Company Description
Wood Mackenzie are the global research, analytics, and consultancy business powering the natural resources industry. For 50 years, we have been providing the quality data, analytics, and insights our customers rely on to inspire their decision making.
Our dedicated oil, gas & LNG, power & renewables, chemicals, metals & mining sector teams are located around the world and deliver a variety of projects based on our assessment and valuation of thousands of individual assets, companies, and economic indicators such as market supply, demand, and price trends.
We have over 1,900 employees in 30 locations, serving customers in nearly 80 countries. Together, we inspire and innovate the markets we serve \xe2\x80\x93 providing invaluable intelligence to help our customers overcome the toughest challenges, and make strategic decisions that will, ultimately, accelerate the world\xe2\x80\x99s transition to a more sustainable future.
We are seeking a Data Engineer to contribute to our technology strategy in order to deliver the best possible software for our customers. The successful candidate will have informed opinions on technologies, frameworks and approaches to delivery. They must be able to articulate their ideas effectively and strive to constantly improve deliverables. They will have worked in a data centric environment previously and understand the challenges of managing multiple streams of data and ensuring data integrity at all stages. An advocate of cloud technologies and approaches, they will work within an engineering scrum team, tasked with building a data platform to ingest, process and publish our data, both internally and externally. The ultimate objective of this team is to move from manual processes to fully automated data pipelines.
The successful candidate will be adept at quickly forming strong working relationships with colleagues within the technology and research functions, ensuring a high level of team morale.
Main Responsibilities
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