We are looking for experienced and passionate people to join our Advanced Analytics Technical Projects. In that role, you will be deploying Big Data ecosystem powered by Microsoft Azure.

We offer the possibility of working with professionals in a multicultural environment. You will get practical experience in implementation of effective data processing architectures. We are offering the possibility to design, develop and maintain robust data pipelines.

What you will do

• Develop scalable, flexible data pipelines running on Azure
• Write complex, maintainable code in Spark (Scala)
• Designing data transformation processes using Databricks
• Develop high performing, reliable and scalable solutions.
• Getting familiar with complex calculations, performing data analysis from technical point of view.
• Proactively identifying and developing solutions within Product Requirements.
• Demonstrating innovative solutions and concepts to the team.
• Analysing and identifying gaps and areas for improvement.

About you

You are an experienced, passionate solutions builder, a roll-up-your-sleeves technologist that is motivated after finishing each development phase. You work independently and as part of a team to design and develop solutions. You want to play a significant role in a new cloud process. You have effective communication skills (both oral & written in English).

Qualifications

• Experience in working with Big Data pipelines
• Experience in Spark/ Scala
• Strong technical skills including understanding of software development principles
• Fluent English (both written and spoken).
• Developing experience in Python or R, or other languages (considered as a plus)
• Knowledge on Azure or other could platforms (considered as a plus)

About NielsenIQ

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.

NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class

All your information will be kept confidential according to EEO guidelines.

About NielsenIQ 

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.

NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.