Senior Azure Data Engineer
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Job description
As a Senior Azure Data Engineer, you will be engaged in a consultancy mission at a client site representing Keystone Solutions. You will leverage your IT expertise to create smart data solutions that make a real difference in the field of water purification, enhancing efficiency, ecological sustainability, and innovation. Your Team: In a world where data drives innovation, you will have a unique opportunity to contribute to a sustainable future. With a wealth of data-from wastewater analyses to energy consumption-you will play a key role in managing infrastructure and investments through innovative IT solutions. Your Role: As part of the Smart Data team, a cloud/edge-driven agile SAFe product team, you will collaborate openly with business stakeholders, analysts, and IT colleagues. Your enthusiasm will inspire others within the product team, and your work will have a direct impact on our core business, contributing to cleaner waterways and a sustainable environment. Your Responsibilities:
- Design, develop, and maintain data products to support reporting purposes via Power BI, collaborating closely with analysts and data stakeholders.
- Support operational integration purposes, expanding and maintaining integrations between various systems such as Rydoo, SAP S/4HANA, and IBM Maximo via Azure cloud.
- Promote and implement industry standards regarding software-oriented data design, incremental data flows, and data modeling.
- Analyze data with analysts and business stakeholders to gain insights into data structure and relationships.
- Actively contribute to the further digitalization and implementation of innovative technologies.
Requirements
- Strong collaboration skills across different departments.
- Ability to function within an agile SAFe planning framework, proactively managing changing priorities.
- Experience importing and processing data from ERP and asset management systems, particularly SAP S/4HANA and IBM Maximo, is a plus.
- Proficiency in Azure Cloud Data Platform.
- Languages: PySpark, Python, SQL.
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Technologies: Azure Databricks, Azure Data Factory, Azure Storage, Azure Key Vault, Azure DevOps, and more., If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today at . Duration: As soon as possible - 31/12/2026 5 months * (full time) Skills required:
- Azure Data Factory - Level: Advanced - Most recent: Any time
- Databricks - Level: Advanced - Most recent: Any time
- Python - Level: Expert - Most recent: Any time
- Spark - Level: Advanced - Most recent: Any time
Language requirements: Dutch Level Native or bilingual proficiency English
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