Senior Data Engineer BI (ID: 3175)

Job description

Senior Data Engineer BI will:

Design, build, and maintain robust data infrastructure to process and make HR-related data available.
Support large IT migrations and ensure integrations are effectively transferred to a modern data foundation.
Intensively collaborate with IT engineers, project leaders, data analysts, HR specialists, and other stakeholders.
Translate complex HR and business questions into scalable and secure data solutions.
Optimize ETL processes, integrate new data sources, and ensure data quality.
Work with advanced technologies such as Azure, Snowflake, Azure Data Factory, DevOps pipelines, and more.
Built, managed, and documented data pipelines that guarantee reliable availability of dashboards, reports, and analyses.
Contribute to the professionalization of data architecture and responsible handling of sensitive information.
Actively collaborate within a self-managing team of developers and a product owner, with shared success at the center.

What you bring:

At least 5 years of experience as a Data Engineer or in a comparable role within ETL-, BI- or Data Warehouse-environments.
Strong expertise in data modeling (conceptual, object-oriented, and dimensional modeling).
Demonstrable experience with Snowflake and SNOW-SQL.
Knowledge of data integration, deployment automation, and version control.
Experience working in agile, multidisciplinary teams and the ability to communicate with both technical and non-technical stakeholders.
Excellent command of the Dutch language, both verbally and written.
A proactive and solution-oriented mindset with a passion for data-driven innovation.

You possess the skills to:

Prioritize and integrate new data sources, making them available within data marts.
Deliver robust data pipelines from source to end-user, focusing on performance and reliability.
Write well-tested, documented, and production-ready code with the right quality controls.
Bidirectional architecting and align solutions with best practices and guidelines.
Work effectively together, share knowledge, and support team members within a self-managing team.

What we offer:

Opportunities to work on impactful, large-scale data migration and integration projects.
A collaborative and knowledge-sharing environment with diverse professionals.
The possibility of developing innovative data solutions with the latest tools and technologies.
A culture of openness, reliability, and continuous improvement.
Professional growth, exposure to complex data challenges, and a meaningful contribution to strategic decision-making.

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