Data Engineer - Surveillance Technology at Glencore

 The ideal candidate will have:

• Bachelor’s degree in information systems, Computer Science, Engineering, or related field, or equivalent.

Essential Technical Skills required are:

• Strong Python, Pyspark, Synapse, DataBricks or similar.
• Experience in Azure/ Cloud, Azure Data Factory, App services, Azure functions.
• SQL .
• Data Pipelines, Big Data, Data architectures.
• CI/CD and associated tools.
• Test automation, PyTest.

Desirable skills and experience:

• Some understanding of operations or trading in the commodities context, in particular Oil, Gas, Shipping and related activities.
• Jenkins, Octopus, Git.
• DevOps; Docker.
• TDD and automation, Specflow, BDD.

Experience:

• 5-10 years’ experience in relevant/similar role.
• Good communicator, with good interpersonal skills and the ability to convey technical issues to all levels.
• Experience in Agile methodologies and in working in SCRUM, KANBAN or similar.
• Demonstrated ability to pick up new skills and business concepts quickly.
• Ability to accept change and adapt to organisational change and shifting priorities.
• High work standards with a quality orientation and good attention to detail.
• Working as part of a team whilst showing an ability to work on own initiative.
• Good problem solving and ability to think quickly under pressure.