Distinguished Data Engineer

At our esteemed organization, we are committed to pushing the boundaries of innovation and excellence. As a Data Engineer, you will play a pivotal role in shaping our data landscape and driving business success.

We are seeking a highly skilled and motivated individual to join our team as a Data Engineer. In this role, you will be responsible for designing, building, and maintaining large-scale data systems that drive insights and inform decision-making.

Your typical day will involve working on exciting projects that span across various areas, including:

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• Data Engineering">
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  • Create and maintain data highways: Develop and manage cloud-based data lakes, warehouses, and ETL/ELT pipelines that ingest, process, and deliver data from 630+ ships and external sources">
  • Keep systems shipshape: Monitor cloud infrastructure performance, resolve bottlenecks, and ensure scalability/reliability for 24/7 maritime operations">
  • Secure the cargo: Implement data quality checks, encryption, and compliance standards (GDPR, SOC2) to protect sensitive maritime telemetry and operational data">
  • Automate the mundane: Use tools like Airflow to streamline workflows and reduce manual intervention in pipeline maintenance">
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• Support Analytics & Troubleshoot Issues">
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  • 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">
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• Collaborate & Learn">
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  • Be the glue: Work closely with onshore and offshore developers, IT Operations, and stakeholders across Fleet to deliver solutions that balance technical rigor with real-world usability">
  • Communicate clearly: Break down complex data concepts for non-technical audiences (think ship captains, not just engineers) and ask questions to avoid ambiguity">
  • Learn by doing: Shadow senior engineers, participate in code reviews, and absorb best practices to level up your craft—no prior maritime experience required, but curiosity is a must.">
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Essential Skills and Qualifications:

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• 3+ years' experience in a Data Engineering role using SQL, PySpark and AirFlow">
• Strong understanding in 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">

Desirable Skills and Qualifications:

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• Deployment experience and management of MLOps framework, such as AWS SageMaker AI, ECR">
• Experience in other cloud platform and hybrid cloud infrastructure, e.g. GCP, Azure">
• Experience in the maritime industry">

Key Benefits:

You will have the opportunity to work on cutting-edge projects, collaborate with talented professionals, and develop your skills in a fast-paced environment. Our company culture values creativity, teamwork, and continuous learning, making it an ideal place for those who want to grow professionally and personally.

If you're a motivated and detail-oriented individual looking for a new challenge, please submit your application. We look forward to hearing from you