Data Engineer (ref 6184)

  • Full-time
  • 1-5 vagas
  • Expira em 24 dias
  • competitive
  • Full-time
  • 1-5 vagas
  • Expira em 24 dias
  • competitive
  • Malta
  • Outros Serviços, Developer TI

SpotOn Connections

SpotOn Connections Recruitment Solutions was created to focus on the Finance, Legal, Technical, and Multilingual sectors in Europe, delivering a premium recruitment service to all our clients and candidates alike. Due to popular demand for our consultancy, we have now branched into other industries. Our consultants come from a recruitment background, specialising in specific industries and services, thus allowing us a better understanding of our clients' needs. We provide a no risk service to our clients and an individually tailored service to suit our candidates.

O que procura nos candidatos

The Data Engineer role is part of the Business Intelligence function, collaborating closely with stakeholders across the company to design, develop and maintain our client’s payments data warehouse and business intelligence solutions. Data Engineers draw their expertise and experience to assist in engineering high-quality solutions to complex problems in the domain, helping to shape the future of our platform and constantly raise the bar.




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

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


Que funções irão desempenhar


Acquire and maintain an in-depth understanding of the business logic embodied in the 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.

Quais os benefícios oferecidos

to be discussed

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