Microsoft Data Platform Engineer

BearingPoint Netherlands•Amsterdam, MO

1d•Hybrid

About The Position

BearingPoint Nederland is seeking a Microsoft Data Platform Engineer to help grow its Enterprise Microsoft Transformation (EMT) practice. The role focuses on designing, building, and optimizing modern, cloud-based Microsoft data platforms that support analytics, reporting, machine learning, AI, and future Agentic AI solutions. It combines hands-on engineering with consulting, working with architects, consultants, customer teams, and stakeholders to address complex technical challenges and deliver sustainable, scalable, AI-ready data environments. The engineer will work with Microsoft technologies including Microsoft Fabric, Azure Data Factory, Azure Data Lake, Azure SQL, Databricks, and Synapse Analytics. The role also contributes to the growth and technical direction of BearingPoint’s Microsoft Data & Analytics practice, including developing propositions and collaborating with Microsoft specialists and colleagues across Europe. BearingPoint describes an open, entrepreneurial team culture and offers professional development, responsibility, and opportunities to contribute to innovative Data & Analytics initiatives. Work can be performed from the office, at client sites, or from home.

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 comparable 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 technical and business stakeholders.
Good command of Dutch and English.

Nice To Haves

Microsoft Fabric Analytics Engineer certification.
Azure Data Engineer Associate certification.
Experience in consulting or customer-facing environments.

Responsibilities

Design and build modern cloud-based data platforms on Microsoft Azure.
Develop scalable and reliable data architectures for analytics and AI applications.
Implement security, governance, performance, and scalability best practices.
Help customers modernize existing data environments.
Design, build, and optimize ETL and ELT processes.
Integrate structured and unstructured data from diverse sources.
Develop reliable data ingestion and 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.
Help organizations use Microsoft Data & Analytics capabilities.
Build data platforms that support AI, advanced analytics, and Agentic AI solutions.
Create reliable, governed, and discoverable enterprise data.
Collaborate with AI Architects and Data & AI Consultants on customer programs.
Translate business questions into technical solutions.
Advise customers on data-platform strategy and architecture choices.
Work with stakeholders throughout the project lifecycle.
Contribute to workshops, architecture sessions, and transformation programs.
Help shape the technical direction of the practice and develop propositions.

Benefits

Electric company car or mobility budget.
Laptop and mobile phone.
Work-from-home allowance.
25 vacation days, with the option to purchase 5 additional days annually.
Pension plan.
Experienced colleagues support onboarding and professional development.
Responsibility, room for initiative, a steep learning curve, and extensive training and development opportunities.
Performance-based bonus scheme.
Annual ski trip.
Sabbatical and workation opportunities.