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Data engineer

Altrincham
Permanent
AkzoNobel
Data engineer
Posted: 2 February
Offer description

About AkzoNobel

Since, 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 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.

© Akzo Nobel N.V. All rights reserved.

Data Engineer
Location: Altrincham, UK

Competitive salary plus market leading benefits package

We’re looking for a Data Engineer to play a pivotal role in transforming data into meaningful insight that drives smarter decision-making across the business. In this role, you’ll work closely with stakeholders to design, build, and deliver data solutions that help teams optimise performance and achieve their objectives.

At AkzoNobel, we’re proud of our heritage and our commitment to innovation and continuous improvement. You’ll join a collaborative, forward-thinking environment where data is central to how we operate and where your expertise will have a tangible impact.


What you’ll do:
• Collect, clean, and manage data from multiple sources to ensure accuracy, consistency, and reliability.
• Analyse large datasets to identify trends, patterns, and opportunities that support business decision-making.
• Build and maintain dashboards, reports, and visualisations that translate complex data into clear insight.
• Develop and test algorithms, models, and machine learning solutions to address complex business challenges.
• Work closely with business stakeholders and IT teams to understand requirements and embed data-driven insight into strategy.
• Present findings and recommendations clearly to both technical and non-technical audiences.
• Support data governance, privacy, and security standards across all reporting and analytics activity.
• Continuously improve data pipelines, reporting capabilities, and analytical approaches as business needs evolve.


What you bring:
• Strong experience working with data analysis and visualisation tools such as Excel, SQL, Power BI, and Visual Studio.
• A solid understanding of statistical analysis, modelling, and machine learning techniques.
• Experience working with databases and data management technologies.
• Strong problem-solving skills with the ability to turn data into actionable insight.
• Excellent communication skills, able to explain complex concepts clearly and confidently.
• Strong attention to detail and a commitment to data accuracy and quality.
• Ability to adapt and thrive in a fast-paced, evolving environment.


Who you are:
• Curious, analytical, and driven by uncovering insight from data.
• Confident working independently while collaborating closely with stakeholders.
• Comfortable managing ambiguity and translating unclear requirements into structured solutions.
• Proactive, organised, and motivated to continuously improve how data is used across the business.

Ready to turn data into insight that drives real business impact?

Apply now and help shape data-driven decision-making at AkzoNobel.

#LI-SH1

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.

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