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.
Job Purpose
The Data Engineer is responsible for developing, maintaining, and leading the execution of Data ingestion, transformation, modelling for analytics solutions to improve performance.
It will be based in IT organization & reports to Team Lead GBS Reporting - Business Insights team
You will be partnering with different COE, business teams & also internal team to understand the requirements, collaborate with other Advanced Analytics team to ensure data availability. You will also be responsible for the delivering the required end-to-end Data solutions used for descriptive, diagnostic, predictive & prescriptive analytics within AkzoNobel.
Work with business partners / COE team leaders to gather, understand, and bridge definitions and requirements
Discuss & align with enterprise solution architects on design & implementations of Data solution Solution design & development: Develop new solution using Data transformation tools (SQL Mngt Studio, Alteryx, Azure Platform Data bricks, Data Factory)
Design, develop and maintain data pipelines to extract data from a variety of sources and populate data lake and data warehouse
Fetch and embed data from SAP HANA, BW, Azure SQL, Excel, flat files, Sharepoint list,Delta Lake,Databricks etc
Perform data transformation, Data modeling - [joints, exclusion, enrichment, pivoting, un-pivoting etc.]
Improve and maintain existing solutions: Suggest technical improvements / automation ideas for existing Data solutions Perform required changes and regular data load activities
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.
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.
Preferred skills
Skills in Data Factory, Azure, Databricks, R, Python, different types of ETL tools
Good to have skills
Skills with data visualization tools like Microsoft PowerBI,Tableau
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.