Data Engineer for Electronic Navigation Charts

vor 2 Wochen


Hamburg, Hamburg, Deutschland SevenCs GmbH Vollzeit
Job Description

We are seeking a highly skilled Data Engineer to join our team at SevenCs GmbH. As a Data Engineer, you will play a key role in the creation, modification, and execution of data engineering processes for electronic navigation charts.

Responsibilities:
  • Create, modify, and execute data engineering processes for conversion and use of digital sources and related products (focus on data that is based on IHO product specifications S-57, S-101, etc.)
  • Responsible for digital data processing on ENC Servers, BOs, and timeliness of data release.
  • Use data engineering technologies such as FME, QGIS, Python, SQL, and others to transform and integrate data or build products.
  • Report of conversion issues, errors, and inability to release data to all relevant data providers and archive the results.
  • Process of test scenarios to ensure integrity and consistency of released data.
  • Optimization of coverages and data product portfolios.
  • Communications with Regional ENC Centres (RENC) and Customer Services.
  • Provide technical support to Customer Service, Sales, and Relation teams regarding e-chart data and technical publications.
Requirements:
  • PREFERRED university degree in computer science, geodesy, geography, hydrography, or a similar field.
  • Demonstrated experience with FME, QGIS or similar spatial tools.
  • Experience with programming and scripting and the ability to learn other tools and programming languages.
  • Understand the electronic navigation chart data structure and related standards (S-57, S-63, S-101).
  • Knowledge of relevant software of SevenCs (ENC Tools; ENC Server; ChartBrowser; eGlobe G2) is an advantage.
  • Punctual, very attentive, independent worker, able to work under time pressure.
  • Good speaking and writing skills in English.
What We Offer
  • A competitive salary: €60,000 - €80,000 per year, depending on experience.
  • 28 vacation days.
  • Access to in-house learning platform - Teledyne University.
  • Hybrid working model.


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