JOB DESCRIPTION

We are currently seeking a Student Assistant – Data Engineering for our international and diverse Climate Policy Team (CPT). The team is engaged in various projects on climate change mitigation, in particular on energy system transformation, the 1.5°C global warming limit and the evaluation of national climate action. This includes flagship projects, such as the Climate Action Tracker and the National Pathways Explorer, for which data is being processed and analysed in-house and then published on the respective project websites.
As a Data Engineer you will play a critical role in designing, building and maintaining our data infrastructure, ensuring efficient and accurate data processing, storage and retrieval.

QUALIFICATIONS

You will ideally have the following qualifications and skills:

• You are completing a bachelor’s or master’s degree in computer science, ideally with a specialization in Data Engineering or DevOps, or a related field.
• You have gained initial experience (internship or academic project) as a Data Engineer.
• Foundational notions in data modelling, data structures, algorithms, design patterns, optimization.
• Proficiency in Python.
• Strong database and SQL programming skills.
• A problem solver, a fixer, and a creative technologist. We believe coding is a talent and a passion, not just a skill.
• A strong communicator and a team player who can work efficiently with others, in a diverse, interdisciplinary and international team.
• Passionate about working at the intersection of Climate Science and Data Engineering (tell us about relevant projects you’ve worked on!).
• Organised, detail-oriented, and motivated self-starter.
• Interest in and proven ability to work independently and in a team.
• Good communication skills in English.

RELEVANT TECH SKILLS

Please note that this list is non exhaustive and that if you don’t have experience on some of those you should still apply.

Required:

• Python

ABOUT US

Climate Analytics is a global climate science and policy institute established in 2008 that delivers cutting-edge science, analysis and support to accelerate climate action and keep global warming below 1.5°C. Our international team is composed of roughly 140 staff. Half are based at our headquarters in Berlin, Germany, and the remainder work out of our five regional offices in Africa, Australia & Pacific, the Caribbean, South Asia and North America. Click here to find out more

• You will help to build and maintain a data platform for advanced analytics and climate modelling, spanning data science and data engineering work.
• Design and build data pipelines that are robust, modular, scalable, deployable, reproducible, and versioned to ingest, clean, filter, and optimize diverse datasets.
• Contribute to operational tasks related to scientific data processing and quality control.
• Collaborate with data scientists and researchers to define data processing requirements.
• Contribute to the standardization of production data workflows.
• Set up metrics to monitor usage of the Data Platform.
• Monitor, anticipate, and resolve operational or data quality issues in data pipelines. Ensure data reliability.