Data Engineer

Location Malta
Discipline: Technology, Data Analytics & BI
Contact name: Daniel Genuis

Contact email: [email protected]
Job ref: 15410
Published: 17 days ago
Our client is currently on the lookout for a Data Engineer. The position  is part of the Business Intelligence function at our client’s head office. The Data Engineer collaborates closely with stakeholders across the company to design, develop and maintain our payments data warehouse and business intelligence solutions.

Description:
  • Acquire and maintain an in-depth understanding of the business logic embodied in our data solutions, its development infrastructure and project delivery process
  • Work in a multi-functional team to design and implement phases of product and technical initiatives, making effective data engineering decisions
  • Be accountable for quality code and a champion of best industry practices, keeping up to date with technological trends
  • Actively participate in guilds and community of practice teams and initiatives, shaping the technology roadmap • Eager to learn about new technologies and adapt to team dynamics
  • Ability to support the running of data solutions in a critical environment
  • Urge to learn about the dynamics of the payments eco-system
Requirements:
  • 2+ years of experience working in data or business intelligence environments
  • Well-rounded knowledge of cutting-edge technologies and data engineering practices and processes, up to date with the latest developments
  • Good knowledge of data warehouse design and concepts
  • Good knowledge of an object-oriented language such as Python, Java or Scala
  • Expert in SQL and experience with Database Management Systems such as Microsoft SQL Server and MySQL
  • Proficient in using a data integration tool such as Talend, Pentaho or SSIS
  • Experience using a data visualisation tool such as PowerBI, Tableau or QlikView
  • Experience of an analytics engine such as Apache Spark and ability to write applications using libraries such as DataFrames and Spark Streaming is desirable.
  • Knowledge of statistical computing language such as R+ will be considered an asset.