Software Engineer II
Software Engineer II
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Job Description
Wood Mackenzie is the global data and analytics business for the renewables energy and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world companies and governments need reliable and actionable insight to lead the transition to a sustainable future. Thats why we cover the entire supply chain with unparalleled breadth and depth backed by over 50 years experience. Our team of over 2400 experts operating across 30 global locations are enabling customers decisions through real-time analytics consultancy events and thought leadership. Together we deliver the insight they need to separate risk from opportunity and make confident decisions when it matters most.
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
Job Description
We are looking for a Data Engineer who can leverage Python to build new data pipelines.
Your role will sit within an Agile team developing backend data pipelines and processes aligned to our data roadmap for delivering new features for Wood Mackenzies flagship product offering Lens.
You will work alongside other Data Engineers business SMEs product and data owners to ensure Wood Mackenzie delivers a world-class experience for its customers - helping them change the way we power our planet.
Main Responsibilities
As part of a team of Data Engineers youll take full responsibility for writing testing and delivering robust pipelines and processes that feed data into Wood Mackenzies Lens Platform. Using established patterns with Python AWS and a bespoke Data Platform youll be supported to deliver discrete pieces of work ranging from a few days to a few weeks.
We are particularly interested in candidates who bring experience or a strong interest in leveraging AI tools such as code generation anomaly detection or intelligent automation - to improve the efficiency quality and scalability of data pipelines and development workflows.
Once established in the role we expect you to make incremental improvements to our patterns and processes. Were looking for someone who has informed opinions on technologies frameworks and approaches to delivery. You must be able to articulate ideas effectively and strive to constantly improve deliverables.
Essential
- Demonstrable depth of knowledge working with Python
- Experience working with data e.g. Pandas SQL
- A proactive approach to continuous learning and improvement including the use of AI tools to support development tasks
- Mentoring from experienced colleagues and access to training courses will help you attain a high level of skill especially if your background is in other programming languages
- We actively encourage and support obtaining formal certification such as those offered by AWS
Desirable
- Experience with or a strong interest in applying AI/ML tools to enhance data engineering workflows (e.g. automated testing code optimization data quality monitoring or intelligent alerting)
- Some R experience and a willingness to help support a legacy R Shiny application is an advantage but not necessary
- Familiarity with tools such as GitHub Copilot AWS AI services or open-source LLMs for development support
Mentoring from experienced colleagues and access to training courses will help you attain a high level of skill especially for those who primarily have experience in other programming languages.
Its essential that youre able to take on the challenge of continuous learning and improvement. We actively encourage and support obtaining formal certification such as those offered by AWS.
Expectations
- Youll work directly with stakeholders often internationally so its essential that you can form a good working relationship with them understand what they want and keep them up to date with progress
- Excellent problem-solving and analysis skills coupled with great communication skills and strong attention to detail
- Commitment to excellence and meeting the high-quality standards expected by our clients
- Experience in working in different delivery methodologies and an understanding of their benefits/constraints
- We are a hybrid working company and the successful applicant will be expected to be physically present in the Edinburgh office at least 2 days per week to foster and contribute to a collaborative environment though this may be subject to change in the future
- Due to the global nature of the team a degree of flexible working will be required to accommodate different time zones
Leadership
- Contribute to a culture of product development where solving problems for our customers is the highest priority
- Communicate effectively across functions as required
Collaboration
- Work in collaboration with team members to perform scoping estimation and technology feasibility tasks for the intended solution
- Manage dependencies among engineering activities and constantly monitor assess and control the technical execution
- Address technical queries and elicit prioritise and negotiate changes to requirements and defects
- Contribute to system and data issue identification and resolution within teams across the organization
Quality
- Promote a culture of code quality and continuous improvement
- Drive the importance of data accuracy from internal and external sources
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
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.
Employment Type
Full-Time
