Data Engineer, Data Analytics, BI, ETL/ELT, Hadoop etc, Bank, Brussels

BACKGROUND: You will join the Data Analytics team which is responsible for all Big Data and Analytics related matters throughout the bank and is in charge of collecting, analysing and reporting data in the context of Advanced Analytics.

TASKS: The Data Analytics team is looking for a new Data Engineer.
As a member of the Data Analytics team, you will be curious, collaborative and innovative which is the mindset of the team. The role of the data engineer is pivotal in extracting and providing data to the Data scientists who will transform a business question or gap into deliverables such as analytical tools, predictive models, etc. that will generate actionable insight for business users.

You must be flexible and manage multi-dimensional data sources and formats. As a Data Engineer at the bank, you work in close collaboration with Data Scientists and IT stakeholders. You will work under the supervision of the Senior Data Engineer. Your core objectives are to master data sources, extract data for analytical purposes and experiment new tools and technologies related to data extraction and exploration. Also, depending on your skills, you will be allocated some specific data science related activities including a full end-to-end business use case.

Extract and prepare data from corporate systems to initiate the analytical process;
Actively support data scientists in the data discovery and data preparation process;
Work under the supervision of a senior data engineer;
Design, build and launch new data ETL/ELT processes in production for pilot use cases selected for operational implementation;
Design, build, and test of Hadoop based applications for analysing datasets and making the results available to business users;
Process unstructured data into a form suitable for analysis, utilizing custom applications;
Prepare for Production, prototypes
Work with data infrastructure to sort/select/prioritise infrastructure issues and drive to resolution;
Perform advanced data analysis on a selection of business use cases, supported by data scientists.

ESSENTIAL SKILLS:

Able to extract, transform, compress and load data into HDFS;
Knowledge of different Hadoop file formats like parquet, ORC;
Broad base understanding of the Hadoop ecosystem;
Experience with high-level programming languages by preference Java, Scala, Python
Experience with Open Source big data technologies like Spark, Pig, Hive, HBase, Kafka, Storm;
Ability to write efficient SQL statements;
Able or eager to learn to write map-reduce
Experience with Linux Redhat and Linux Scripting;
Experience of data flows, data architecture, ETL/ELT and processing of structured and unstructured data;

NICE TO HAVE SKILLS:

Cloudera, IBM Mainframe, RDBMS;

Ability to analyse data and identify deliverables, gaps and inconsistencies;
Professional experience delivering scripts;
Knowledge of statistics, data mining, machine learning and predictive modelling, data visualization (JavaScript) and information discovery techniques considered a plus;
Knowledge of and experience with classic and new/emerging Business Intelligence methodologies.
LANGUAGE: English;

You must be an EU national to apply for this role.