Data Engineer
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Job Location:
Utrecht - Netherlands
Monthly Salary:
EUR 3000 - 4000
Posted on:
9 days ago
Vacancies:
1 Vacancy
Job Summary
Tasks
Job title: Data Engineer Expert
Work location: BRUXELLES
Experience: at least 6 yrs of exp in data Analytics.
Work Mode Expectation: 50% on site & 50% WFH
Description
Mission context: A DATA Engineer is a key contributor in preparing and making data
available in a safe and secure manner for multiple usages by Businesses and
Functions and for multiple purposes reporting analytics and/or applications. He
contributes to potentially big productivity for all Data Consumers i.e. people
consuming or using the data - of the Businesses and Functions by delivering well
designed and running Data Assets to be used bank-wide and for global usage or within
a specific Business or Function for specific local needs and usages.
Function description
Your main objectives are:
To collect business requirements through various requirements techniques
To translate them into an efficient Data solution by designing data flows data
models and data stores/data sets mapping rules access mechanisms
To analyze the best golden sources of data and define the business and
technical rules on how to integrate them
To prototype the solution in order to support the business validation
To design and develop the logical and physical data models and data stores
and to industrialize the feeding and deliveries from the integrated data stores
(datawarehouse datamarts data sets).
To streamline these data pipelines across the enterprise for maximum usage
throughout the company or business/function
Language requirements:
Dutch: Fluent
French: Fluent
English: Fluent
Education: You have at least a Masters degree in a quantitative discipline such as
statistics mathematics or engineering.
Candidates with other academic backgrounds with substantial knowledge of analytics
are also encouraged to apply).
Certification: Certification in SAS EG SAP Tableau or related technologies are a
plus
Technical experience:
SAS EG SQL Oracle are mandatory
Python Power BI Excel Sharepoint Tableau are preferrable.
Business experience mandatory: Prior experience in banking and data
analytics project management
Preferable:
Soft skills Team player
Quick self-starter pro-active attitude
Good Communication and Influencing skills
Good analytical and synthesis skills
Autonomy commitment and perseverance
Ability to work in a dynamic and multi-cultural environment
Requirements
Job title: Data Engineer Expert
Work location: BRUXELLES
Experience: at least 6 yrs of exp in data Analytics.
Work Mode Expectation: 50% on site & 50% WFH
Description
Mission context: A DATA Engineer is a key contributor in preparing and making data
available in a safe and secure manner for multiple usages by Businesses and
Functions and for multiple purposes reporting analytics and/or applications. He
contributes to potentially big productivity for all Data Consumers i.e. people
consuming or using the data - of the Businesses and Functions by delivering well
designed and running Data Assets to be used bank-wide and for global usage or within
a specific Business or Function for specific local needs and usages.
Function description
Your main objectives are:
To collect business requirements through various requirements techniques
To translate them into an efficient Data solution by designing data flows data
models and data stores/data sets mapping rules access mechanisms
To analyze the best golden sources of data and define the business and
technical rules on how to integrate them
To prototype the solution in order to support the business validation
To design and develop the logical and physical data models and data stores
and to industrialize the feeding and deliveries from the integrated data stores
(datawarehouse datamarts data sets).
To streamline these data pipelines across the enterprise for maximum usage
throughout the company or business/function
Language requirements:
Dutch: Fluent
French: Fluent
English: Fluent
Education: You have at least a Masters degree in a quantitative discipline such as
statistics mathematics or engineering.
Candidates with other academic backgrounds with substantial knowledge of analytics
are also encouraged to apply).
Certification: Certification in SAS EG SAP Tableau or related technologies are a
plus
Technical experience:
SAS EG SQL Oracle are mandatory
Python Power BI Excel Sharepoint Tableau are preferrable.
Business experience mandatory: Prior experience in banking and data
analytics project management
Preferable:
Soft skills Team player
Quick self-starter pro-active attitude
Good Communication and Influencing skills
Good analytical and synthesis skills
Autonomy commitment and perseverance
Ability to work in a dynamic and multi-cultural environment
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
