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Languages like: SQL | NoSQL, Python, R, JavaScript data discovery and data structures Knowledge of Frameworks such as: AWS, AZURE, Dimensional Data Modelling, Star Schemas, Data Marts and Data Vaults
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software components for student-facing applications using Python, C# and Angular, adhering to established architecture, coding standards, and design patterns. Collaborate with internal development and
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, as well as: A PhD degree in the field of renewable energy engineering (or close to obtaining one), or in a closely related field. Demonstrable experience in Python and relevant modelling tools, like
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Master’s degree, if applying for the Research Associate rank. A strong background in mathematics and programming (e.g., Python or MATLAB). A strong publication track record. Excellent analytical and research
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Snowflake, Databricks, dbt, and Azure/AWS cloud services, including CI/CD-enabled pipelines strong skills in SQL and Python, with a sound understanding of data modelling, ELT/ETL processes, and data
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deliver innovative courses that connect theory with real-world application. Expertise in data science tools and programming languages (e.g., Python, R, SQL, or equivalent). Strong quantitative and
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related discipline. You will also have: Proficiency in Python and/or C#, An alignment with our organisation's values and culture, promoting a positive and inclusive work environment. Experience building
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environment. You are comfortable working both independently and collaboratively, with strong communication skills and attention to detail. You will also have the following: Competency in Python programming and
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of GIS tools and multidimensional data formats • Strong Python, R, or shell scripting skills What we offer Varied, challenging and important work with talented colleagues in an organisation devoted
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Science, Data Science, or a related field Experience in viticulture/agronomy and field trial work Strong data analysis skills using Python and R Proven ability to work with complex datasets and modelling