Data analytics engineer - DBR Groep

Are you passionate about building modern data platforms that enable smarter business decisions? Join a forward-thinking international logistics organization where data, innovation, and operational excellence go hand in hand. As a Data Analytics Engineer, you will play a pivotal role in shaping a newly established data ecosystem and strengthening a company-wide data-driven mindset.

This is a unique opportunity to contribute to a greenfield data environment, working with cutting-edge Microsoft technologies to create scalable and future-ready solutions.

As a Data Analytics Engineer, you will design and maintain robust data infrastructures that transform complex raw data into reliable insights. You will collaborate closely with business stakeholders, analysts, and IT colleagues to ensure data is accurate, accessible, and meaningful across the organization.

Rather than working purely behind the scenes, you will actively engage with operational teams to understand their challenges and translate them into practical, high-impact data solutions. You will contribute to architectural decisions and help guide the strategic evolution of the data platform.

Design and build scalable data pipelines using Azure Data Factory and/or Microsoft Fabric

Integrate and transform data from diverse structured and unstructured sources

Develop reliable data models and architectures to ensure performance and stability

Implement best practices in data security, governance, and compliance

Establish monitoring and performance tracking solutions for the data platform

Convert business requirements into technical data solutions and reporting structures

Document processes, standards, and architectural decisions

Share knowledge within the team and contribute to continuous improvement

Support the implementation of agentic AI solutions to enhance decision-making and operational efficiency

Actively contribute to strengthening the organization’s data culture

Minimum of 3 years’ experience in a data-focused role

Hands-on experience with Azure Data Factory and SQL-based transformations

Strong understanding of ETL processes, data modeling, and workflow automation

Experience with Python or PySpark alongside SQL

Knowledge of data governance, access management, and security standards

Familiarity with Microsoft Fabric and/or BI tools such as Power BI is advantageous

Strong analytical thinking and problem-solving abilities

Excellent communication skills and a collaborative mindset

A proactive attitude and eagerness to grow as a data professional

Gross monthly salary between €4,200 and €5,600 (based on experience, full-time)

Solid pension scheme with long-term career prospects

Hybrid working model supporting flexibility and teamwork

Opportunities for career development, both technical and leadership-focused

A workplace that prioritizes safety, sustainability, and quality

An international environment investing in digital innovation and professional growth

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