About AkzoNobel

Since 1792, we’ve been supplying the innovative paints and coatings that help to color people’s lives and protect what matters most. Our world class portfolio of brands – including Dulux, International, Sikkens and Interpon – is trusted by customers around the globe. We’re active in more than 150 countries and use our expertise to sustain and enhance the fabric of everyday life. Because we believe every surface is an opportunity. It’s what you’d expect from a pioneering and long-established paints company that’s dedicated to providing sustainable solutions and preserving the best of what we have today – while creating an even better tomorrow. Let’s paint the future together.

 

For more information please visit www.akzonobel.com 

 

© 2024 Akzo Nobel N.V. All rights reserved.

Job Purpose

We are seeking a highly skilled Functional Engineer Reporting with deep experience in building scalable data solutions on the Azure cloud platform. The ideal candidate will have strong architecture-level knowledge, hands-on expertise with Databricks, and proven skills in optimizing large-scale data processing systems. This role will be critical in enabling data-driven decisions within our commercial operations.

Key Activities

• Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks.

• Define and implement data architecture and modeling strategies to support reporting, analytics, and advanced use cases.

• Build and manage data warehousing solutions on Azure.

• Apply optimization techniques to improve pipeline performance, reduce latency, and handle large data volumes efficiently.

• Integrate and transform data from SAP and other enterprise systems.

• Ensure alignment with data governance, quality, and security standards.

• Proactively troubleshoot and resolve data issues and performance bottlenecks. 

Experience

• 5-9 years of hands-on experience in data engineering.

• Deep knowledge and hands-on experience with Databricks for data processing and transformation.

• Strong architecture-level understanding of cloud-based data platforms and solution design.

• Proficiency in SQL and Python for data manipulation and automation.

• Experience integrating data from SAP systems.

• Strong grasp of performance tuning and optimization techniques for data pipelines.

Preferred Qualifications: 

• Experience with CI/CD and DevOps practices in data engineering.

• Familiarity with Big Data technologies (e.g., Hadoop, Spark).

• Exposure to Azure Streaming Services or real-time data processing.

• Understanding of commercial data and related business metrics 

At AkzoNobel we are highly committed to ensuring an inclusive and respectful workplace where all employees can be their best self. We strive to embrace diversity in a context of tolerance. Our talent acquisition process plays an integral part in this journey, as setting the foundations for a diverse environment. For this reason we train and educate on the implications of our Unconscious Bias in order for our TA and hiring managers to be mindful of them and take corrective actions when applicable. In our organization, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability.

Requisition ID: 48202