Senior Data Engineer (f/m/x)

LiveEO

Berlin

Vor Ort

EUR 60.000 - 80.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Flexible home office arrangement
Free fruits and drinks
Team events
Potential participation in employee stock option program

Zusammenfassung

A pioneering satellite analytics company in Berlin is seeking a Senior Data Engineer. In this role, you will automate individual steps of the data pipeline and contribute to ML model development. The ideal candidate has hands-on experience with Python and familiarity with cloud providers. Join a dynamic team that emphasizes collaboration, innovation, and a positive work environment with flexible arrangements.

Qualifikationen

  • Familiarity with cloud providers and workflow management engines.
  • Experience applying data architecture to solve real-world business problems.
  • Ability to explain complex technical concepts in clear language.

Aufgaben

  • Automate steps of the data pipeline and connect them.
  • Run and debug the delivery pipeline.
  • Contribute to the overall pipeline system architecture.

Kenntnisse

Cloud providers (AWS is a big plus)
Workflow management engines (e.g. Prefect, Airflow)
Hands-on experience with Python
Data architecture (e.g. ELT/ETL)
Geospatial data processing
Clear communication of technical concepts
Collaboration and teamwork skills

Jobbeschreibung

Get AI-powered advice on this job and more exclusive features.

Build the Market Leader in Satellite Analytics with us at LiveEO

At LiveEO, we combine Space Technology with AI to solve problems here on Earth. Our satellite-based monitoring solutions help Infrastructure operators and industrial companies to make their operations more ecological, safer, and more efficient.

LiveEO is applying the latest developments in artificial intelligence to analyse satellite data and is bringing the insights of earth observation data to customers in the enterprise sector.

As a Senior Data Engineer you will contribute to the development and execution of our data pipeline, from satellite data acquisition, to change detection (manual and ML-based) to insight generation, clustering and publication in our App. Automation is at the core of this role as we are in a phase of scaling up operations. Until full automation is achieved, it is also necessary to execute the delivery process, a task shared between all squad members.

  • Automate individual steps (components) of the data pipeline and connect them with the overall system;
  • Run the delivery pipeline during defined periods of responsibility;
  • Debug issues reported during execution of the pipeline;
  • Contribute to the overall pipeline system architecture;
  • Contribute to the ML model development process by providing feedback on model performance;
  • Work with data labelers on label management and labeling guidelines.

Your profile

  • Familiarity with cloud providers (AWS is a big plus);
  • Familiarity with workflow management engines (e.g. Prefect, Airflow etc);
  • Hands-on experience with Python;
  • Experience applying data architecture (e.g. ELT/ETL, data lakes, metadata management, etc.) to solve real-world business problems;
  • Experience geospatial data processing is a plus;
  • Ability to explain complex technical concepts in clear, accessible language;
  • High collaboration and teamwork skills, empathy and approachability.
  • The opportunity to help create a product that can improve business processes and lives across the globe;
  • Front row seat in the development of a multinational market leader in a new industry;
  • Flat hierarchies as well as short and open communication;
  • A very positive company culture with a strong focus on team spirit, passion, and fun;
  • A high degree of freedom and responsibility;
  • Fair compensation, potential participation in the employee stock option program;
  • Office located in the center of Berlin Kreuzberg, free fruits and drinks;
  • Flexible home office arrangement and working hours;
  • International team and frequent team events.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Software Development

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