsoft Fabric, Azure Data Factory, Azure Data Lake, Azure SQL, Databricks, and Synapse Analytics

• Implementing modern data engineering patterns and platform standards

• Supporting organizations in leveraging the latest Microsoft Data & Analytics capabilities

• Building data platforms that support AI, Advanced Analytics, and Agentic AI solutions

• Creating reliable, managed, and easily discoverable enterprise data

• Collaborating with AI Architects and Data & AI Consultants within client programs

• Translating business challenges into technical solutions

• Advising clients on data platform strategies and architectural choices

• Collaborating with stakeholders throughout the entire project lifecycle

• Contributing to workshops, architecture sessions, and transformation programs

Building AI-ready data platforms based on Microsoft technology.

Designing and implementing custom AI solutions that utilize enterprise data.

Supporting organizations in transforming the way people work with Microsoft Copilot and Modern Work technologies.

At BearingPoint Netherlands, you will be part of a growing Microsoft team helping organizations build the next generation of data and AI platforms.

You will work together with data, AI, and Microsoft specialists from all over Europe and contribute to innovative Data & Analytics initiatives within EMT.

Because you are part of a growing practice, you will also have the opportunity to think along about the technical direction, develop propositions, and actively contribute to the further expansion of our Microsoft Data & Analytics practice.