Job Description

Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours.

You provide software and application expertise and analysis to support implementation of the strategy and the solution.

How you will contribute

The senior engineer will be an expert in designing, implementing and optimizing Semantic Layer for business self-service consumption as well as project implementation. A successful candidate will be able to provide deep expertise and capacity to share his knowledge through training and awareness sessions to multiple audience.

What you will bring

10years experience in Consulting or IT leading implementation of data solutions

5+ years of experience around Semantic Layer, Data Models, KPI calculation.

Demonstrate prior experience leading complex data design with multi-dimensional models and custom aggregations

3+ years Power BI / Dax experience, GCP/Big Query data sources is a plus

Understanding of data structures and algorithms with a strong problem-solving skill

Experience solving Data Analysis Challenges such as Performances, References, Quality, integration, ...

GCP and/or Azure data solutions certification is a plus

Understanding of Machine Learning and Statistical forecast activity is a plus

Main Responsibilities

10years experience in Consulting or IT leading implementation of data solutions

5+ years of experience around Semantic Layer, Data Models, KPI calculation.

Demonstrate prior experience leading complex data design with multi-dimensional models and custom aggregations

3+ years Power BI / Dax experience, GCP/Big Query data sources is a plus

Understanding of data structures and algorithms with a strong problem-solving skill

Experience solving Data Analysis Challenges such as Performances, References, Quality, integration, ...

GCP and/or Azure data solutions certification is a plus

Understanding of Machine Learning and Statistical forecast activity is a plus

More about this role

The senior engineer will be an expert in designing, implementing and optimizing Semantic Layer for business self-service consumption as well as project implementation. A successful candidate will be able to provide deep expertise and capacity to share his knowledge through training and awareness sessions to multiple audience.

How you will contribute

You will work closely with all Mondelez D&A projects to guide, control and build efficient Data Solutions that are Self-Service ready:

Create / design templates and best practices related to Semantic, data modeling & Visualization

Train the trainer: You will be the lead Power BI & Semantic trainer

Consult & help project execution as the key point for expertise

Keep current & test innovation & new functionalities to validate them for production usage

Participate to the semantic & visualization Community of Practice success

Education / Certifications: Bachelors degree, Master in IT related field preferred

No Relocation support available

Business Unit Summary

Headquartered in Singapore, Mondelēz International’s Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Type

Regular

Software & Applications

Technology & Digital