Data Engineer

2 weeks ago

Culham, United Kingdom UK Atomic Energy Authority Full time

Are you looking for an exciting opportunity to make a difference? Join our team and contribute to the future of fusion energy. As Data Engineer, you will play a central role within hardware/software development projects spanning the Authority’s programmes, helping to develop HPC (High Performance Computing) infrastructure towards ITER and the era of Big-Data and Exascale computation. This role has a bias towards High Throughput Computing (HTC) workflows and cloud-based computing in support of experiments (e.g. MAST-U).

Additional Responsibilities:

Collaborate with national and international partners across universities, research labs, and industrial organisations to deliver projects focused on data delivery, data object storage, and data-centric high-performance computing. Engage in approximately 3-4 projects annually, contributing to innovation and growth of UKAEA’s capabilities in this domain by leveraging external resources.
Work within a small, focused project team to innovate and develop crucial elements of CCFE’s data infrastructure, particularly in cloud technology, supporting various UKAEA activities such as Tokamak Science, Technology & Engineering. Regularly report progress on sub-projects, internally and externally, including presentations at conferences and workshops internationally.

Essential Requirements:

Possession of a relevant scientific/engineering/computing degree or equivalent experience.
Demonstrated expertise in software lifecycle management, including proficiency in at least one high-level programming language.
Experience in developing and supporting large-scale applications across the software lifecycle.
Familiarity with coding, testing, and documenting best practices, including version control systems like Git.
Desirable Requirements:

Proficiency in one or more of the following programming languages: Python, Matlab, C++, Julia.
Established network within the EU Fusion programme and connections to international HPC communities, showcasing contributions made to the field.
Experience in workflow management systems such as Apache Airflow.
Familiarity with Research Data Management methodologies, modern database technologies including SQL, NoSQL and Graph Databases, and parallel file access technologies such as MPI-IO.

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