JOB DESCRIPTION
• Together with the CDO, will be responsible for the design and
government of the end-to-end data processes (ETL, ingestion, DDBB, ML)
• Leading a team of 4 to 10 data engineers and data scientist, and
collaborating directly with the areas of Technology, Strategy, Product
and Consultancy Services
• Able to manage project from a director position, but also capable to dive deep into details and code
LIST OF SKILLS
• More than 5 years plus more than 15 different projects in Data and
Analytics: Data acquisition, ETL, data model/architecture design and
deployment, advanced analytics, business integration
• You are a master in data analytics tools: SQL, SAS, Excel, Python
(Pandas, Sklearn, Pyspark), R, Tableau, ClickView, Power BI, AWS Big
Data environment, Google Dataproc environment, … - You are an Expert in
at least 4 of the previous languages/tools/environments
• You have participated in more than 15 data & analytics projects. Being in a senior project positions for at least 2 years
• You pay high attention to the detail. And you know what are the key points
• Msc education in Engineering, Mathematics, Physics, or similar
• Able to work in projects and problems not well defined/determined and/or highly dynamic
• Experience in: ETL, data modeling, data architecture (classical
and big data), machine learning, advanced analytics, business value of
data
• You know how to translate taking business requirements into project tasks. And how to successfully deploy the project
• You now hot to calculate a business case for any data monetization
project (monetary cost and value/ROI of a data task/project): including
hardware, people, time, software and business return, and KPIs of
success