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For Companies At a Glance
- Tasks: Transform data into insights that drive smarter decision-making and optimise performance.
- Company: Join a pioneering paints company dedicated to innovation and sustainability.
- Benefits: Competitive salary, market-leading benefits, and a collaborative work environment.
- Why this job: Make a real impact by turning data into actionable insights for a better tomorrow.
- Qualifications: Experience with data analysis tools and strong problem-solving skills required.
- Other info: Inclusive workplace committed to diversity and continuous improvement.
The predicted salary is between 28800 - 48000 £ per year.
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.
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.
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.
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.
Data Engineer in Altrincham employer: AkzoNobel
Contact Detail:
AkzoNobel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Altrincham
✨Tip Number 1
Network like a pro! Reach out to current employees at AkzoNobel on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Engineer role. Personal connections can give you an edge!
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss specific projects where you've turned data into actionable insights. Show us how your experience aligns with what AkzoNobel is looking for!
✨Tip Number 3
Don’t forget to showcase your problem-solving skills! Think of examples where you've tackled complex data challenges and how you approached them. This will demonstrate your ability to thrive in a fast-paced environment.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the AkzoNobel team. Let’s paint the future together!
We think you need these skills to ace Data Engineer in Altrincham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data analysis, visualisation tools, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your background aligns with our mission at AkzoNobel. Let us know what excites you about the role and our company.
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've turned data into actionable insights. We love seeing how you tackle challenges and contribute to smarter decision-making!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at AkzoNobel
✨Know Your Data Tools
Make sure you’re well-versed in the data analysis and visualisation tools mentioned in the job description, like SQL, Power BI, and Excel. Brush up on your skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've turned complex data into actionable insights. Think about specific challenges you've faced and how your analytical skills helped solve them. This will demonstrate your ability to think critically and provide value.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You’ll need to present findings to both technical and non-technical audiences, so being able to communicate effectively is key. Consider doing mock presentations to friends or family.
✨Emphasise Collaboration
Since the role involves working closely with stakeholders, be ready to discuss your experience in collaborative environments. Share examples of how you’ve worked with others to achieve common goals, especially in data-driven projects.
