Kpler
Maritime
VesselDataManager
Neural analysis suggests this role is
optimal for Mid candidates.
“Vessel Data Manager at Kpler. Skills: SQL, Python, ETL processes, data visualization, statistical methodologies, leadership, team management. owning, scaling, and protecting the core baseline dataset. writing and optimizing high-scale data pipelines in SQL and Python”
What You'll Achieve.
Ensure our global shipping repository remains the most accurate and reliable in the world; Manage KPIs and OKRs
Industry & Context.
Analytical thinking and problem-solving
What They're Looking For.
Must Have
formally leading and managing a technical data team, Advanced, hands-on proficiency in SQL and Python, designing, optimizing, and maintaining ETL processes, working with APIs for data ingestion, utilizing web-scraping frameworks, Practical familiarity with data visualization and reporting tools, understanding of statistical methodologies to build automated data validation logic, Excellent communication skills with a track record of collaborating with cross-functional management, Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Maritime Studies or a related field
Nice to Have
Background from Maritime Industry and SaaS, Project management experience, Experience with Dataiku or similar data science and workflow automation platforms
What You'll Do.
and protecting the core baseline dataset
writing and optimizing high-scale data pipelines in SQL and Python
protect database integrity
Define and monitor team goals
maintain focus on priorities
Identify and integrate new datasets into our databases
Develop and test business logic
identify training needs
Implement automation solutions
integrate new data sources
maintain related platforms
Enhance proprietary data quality
keep the team aligned with company objectives
provide insights for improvement
support product development
How You'll Work.
Team & Collaboration
Collaborating closely with Data Product Managers and Engineering Managers; Collaborate with tech stakeholders for infrastructure needs; support commercial teams with data insights; Excellent communication skills with a track record of collaborating with cross-functional management; Effective communication and collaboration with cross-functional and external stakeholders
Communication Scope
Excellent communication skills; Effective communication and collaboration
Process & Methodology
Project management experience
Full Job Description
## Your future position Kpler’s Maritime Data unit is looking for a Vessel Data Manager with strong technical background. In this role, you will lead a dedicated team of 6 Data Analysts responsible for owning, scaling, and protecting the core baseline dataset that underpins the entire Kpler ecosystem. This is a crucial, horizontal position: your team’s data serves as the single source of truth powering production systems across both the Kpler Terminal and the MarineTraffic platform. You will spend your time equally divided between driving team roadmap delivery and actively contributing to writing and optimizing high-scale data pipelines in SQL and Python. Collaborating closely with Data Product Managers and Engineering Managers, you will protect database integrity and ensure our global shipping repository remains the most accurate and reliable in the world. Your mission is to: Define and monitor team goals, supervise activities, and maintain focus on priorities. Serve as the subject matter expert on Vessel Particulars & Companies business logic, rules, and datasets. Identify and integrate new datasets into our databases. Develop and test business logic, create dashboards, and curate datasets. Allocate resources, support team members, and identify training needs. Implement automation solutions, integrate new data sources, and maintain related platforms. Collaborate with tech stakeholders for infrastructure needs and support commercial teams with data insights. Enhance proprietary data quality and keep the team aligned with company objectives. Manage KPIs and OKRs, provide insights for improvement, and support product development. ## Experience & Background Essential: 3+ years of proven experience formally leading and managing a technical data team Advanced, hands-on proficiency in SQL and Python Proven experience designing, optimizing, and maintaining ETL processes, working with APIs for data ingestion, and utilizing web-scraping frameworks. Practical familiarity wit
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