Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.
For over 50 years our work has guided the decisions of the world’s most influential energy producers, utilities companies, financial institutions and governments.
Now, with the world’s energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That’s why we’ve redefined what’s possible with Intelligence Connected.
By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe.
This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence – whether planning days, weeks, months or decades ahead.
Wood Mackenzie
Intelligence Connected
Wood Mackenzie Values
- Inclusive – we succeed together
- Trusting – we choose to trust each other
- Customer committed – we put customers at the heart of our decisions
- Future Focused – we accelerate change
- Curious – we turn knowledge into action
Wood Mackenzie is an industry-leading data analytics company that provides analysis and insight on the world’s natural resources with a presence all around the globe. We’re working on a next generation data analysis & visualisation platform that enables our customers to drive billion-dollar decisions and accelerate the world's transition to a more sustainable tomorrow. We're looking for a Senior Software Engineer to join our team.
This role will be working within our AI group and focus on the research, development and delivery of Innovative AI solutions within our products. You'll collaborate closely with a cross-functional team of data scientists, software engineers, data engineers and product managers that deliver our product roadmap. You'll help design the solutions and ensure their technical success by making sure they are scaleable, robust and maintainable.
The successful candidate for this role must have a strong Software Engineering background and understand the challenges of delivering products with a commitment to incremental delivery. Proven experience of leading complex software engineering projects , and the ability to articulate ideas effectively across multiple business areas is essential.
As one of our Senior Engineers you will:
Work with our product team to understand the problems our customers face and design solutions to solve them
Break complex problems down into small iterations and lead others on their implementation
Write maintainable, testable, and optimised code – and help junior team members do the same
Build CI / CD pipelines to ensure the robust and repeatable deployment of our services
Collaborate with teams that want to use the data platform and identify feedback that will improve the platform
Ensure the high-quality implementation and delivery of our roadmap
Be supported to grow and develop your skills.
You're a great fit for this role if:
You've got experience building web services and working with AWS
You want to be part of a high performing team
You've had some exposure to agile ways of working, test driven development and paired programming
You understand that people build software and know the importance of communication and collaboration
Our tech stack
We use a wide variety of tools and technologies across our products, for this role we're looking for:.
Experience of service / application development using Python and experience of tooling within the Python ecosystem.
Experience in using cloud platforms like AWS, Google Cloud, or Azure for deploying scalable solutions
Understanding of software architecture patterns, microservices, distributed systems, and cloud-native design principles
Experience with continuous integration / continuous deployment (CI/CD) pipelines using tools like Jenkins or similar
Knowledge of data engineering principles and techniques.
Knowledge of data science techniques would be a plus
Here’s an idea of what you might typically encounter:
Our services are deployed to AWS, typically using Lambda, ECS and Kubernetes with CloudFormation and CDK for infrastructure configuration
Our web products are developed using TypeScript, React, and Redux
We have a shared component library implementing our design system
We implement GraphQL and RESTful APIs using NodeJS and Python
Our backend services are implemented in C# and .NET
DynamoDB, Redshift, Postgres, Elasticsearch, and S3 are our go to data stores
We run out ETL data pipelines using Python
"The salary range for this position is $125,000- $170,000, which represents base pay only and does not include short-term incentive compensation. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training."
Equal Opportunities
We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov
If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.