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  • As a data engineer for OceanSMART you will be working on building / maintaining data pipelines, acquiring data from our external suppliers, capturing both real-time data and static data. Making this data available to our development teams for being exposed through our Software as a Service solution. 

  • Our real-time and batch processing pipelines process a daily load of over 200 million messages and derive insights from billions of historical records. 


  • Design and maintain reliable, scalable, efficient data processing pipelines to process real-time data using Event driven approaches. 

  • Design, develop and maintain highly scalable Kafka Stream processing microservices using Java and Quarkus framework and deploy in Kubernetes

  • Use Apache Spark to process historical data (billions of records and terabytes in size) using Scala/Python and derive optimizations & insights 

  • Responsible for data modelling in RDBMS, NoSQL data stores like HBase/Mongo DB and Archive datastores on Azure Blobs or ADLS Gen2 datastores 

  • Monitoring/Alerting 

  • Identify opportunities and explore ways to enhance data infrastructure to improve data acquisition, data processing, and data visualization processes 

  • Collaborate with DevOps for data pipeline setup and configuration 

Personal Traits 

  • Being open-minded and curious 

  • Speak up when solutions are not ideal and communicate suggested solutions to cross-functional pairs. 

  • Ability to work independently because you are the first brick of the team, many opportunities but also many challenges. 

  • A true team player with great communication and interpersonal skills. 


Required Experience:

  • Bachelor’s or master's degree in computer science, Software Engineering, Information Technology, or a related technical field. 

  • 3+ years' experience as a Data Engineer or similar role. 

  • Understand the big picture 

  • Experience with big-data technologies such as Apache Kafka and Apache Spark. 

  • Experience with JVM languages (Java or Scala), Python. 

  • Good at multi-threading, atomic operations 

  • Computation framework: Spark (Azure Batch & Databricks) 

  • Databases: 

  • SQL: Postgres (Postgis), SQL server, TimescaleDB 

  • NoSQL: Hbase, Cassandra, MongoDB 

  • Object data stores: Azure Blob Store, different storage tiers 

  • Mapping: Geoserver 

  • Understand designs of resilience, fault-tolerance, high availability, and high scalability


  • Hand-on experiences on popular Data platforms such as Azure, Amazon or GCP with event driven, micro-service architecture for loosely coupled, highly scalable design. 

  • Experience in performance tuning/optimizing Big Data programs.

  • • Familiar with Scrum framework, Scrum with Kanban 



  • Great salary package. Annual performance review.

  • 13th-salary Bonus for all staff.

  • Premium Healthcare Insurance (2 sponsored packages): you and your spouse/child/parent.

  • Annual Health Check-up for all staff.

  • Annual Loyalty Award packages (3mil - 5mil - 10mil), 5-year Award, and 10-year Award.

  • Good career advancement opportunities.

  • Product-oriented. Agile project management style. Dynamic and English-speaking working environment.

  • Opportunity to acquire technical knowledge and experience in the latest technologies.

  • Up to 18 annual leaves a year PLUS 05 sponsored extra day.

  • Working hours: 8 hours x 5 days/week (Monday to Friday). Thirty-min break at 4 PM every day.

  • And so much more!​

​If this interest you, please contact us for a coffee. So we can share and learn more about you.

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