BearingPoint

Data platform engineer for analytics

In short

BearingPoint Netherlands is hiring a Microsoft Data Platform Engineer to design, build and optimize cloud-based Microsoft data platforms (Fabric, Azure Data Factory, Azure Data Lake, Azure SQL, Databricks, Synapse) that underpin client analytics and AI solutions. The role is consulting-oriented, working with AI architects and data consultants across client programs, and requires 3–8 years of data/cloud engineering experience, strong SQL and Python skills, and fluency in both Dutch and English. It is a hybrid position based in Amsterdam.

About the Role
Would you like to build the data foundations that make AI, analytics and digital transformation possible? Are you passionate about modern data platforms, cloud technology and helping organizations become truly data-driven? Then we would love to meet you. For the continued 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 help clients design, build and optimize modern Microsoft data platforms that form the foundation for analytics, reporting, AI and future Agentic AI solutions.
Responsibilities
•Design and deliver modern cloud-based data platforms on Microsoft Azure
•Develop scalable and reliable data architectures for analytics and AI applications
•Implement best practices in security, governance, performance and scalability
•Support clients in modernizing existing data environments
•Design, build and optimize ETL and ELT processes
•Integrate structured and unstructured data from diverse sources
•Develop reliable data ingestion and data transformation processes
•Ensure data quality and platform performance
•Work with Microsoft Fabric, Azure Data Factory, Azure Data Lake, Azure SQL, Databricks and Synapse Analytics
•Implement modern data engineering patterns and platform standards
•Support organizations in leveraging the latest Microsoft Data & Analytics capabilities
•Build data platforms that support AI, Advanced Analytics and Agentic AI solutions
•Create reliable, governed and easily discoverable enterprise data
•Collaborate with AI Architects and Data & AI Consultants within client programs
•Translate business challenges into technical solutions
•Advise clients on data platform strategies and architectural choices
•Collaborate with stakeholders throughout the entire project lifecycle
•Contribute to workshops, architecture sessions and transformation programs
Requirements
•3 to 8 years of experience in data engineering, cloud engineering or data platform development
•Strong experience with SQL and Python
•Experience with Microsoft Fabric, Azure Data Factory, Azure Data Lake, Azure SQL, Databricks, Synapse Analytics or similar technologies
•Knowledge of modern data architecture concepts such as Data Vault, dimensional modeling or Medallion Architecture
•Experience with DevOps, CI/CD, testing, monitoring and automation
•Strong analytical and problem-solving skills
•Ability to communicate effectively with both technical and business stakeholders
•Good command of Dutch and English
Nice to Have
•Microsoft Fabric Analytics Engineer certification
•Azure Data Engineer Associate certification
•Experience in consulting or client-facing environments
What We Offer
At BearingPoint Netherlands, you will be part of a growing Microsoft team that helps organizations build the next generation of data and AI platforms. You will work with data, AI and Microsoft specialists from across Europe and contribute to innovative Data & Analytics initiatives within EMT. As part of a growing practice, you will also have the opportunity to help shape the technical direction, develop propositions and actively contribute to the further growth of our Microsoft Data & Analytics practice.
•Excellent employment benefits package, including an electric lease car or mobility budget, laptop, mobile phone, and work-from-home allowance
•25 vacation days with the option to buy 5 additional days each year
•A good pension plan
•Flexible working: work wherever works best for you — at the office, at the client or from home
•Experienced colleagues will support you during your onboarding and ongoing professional development
•Plenty of responsibility, room for initiative, a steep learning curve, and extensive training and development opportunities
•An open and entrepreneurial culture with short lines of communication
•Sustainability and social responsibility are part of the company's DNA
•A market-competitive salary with a performance-based bonus scheme
•A good work-life balance, including an annual ski trip and opportunities for sabbaticals and workations

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