Reto Matchmaking

Global Data Team

Descripción del puesto de trabajo

Due to the continued growth of the business and the importance of the data we use on a daily basis, we are currently looking for a for a data engineer to join our global Data team.


You will work closely with internal clients of the data team to support and maintain R and SQL database-based processes for gathering and cleansing data, calculating prices and producing the reports and data feeds. The work also involves writing robust automated processes in R.


Key Responsibilities


•   Support and development of data processing systems using R and SQL

•   Client support with queries relating to

•   integration of Argus data and metadata into client systems

•   data validation

•   provision of data

•   Data and systems support to Argus’ staff

•   Project development

•   Maintenance and development of existing systems

•   metadata modification

•   data cleansing

•   data checking


Información de interés

Required Skills and Experience


•   Significant recent experience of developing tools using R (and or Python), R Shiny in a commercial (work) environment.

•   Good knowledge and experience of SQL, preferably Oracle, including stored procedures, functions and triggers

•   Experience with version control systems (e.g., Git) and Unit Testing in R is required. 

•   Ability to work both as part of a team and autonomously

•   Excellent communication skills


Desired Skills and Experience


•   BS degree in Computer Science, Mathematics, Business, Engineering or related field. 

•   Experience in visualisation techniques is desirable.

•   Any experience working with energy markets and commodities data is highly desirable

•   Experience developing production-grade scalable applications in R.

Argus Media

Argus Media

III Sesión Matchmaking (Talento - Empresas)
Ciencia de Datos
Empleo

Vacantes

1 personas

Condiciones económicas

2.600 € / mes

Perfiles

  • Estudiante de último año de grado
  • Estudiante de Master
  • Estudiante FP Superior
  • Egresados

Experiencia

Entry Level

Formación técnica

SQL, R, PYTHON
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