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Data Engineer

  • Location

    Malta

  • Sector:

    Fintech

  • Salary:

    Attractive

  • Contact:

    Veronique Amaira

  • Job Reference:

    7265

  • Published:

    21 days ago

  • Expiry:

    2020-11-30

  • Client Details:

    Castille

  • Consultant:

    Veronique Amaira

Exciting Opportunity to join a Fintech company based in Malta as a Data Engineer!   

Main Responsibilities: 

  • You will be collaborating closely with stakeholders across the company to design, develop and maintain the payments data warehouse and business intelligence solutions 
  • Assisting in engineering high-quality solutions to complex problems in the domain, helping to shape the future of our platform and constantly raise the bar 
  • Acquiring and maintaining an in-depth understanding of the business logic embodied in our data solutions, its development infrastructure and project delivery process 
  • You will be working in a multi-functional team to design and implement phases of product and technical initiatives, making effective data engineering decisions 
  • Actively participating in guilds and community of practice teams and initiatives, shaping the technology roadmap 
  • Ability to support the running of data solutions in a critical environment 

 Skills and Experience Required: 

  • Minimum of 2 working years 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 
  • 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