Data Engineer – Brussels

Introduction

We are currently searching for a Data Engineer to join us and provide for an interesting client within the EU Institutions In Brussels.

Organization

Belgium – International Organisations

Function

The candidate will be requested the support from a senior expert perspective on Data Engineering in order to:

  • 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, create, test and maintain data pipelines to support analytics projects;
  • Excellent Python and/or R Development skills (min 8 years);
  • Good experience working on data-driven projects;
  • 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;
  • Work in an agile/iterative way e.g. participate in drafting the backlog, user stories, definition of the sprints;
  • 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;
  • Experience in effort estimation required for execution of the requested activities;
  • Draft progress and technical reports;
  • Follow-up on IT delivery, including the activities of external contractors;
  • Signal risks and propose measures to mitigate those risks;
  • Coordinate the stakeholders e.g. business users, infrastructure team.

Requirements

The senior expert must have:

  • 3 years minimum experience with Python;
  • 3 years minimum experience with R;
  • Minimum 8 years of cumulative experience with big data processing in following languages Python and/or R (e.g. 3 years with Python, and 5 years with R);
  • 3 years minimum experience with the usage of the Python, R libraries dedicated for the data manipulation (e.g. NumPy, pandas, scikit-learn, Matplotlib);
  • Minimum 3 years’ experience with the Anaconda distribution of Python, R;
  • Expert knowledge of database programming & data modelling supported by a minimum experience of 5 years in this area;
  • Expert knowledge with Oracle database programming and administration supported by a minimum experience of 5 years in this area;
  • Minum 3 years’ experience with distributed data stores (e.g. Redis, Hadoop, Elasticsearch, Kafka, etc.);
  • Expert knowledge on Data Warehousing techniques, designs and implementation supported by a minimum experience of 5 years in this area. A Data Warehousing and Data Base programming certification shall be considered an asset;
  • Expert knowledge on identifying performance bottlenecks and performance tunning when working with big data, in the database and the non-database layer, supported by a minimum experience of 5 years in this area;
  • Experience in the optimalization and tuning of the visualisation tools (eg. SAS VA, Tableau) and code for better performance will be considered as additional asset;
  • Minimum 5 years’ experience in implementing projects in an agile way;
  • Minimum 3 years’ experience in estimating the hardware requirements needed to ensure the performance requirements of big data projects;
  • Minimum 3 years’ experience in gathering requirements from the business users, preparing test data and executing test cases interacting with the business users;
  • Minimum 3 years’ experience in working on projects involving a large number of stakeholders;
  • Ability to draft functional, technical documents and reports;
  • Ability to work fluently in English is mandatory.

As additional assets the senior expert could have:

  • Experience with Machine and Deep Learning in Python, R;
  • Experience with non-relational databases;
  • Knowledge and experience with the SAS tools e.g. SAS Enterprise Guide, SAS Visual Analytics, SAS Data Integration Studio supported by a minimum of 5 years’ experience in at least 3 SAS tools e.g. SAS Viya, SAS Enterprise Guide and SAS Visual Analytics.

The 5 years minimum experience shall be calculated for each of the tools and not cumulatively, but they could have been acquired simultaneously;

  • SAS programming language knowledge and experience in this area;
  • Any SAS certification;



Offer

Real career possibilities in a fascinating IT sector, a constantly growing dynamic company and a well-established international track record;

  • A strong learning and development program;
  • A challenging environment, where collaborative working and continuous self-improvement is the key to success;
  • A good work-life balance;
  • A competitive salary package (including meal vouchers, hospital insurances, pension insurance plan, etc.) and an open ended contract.


Information

Catalina Petre
[email protected]

Our values

We do not only have a set of value that guide our daily choices, but they are really embedded in our DNA. We call it WESTPOLE MENTALITY. Our culture respects individuality and growth for each employee, and if you join our family you will be in contact every day with our values, which represent the way we face our daily challenges.