Maritime Data Systems Engineer

Seeking a Data Systems Engineer to build and optimize scalable data pipelines that fuel real-time insights for 630+ ships worldwide.

You'll engineer the systems that feed our NOVA analytics dashboards, ensuring our PARIS platform stays ahead in a data-driven industry.

• Data Systems Design
  • Create & maintain cloud-based data lakes, warehouses, and ETL/ELT pipelines that ingest, process, and deliver data from 630+ ships and external sources
  • Monitor cloud infrastructure performance, resolve bottlenecks, and ensure scalability/reliability for 24/7 maritime operations
  • Implement data quality checks, encryption, and compliance standards to protect sensitive maritime telemetry and operational data
  • Use tools like Airflow to streamline workflows and reduce manual intervention in pipeline maintenance
• Support Analytics & Troubleshoot Issues
  • Fuel AI/ML engines: Partner with Data Scientists to prep datasets for predictive models (e.g., fuel efficiency, preventative maintenance, etc.) and troubleshoot pipeline issues impacting their work
  • Solve data mysteries: Diagnose root causes of pipeline failures, data discrepancies, or MLOps hiccups—then implement fixes that prevent repeat headaches
  • Map the data terrain: Document source-to-target mappings, conduct data profiling, and clarify dependencies so analysts can self-serve without guesswork
  • Stay curious: Experiment with new tools and techniques to improve data quality, system performance, and pipeline resilience
• Collaboration & Learning
  • Work closely with onshore and offshore developers, IT Operations, and stakeholders across teams to deliver solutions that balance technical rigor with real-world usability
  • Communicate complex data concepts for non-technical audiences and ask questions to avoid ambiguity
  • Shadow senior engineers, participate in code reviews, and absorb best practices to level up your craft

Requirements:

• 3+ years' experience in a Data Engineering role using SQL, PySpark, and AirFlow
• Strong understanding of Data Lake and Data Warehouse design best practices and principles
• Practical hands-on experience in cloud-based data services for ETL/ELT covering AWS EC2, S3 Storage, and EMR
• Ability to manage and enhance infrastructure related to environments covering Spark, Hive, Presto
• Experience with databases such as Postgres, MySQL, Oracle
• Strong work ethic and ability to work independently on agreed goals
• Clear communication skills in English—both in speaking and writing

Competencies:

• Analysis & Problem Solving: Uses critical thinking to address problems. Able to perform root cause analysis on complex problems to identify underlying trends and put forward well-thought-out solutions
• Listening & Communication: Focuses on the individual they are communicating with. Writes and expresses thoughts clearly adjusting as necessary to the audience. Asks questions to clarify
• Collaboration, Inclusion & Teamwork: A good team player that is personable, friendly, polite, and takes the time to know people. Collaborates with onshore and offshore colleagues well
• Customer Focus: Understands the needs of the customer clarifying requirements and expectations. Adapts as necessary to changing requirements and is responsive, helpful with all requests
• Planning & Organising: Uses the supplied tools for structured project planning for optimal time use. Balances competing priorities. Promptly updates people when plans change and keeps them apprised of progress
• Initiative: Challenges existing ways of doing things. Looking for continuous improvement without being asked. Identifies ways to improve efficiency and effectiveness in own work and others in the team
• Accountability: Responsible for delivery of own work without unnecessary supervision. Always demonstrates integrity and ethical behavior being a role model for others