Functional Data Engineer

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.

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2024 Akzo Nobel N.V. All rights reserved.

You will contribute to exiting innovative business projects where value is realized using data. An increasing community of data professionals is working on those projects and the Data Engineer will be part of that community. We offer flexibility in the location of choice to work from as we are a truly global organization. As Data Engineer you will have a level of autonomy in organizing your own work and as you will be working with different technologies, we provide opportunities to deepen and expand your knowledge by training, coaching and the variety of subjects to work on.

In this role as functional engineer data engineering, you will support multiple business initiatives around data. You will be responsible for setting up and maintaining the large amount of required data pipelines that support those experimental and explorative initiatives and advice on best practices and future data strategies. You will set up a monitoring model to guarantee agreed levels of data quality and track the metrics associated with. You will keep track of the latest developments related to data and you will advise senior management on steps to take to enhance the value of data in our organization. You will have an active role in further defining of our new cloud-based data platform.

• Are responsible for the data pipelines supporting the landscape and stack for experimentation and exploration.

• Develop data pipelines between sources and targets.

• Support the business initiatives in their data driven experiments and explorations.

• Set up a monitor model to monitor and maintain data pipelines and data transfer processes.

• Assist and execute in designing and developing effective data strategies.

• Oversee data related projects to extract, manage, and analyze data from multiple applications, ensuring that deadlines are met.

• Track key performance metrics on the managed data landscape across departments.

• Identify business opportunities and ensure internal customer satisfaction.

• Generate reports of findings and present these to management.

• Keep abreast of industry best practices and connect Insights from data to Solutions.

• Identify trends and opportunities for growth through analysis and usage of complex data sets.

• Participate in the development of a central data platform to leverage different types and sources of data.

Required skills

• Strong ETL and data extraction skills.

• Strong SQL and/or MySQL skills, ability to perform effective querying involving multiple tables and subqueries.

• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.

• Results-driven and ability to handle multiple projects.

• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data.

• Strong problem solving, quantitative and analytical abilities.

• Understands sensitivity and security questions around data.

• Able to act in a complex multinational environment.

• Good communication and presentation skills.

• Strong interpersonal and time-management skill

Preferred skills

• Skills in Data Factory, Azure, Databricks, R, Python, different types of ETL tools

• Skills with data visualization tools like Tibco Spotfire, Microsoft PowerBI

Relevant experience 

• Experience with Cloud concepts

• Experience with Microsoft Azure Cloud solutions

• Experience with data preparation tools: e.g. Alteryx, Azure Data Factory, Databricks

• Experience in a Data Engineer position or similar role is required.

• Work in an agile environment.

Educational qualifications

• Bachelor's / Master Degree in Analytics, Computer Science, or related field

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: 49341