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Data Engineer

Date: 07-Jan-2022

Location: Shanghai, CN

Company: AkzoNobel

Job Purpose

You will contribute to exciting innovative business projects where value is realized through the use of data. An increasing community of data professionals is working on those projects and the Data Engineer will be part of that community. 

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.  

Key Accountabilities

  • Be responsible for the data pipelines supporting the landscape and strategic initiatives. 
  • Develop data pipelines between sources and targets.
  • Deploy storage and databases if required. 
  • Support the business initiatives in their data driven strategy. 
  • 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  and improvements of a global central data platform to leverage different types and sources of data.


Required skills
• Strong ETL and data extraction skills. 
• Strong Azure SQL, Data Factory and Storage 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.
• Proper English communication skills is a must 
• Strong interpersonal and time-management skill

Preferred skills 
• Skills in R, Python and different types of data processing,  
• Skills with data visualization tools like 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 
• Experience in a Data Engineer position or similar role is required.  
• Experience with industrial processes through experience or internships. 
• Work in an agile environment. 
Educational qualifications 
• Bachelor's Degree in Analytics, Computer Science, or related field 
Will Do 
• Motivated by solving complex data related  problems  
Fit Factors 
• Ability to work in the AkzoNobel corporate environment which comprises both traditional waterfall and agile way of workings. 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.