Data Engineer for NATO

La Spezia - Italy

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Would you like to join the leading international intergovernmental organization

The Centre for Maritime Research and Experimentation (CMRE) is an established world-class scientific research and experimentation facility that organizes and conducts scientific research and technology development centred on the maritime domain. It delivers innovative and field-tested science and technology (S&T) solutions to address defence and security needs of the Alliance.

Responsibilities:

Design Develop test and maintain architectures such as databases and data platforms for large-scale data processing data pipelines ETL pipelines workflow systems etc.
Design develop and test data models and data services to manage data efficiently so that data can be easily accessed and processed by data scientists developers and other services exploiting the data as product paradigm.

Essential Qualifications & Experience:

A minimum requirement of a bachelors degree at a nationally recognised/certified University in an information systems physics or electronics related scientific or engineering discipline or other relevant scientific discipline and 2 years post-related experience.
A minimum of 3 years of professional experience in Python or other relevant languages for building and maintaining data pipelines and processing systems.
Knowledge of library for data manipulation such as NumPy SciPy Pandas xArray MatPlotLib etc.
Professional experience with database systems such as such as SQL Server Cassandra Azure Cosmos Db Redis PostgreSQL etc. schema design and query optimization and with Big Data Technologies such as Data Bricks Azure Machine Learning Spark or Kafka for processing large volumes of data efficiently.
Professional experience in data modelling with one or more of the major paradigms: object oriented entity-relationships Graph based etc.
Knowledge of data pipelines tools to automate AI/ML and ETL jobs such as Apache AirFlow or similar
Professional experience with Agile/Scrum methodologies Git workflows code review processes and collaboration tools (AzureDevOps JIRA GitHub GitLab etc.)
Understanding of cloud services and infrastructure provided by one or more major Cloud vendors including data storage and processing capabilities
Understanding of data security data protection aspects
Professional experience of implementing Findable Accessible Interoperable and Reusable (FAIR) principles in data management practices and understanding of Data Mesh architecture
Good level of spoken and written English

If youve read the description and feel this role is a great match wed love to hear from you! Click Apply for this job to be directed to a brief questionnaire. It should only take a few moments to complete and well be in touch promptly if your experience aligns with our needs.

Would you like to join the leading international intergovernmental organizationThe Centre for Maritime Research and Experimentation (CMRE) is an established world-class scientific research and experimentation facility that organizes and conducts scientific research and technology development centred...

Responsibilities:

Design Develop test and maintain architectures such as databases and data platforms for large-scale data processing data pipelines ETL pipelines workflow systems etc.
Design develop and test data models and data services to manage data efficiently so that data can be easily accessed and processed by data scientists developers and other services exploiting the data as product paradigm.

Essential Qualifications & Experience:

A minimum requirement of a bachelors degree at a nationally recognised/certified University in an information systems physics or electronics related scientific or engineering discipline or other relevant scientific discipline and 2 years post-related experience.
A minimum of 3 years of professional experience in Python or other relevant languages for building and maintaining data pipelines and processing systems.
Knowledge of library for data manipulation such as NumPy SciPy Pandas xArray MatPlotLib etc.
Professional experience with database systems such as such as SQL Server Cassandra Azure Cosmos Db Redis PostgreSQL etc. schema design and query optimization and with Big Data Technologies such as Data Bricks Azure Machine Learning Spark or Kafka for processing large volumes of data efficiently.
Professional experience in data modelling with one or more of the major paradigms: object oriented entity-relationships Graph based etc.
Knowledge of data pipelines tools to automate AI/ML and ETL jobs such as Apache AirFlow or similar
Professional experience with Agile/Scrum methodologies Git workflows code review processes and collaboration tools (AzureDevOps JIRA GitHub GitLab etc.)
Understanding of cloud services and infrastructure provided by one or more major Cloud vendors including data storage and processing capabilities
Understanding of data security data protection aspects
Professional experience of implementing Findable Accessible Interoperable and Reusable (FAIR) principles in data management practices and understanding of Data Mesh architecture
Good level of spoken and written English