Kpler

2 months ago

Vessel Data Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead a 6-person data analysis team owning the core baseline dataset powering Kpler Terminal and MarineTraffic. Drive roadmap delivery while hands-on optimizing high-scale SQL and Python data pipelines, ensuring data integrity, quality, and reliable insights for product, commercial, and stakeholders across maritime SaaS platforms.

Location: Greece

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•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

Pay and Benefits

Perks:Remote WorkHybrid WorkHealth Insurance

Key Requirements

•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 with data visualization and reporting tools (e.g., Tableau, Looker, Excel)
•A strong understanding of statistical methodologies to build automated data validation logic

Experience:3+ yearsMaritimeSaaS

Education:Bachelor's

Skills:SQLPythonETLAPIsWeb-scrapingTableauLookerExcelDataiku

Tech Stack:SQLPythonETLAPIsWeb-scrapingTableauLookerExcelDataiku

Company Brief

Kpler

Provides real-time commodity, shipping and trade intelligence combining satellite, AIS, customs and market data to deliver analytics for energy, dry bulk, petrochemicals, metals and agricultural markets, enabling trading, risk management and market transparency.

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Paris, France

Founded: 2014

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Kpler

2 months ago

Vessel Data Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Greece

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•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

Pay and Benefits

Perks:Remote WorkHybrid WorkHealth Insurance

Key Requirements

•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 with data visualization and reporting tools (e.g., Tableau, Looker, Excel)
•A strong understanding of statistical methodologies to build automated data validation logic

Experience:3+ yearsMaritimeSaaS

Education:Bachelor's

Skills:SQLPythonETLAPIsWeb-scrapingTableauLookerExcelDataiku

Tech Stack:SQLPythonETLAPIsWeb-scrapingTableauLookerExcelDataiku

Company Brief

Kpler

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Paris, France

Founded: 2014

Website LinkedIn