Job ref no.: CT3126125-01#0350

Data Engineer (Vendor; 45K)

Recruit Logic



  • Technical related degree and/or equivalent professional qualification.
  • At least 5 years of experience in data engineering and/or backend software development, leaving you with proven software development skills and a firm foundation in modern software engineering methods like version control, TDD and CI/CD.
  • Excellent programming skills in Python, Java and SQL.
  • Proven expertise in at least one cloud platform like Cloudera, AWS, and GCP.
  •  Solid know-how regarding data modelling, schemas, and API development, including REST or GraphQL.
  • Hands-on skills of data engineering tools and frameworks such as Hadoop, Spark, Kafka, Redshift, ELK, as well as relational and NoSQL databases. You can provide advice on tool selection.
  • Pratical knowledge of container technologies such as Openshift, Docker and Kubernetes.
  • Practical knowledge of handling varied types of data (text, tabular graph, time-series, geospatial, image etc.) and are familiar with concepts for storing and processing large and/or heterogeneous data volumes.
  • Familiar with business intelligence, data analytics and data visualisation frameworks. nYou have some experience with state-of-the-art data architectures, for example microservices, data lakes and  data marts, and managing interdependencies between cloud and on-premise applications.
  • Professional experience working in an agile development environment, preferably Scrum. n You have strong communication skills and like making decisions.
  •  Member of the interdisciplinary project teams. Your job will involve working closely with clients to analyse, design, develop and launch data-driven solutions and platforms that create and leverage business insights from distributed data  sources. You will use your analytical and innovative mindset to challenge conventional thinking.

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More job information
Job ref no. CT3126125-01#0350
  • 45,000 above / month
Job Function
Employment Term
  • Permanent
  • Full-time
  • 5 years - 10 years
Career Level
  • Non-management level
  • Degree