Senior Data Engineer

Company Description

Wood Mackenzie is the global leader in data, analysis and consulting across the energy, chemicals, metals, mining, power and renewables sectors.

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 – providing invaluable intelligence to help our customers overcome the toughest challenges, and make strategic decisions that will, ultimately, accelerate the world’s transition to a more sustainable future.

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Job Description

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. 

Key Responsibilities 

• Working as part of a scrum team on one or more projects within the Wood Mackenzie portfolio to ensure adherence to best practices 

• Build and contribute to the data architecture for new systems based on architectural blueprints with performance, scalability and maintenance in mind 

• Contribute to technology best practices and standards within the data space 

• Contribute to the resolution of any technical issues blocking progress 

• Promote a culture of shared code ownership, and actively participate in code reviews 

• Partner with different business stakeholders within Research, Product Management and Operations, working towards the delivery of strategic goals 

Qualifications

• Proven experience in at least one major language Python 

• Experience of automating data ingestion, cleansing and publishing 

• Proven experience of working with Relational and NoSQL Database systems 

• Proven experience of building scalable APIs to deliver both data and content 

• Understanding of continuous delivery and approaches to continuous integration 

• Strong knowledge of security and performance concerns 

Core Competencies 

• Excellent problem solving, and analysis skills coupled with great communication skills 

• Strong organization and planning skills, with the ability to manage multiple priorities simultaneously 

• A strong attention to detail 

• Commitment to excellence and meeting high quality standards expected by our clients 

• Experience in working in different delivery methodologies and an understanding of their benefits/constraints 

Additional Information

"WoodMackenzie is an equal opportunities employer.

We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran’s status, age or disability.

https://www.woodmac.com/careers/jobs/

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