Senior Data Engineer

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 – 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.

WoodMac.com

Wood Mackenzie brand video

Job Description

Data Engineers play a key role in our Data organisation, contributing to the creation of our enterprise data assets, processes and integration with our Data Platform. They develop pipelines and processes used to manage data in the Cloud using traditional ETL and RDBMS tools and/or contemporary tools like MAPR, Spark and Lambda. Architecturally they contribute to the conceptualization and design of data flows, platform interfaces, data models and complex modelling solutions.

• Development - Lead the development of pipelines and processes used to manage data on-premise and on the Cloud using traditional ETL and RDBMS tools and/or contemporary tools.
•  Data Modeling – contribute to new processes, programs, and procedures to help model structured and unstructured data
•  Architecture – contribute to conceptualization, design, and maintenance
•  Collaboration with cross-functional teams to provide necessary data and best practices to model applications
•  Mentoring – Develop experts in analytic specializations within the Verisk Analytic Community
•  Analytics Community – Enable development of the Verisk Analytics  Community by advancing Data Engineering as a discipline Software Engineering – Lead the development of complex modelling solution through by writing reusable, testable, and efficient code. Be passionate about secure, reliable and fast software using Rust.
•  Industry Research – Share and adopt technical innovations and new developments in relevant analytic fields

Qualifications

You will be a self-starter, energised by a challenge, passionate about bringing great products to market, and love the thrill of creating a new standard for what’s possible. You are a proven leader, able to organise and motivate a team to deliver tangible business benefits. You can adapt to new ways of working – and enjoy collaborating with a wide range of stakeholders. You will ideally have experience in working in the energy sector - preferably in power and renewables generation, power trading, or consulting. You will help design and implement new modelling / simulation algorithms in Rust or Python, and port legacy models into Rust. You will work on projects through their lifecycle, from their initial requirements, implementation and up to production in our dedicated Modelling environment.

Knowledge & experience

• Excellent programming skills, particularly in one or more of Python or Rust
• Demonstrated expertise in at least one analytic specialization
• Ability to solve problems analytically and creatively
• Proactive, self-driven mindset
• Effective communication (written and oral) skills
• Experience with SQL or NoSQL databases
• Knowledge of Linear Programming or a background in Operations Research would be desirable

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Additional Information

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

Founded in 1973, our success has always been underpinned by the simple principle of providing trusted research and advice that makes a difference to our customers. Today we have over 2,000 customers ranging from the largest global energy companies and financial institutions to governments as well as smaller market specialists.

Our teams are located around the world. This enables us to stay closely connected with customers and the markets and sectors we cover. Collectively this allows us to offer a compelling combination of global commodity analysis with detailed local market knowledge.

We are committed to supporting our people to grow and thrive. We value different perspectives and aspire to