Data Engineer - Growing Maritime Technology Business

About Pole Star:
As the leader in maritime intelligence, Pole Star empowers better decision-making and protects clients’ business interests, assets, seafarers, vessels, cargo, infrastructure, investments, profitability, and reputation - through provision of high-performance, cyber-secure solutions underpinned by immense service and constant technological innovation. We have offices in London, USA, Singapore, Hong Kong and Panama, alongside presence in Australia. Teams are made up of over 19 nationalities, speaking 25 different languages.

The Opportunity:
As a Data Engineer on the Pole Star Data Team, you will work directly with Software Engineering and Product teams to continuously improve our data infrastructure, design, tools and pipelines. This work will directly influence and drive organizational insights, customer-facing features and machine-learning models.

The ideal candidate will have strong database design skills, comfort with large data sets and an eagerness to invent. They will have a passion for data and analytics with the technical skills needed to build for scale and automation.

Responsibilities:

• Architecture design and implementation of next generation data update automation, multi-source publishing, analytics, and BI solutions
• Manage AWS resources including RDS, EMR, MWAA, Lambda etc.
• Monitoring platforms, especially AWS CloudWatch and Quicksight
• Build and deliver high quality data architecture and pipelines to support business analysts and data scientists
• Construct and maintain data collection scripts targeting identified sources and data types
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
• Familiarity with maritime data concepts and domain
• Collaborate with Data Analysts, Product Managers, Data Scientists and Software and Business Intelligence Engineers to design, plan and deliver on high priority data initiatives serving internal stakeholders and Pole Star customers.
• Continuously evaluate and improve our strategy, architecture, tooling and codebase to maximize performance, scalability and availability
• Build automated, fault tolerant and scalable data solutions leveraging state-of-the-art technologies including but not limited to Spark, EMR, Python, AirFlow, Glue and S3.

Required Skills:

• 5+ years of data engineering experience
• 3+ years of analyzing and interpreting data with SQL and NoSQL solution
• 3+ years of hands-on experience with big data framework and storage mechanisms such as Apache Spark, EMR, Glue, Data Lake, and BI tools like Tableau
• Experience with data modeling, warehousing and building ETL pipelines
• Experience programming with Python
• Experience working on and delivering end to end projects independently
• Experience working with LLM solutions (ChatGPT, Gemini, etc.)
• Experience with Geospatial and time series data (e.g. QGIS & ESRI)
• Working knowledge of data governance concepts (accuracy, completeness, timeliness)
• Knowledge of distributed systems as it pertains to data storage and computing
  

Education/Certifications:

• Bachelor’s degree in Computer Science, Software Engineering or Data Science or relevant work experience
• Certification relevant to job position such as AWS, GIS, Data Engineering

Employee Benefits:
Pole Star offers benefits that are designed to lead an evolving marketplace and
encourage a healthy balance between work and life. Highlights of those benefits are listed below:

• Medical insurance for employees and their dependents (Premiums are 100% covered by the Company)
• Dental and Vision insurance for employees and their dependents (Premiums are 50% covered by the Company)
• Life and Disability insurance, Company funded
• 20 days annual leave
• 5 days of Wellbeing leave
• Up to a 5% 401k matching
• Gym membership subsidy
• PTO for Volunteer Day
• Refer-a-friend recruitment bonus

*This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at the sole discretion of the Employer*