Description

Data Engineer (m/f) - Brussels
Human Profiler is a Human Resources Consulting company, specialized in IT Outsourcing and recruitment and selection of qualified profiles, acting with total flexibility and adaptation to the needs of our customers.

Our client is looking for a Data Engineer (m/f), for Brussels.

Main Tasks:
•Design and implement the data engineering solutions;
•Design and implement data modelling, interfaces definition, technical and functional documentation, etc.;
•Design, analyse, and implement Business Intelligence components such as: Data Warehouses, Data Lakes, Data Marts, ETLs, Reporting Tools, Analytics, Data Mining Tools, etc.;
•Design and implement data cleansing, data preparation or other type’s data processing solutions using the available tools (e.g. SAS, Oracle or other tools);
•Write code, debug, test and improve;
•Follow up, coordinate and facilitate all data manipulation activities and initiatives;
•Collect business requirements and interact with the business users;
•Provide support and training on data manipulation and processing to the different stakeholders;
•Draft and/or review technical requirements for a data analytics environment, both in terms of hardware and software and creation of functional architecture for a data analytics environment;
•Draft progress and technical reports.

Required Profile:

•Degree in Computer Engineering (or similar);
•Minimum 13 years of professional experience in similar position;
•Experience with Python and R;
•Experience with big data processing in following languages Python and/or R;
•Experience with the usage of the Python, R libraries dedicated for the data manipulation (e.g. NumPy, Pandas, Scikit-learn, Matplotlib);
•Experience with the Anaconda distribution of Python, R;
•Experience in the optimization and tuning of the visualisation tools (eg. SAS VA, Tableau);
•Expert knowledge of database programming & data modelling;
•Expert knowledge with Oracle database programming and administration;
•Experience with distributed data stores (Redi, Hadoop, ElasticSearch, Kafka);
•Expert knowledge on Data Warehousing techniques, designs and implementation;
•Experience in implementing projects with agile methodology;
•Good experience working on data-driven projects;
•Experience with Machine and Deep Learning in Python, R - plus;
•Knowledge and experience with the SAS tools - plus;
•SAS Certification plus;
•Experience with Atlassian tools (e.g. Jira, Confluence, BitBucket) - plus.
•Ability to draft functional, technical documents and reports;
•Excellent communication / writing skills;
•Fluent in English (Mandatory).

To respond to this job offer, please send us your CV with the reference DataEng_MM to the following email address: [email protected]