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ID:  97001
Location: 

Marseille, FR

Data Engineer - Sales, Finance, Pricing Solutions

 

CMA CGM Group, founded by Jacques R. Saadé, is a leading worldwide shipping & logistics group.

Now headed by Rodolphe Saadé, CMA CGM reinvents transport and logistics in order to offer an integrated maritime, port and land service that exceeds its customers' expectations. 

Present in over 160 countries through 755 offices, 750 warehouses, equipped with a young and diverse fleet of 511 vessels, CMA CGM serves 420 of the world's 521 commercial ports and operates on more then 200 shipping lines. The group currently employs 110,000 people worldwide, including nearly 2,400 in its headquarters in Marseille.

 

 

ROLE :

CMA CGM Group is one of the established industry leaders in maritime and logistics industry, competing amongst the top 4 for market dominance. We have aggressively expanded our footprint beyond container shipping into Logistics and now to Air-Cargo with a new division, to further expand the portfolio of services we provide to our customers. The company has aggressive plans to grow and modernize, and we are heavily leveraging Information Technology as an enabler to support it.

 

Sales, Finance, and Pricing Transformation are initiatives and key components in our journey to modernize our customer engagement experience. We are hiring dynamic and result-oriented individuals to join the team in our regional office in Singapore. We are looking for people who identify themselves with creativity, adaptability and a strong customer-oriented mindset.

 

 

RESPONSIBILITIES : 
Data management (50%)

  • Hands on work in definition of data collection & description/ processing methods; data exploration; data quality check; data selection; data cleaning; and data organization

  • Delivery of the Data engineering end to end cycle for building cutting-edge Data Science Solutions, covering the full lifecycle from inception to monitoring


Data Analysis (20%)

  • Hands on work of the data preparation phase (including features engineering) which covers all the activities required to build the final data set required for the data science modeling activities (the data that will be fed into the modeling tool) from the initial raw data


Business Acumen (30%)

  • Translating the business needs into viable delivery plans of the data engineering cycle and activities; Exchanges with business experts to confirm hypotheses

  • Understanding business needs and the operational data required for building Data Science solution

  • Staying updated on industry developments in the business domain for which the projects are undertaken

  • Cross-training and mentoring team-members on tools/techniques

  • Respecting and championing the principles of data security, integrity and availability

 


PROFILE AND QUALIFICATIONS : 

  • Bachelor’s or master’s degree, from a recognized University, with a specialization in Big Data, Information Management, Data Science, or in related disciplines

  • Preferably 5 years of relevant experience in Data Engineering activities, with strong skills in data preparation & features engineering

  • Proficient in Python / R programming / SQL / Spark

  • Business acumen and ability to engage the work within a business perspective

  • Excellent written and verbal fluency in English; and ability to communicate with both technical and non-technical audience


Nice to have :

  • Knowledge of commercial processes in the shipping / transportation / logistic industry

  • A good knowledge of CI/CD processes (Continuous Integration / Continuous Deployment), collaborative tools (Git) and Agile methodologies

  • Experience in the Dataiku data science platform

  • Experience in Big Data and / or Cloud (especially AWS)

  • Experience in Data visualization tools like Qlik Sense or similar

 

 

Come along on CMA CGM's adventure ! 

 

 

 

 

 

 

 

 

 

 

Apply now »