Application Guide

How to Apply for Senior Software Engineer - Data Platform

at Wood Mackenzie

🏢 About Wood Mackenzie

Wood Mackenzie is a leading global provider of data and analytics for the energy, metals, and mining industries. With a mission to empower smart climate and energy decisions, the company offers a unique opportunity to work at the intersection of technology and sustainability. Remote-first culture and a focus on innovation make it an attractive place for engineers who want to make a real-world impact.

About This Role

As a Senior Software Engineer on the Data Platform team, you'll design and build the infrastructure that powers metadata management—critical for data discovery and governance. Your work will directly enable smarter energy decisions by ensuring data is accessible, reliable, and secure. This role combines deep technical challenges in Python, AWS, and microservices with the satisfaction of contributing to climate solutions.

💡 A Day in the Life

Start your day with a stand-up meeting to align with your team on metadata platform initiatives. You'll spend the morning coding in Python—perhaps building a new microservice for data lineage tracking. After lunch, you might review a colleague's pull request for a CI/CD pipeline improvement, then hop on a call with a data engineering team to discuss integrating their new data source into the metadata catalog. The day ends with monitoring dashboards and tweaking infrastructure as code.

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Interview Prep

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🎯 Who Wood Mackenzie Is Looking For

  • You have 5+ years of experience in Python, with a strong grasp of async programming and web frameworks (e.g., FastAPI, Django).
  • You're an AWS expert, particularly with services like Lambda, ECS, S3, and DynamoDB, and you write Infrastructure as Code using tools like Terraform or CDK.
  • You've built and operated microservices in production, with a focus on observability, scaling, and fault tolerance.
  • You're passionate about metadata management and data platforms, with experience in data cataloging tools or building similar systems.

📝 Tips for Applying to Wood Mackenzie

1

Tailor your resume to highlight specific AWS services you've used and any IaC experience (Terraform, CloudFormation). Use numbers to quantify impact (e.g., reduced deployment time by 30%).

2

In your cover letter, explicitly connect your past work to metadata management—mention any experience with data catalogs, lineage, or governance.

3

Since the job is remote, emphasize your experience with distributed team collaboration and async communication tools (Slack, Jira, etc.).

4

Showcase any open-source contributions or side projects related to data platforms or Python/AWS tooling.

5

Avoid generic phrases like 'team player'; instead, describe a specific cross-team collaboration that solved a complex problem.

✉️ What to Emphasize in Your Cover Letter

["Express genuine interest in climate/energy data and Wood Mackenzie's mission to drive smart decisions.", 'Highlight your expertise in building scalable data platforms and metadata systems, with concrete examples.', 'Demonstrate your proficiency with Python and AWS, especially in CI/CD and IaC contexts.', 'Mention your ability to mentor junior engineers and drive engineering best practices.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read Wood Mackenzie's latest reports or blog posts on energy transition to understand their data products.
  • → Familiarize yourself with their technology stack by checking their engineering blog or GitHub (if public).
  • → Look into their remote work culture and any tools they use for collaboration (e.g., Slack, Zoom, Confluence).
  • → Understand the competitive landscape: how does Wood Mackenzie differentiate from other energy data providers?

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Design a metadata ingestion pipeline for a new data source—discuss schema evolution, scalability, and error handling.
2 How would you implement a CI/CD pipeline for microservices on AWS? Walk through tools, stages, and security considerations.
3 Explain your experience with Infrastructure as Code. Give an example of a complex infrastructure you've managed.
4 Discuss a time you had to troubleshoot a production issue in a distributed system. What was your approach?
5 What are the key challenges in metadata management for a data platform, and how would you address them?
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⚠️ Common Mistakes to Avoid

  • Don't focus only on frontend or generic backend experience; this role is deeply data-platform and cloud-native.
  • Avoid vague claims like 'expert in AWS' without listing specific services or IaC tools.
  • Don't neglect to mention metadata or data governance experience—it's a core part of the role.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

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Good luck with your application to Wood Mackenzie!

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