At a Glance
- Tasks: Lead the design and delivery of cutting-edge data engineering solutions.
- Company: Join Wood Mackenzie, a global leader in energy analytics and insights.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Make a real impact on the future of energy with innovative data solutions.
- Qualifications: Proven experience in data engineering and leadership skills.
The predicted salary is between 100000 - 150000 £ per year.
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.
Role Summary
The Vice President of Data Engineering is responsible for defining, building, and scaling a modern, enterprise-wide data engineering capability within a federated operating model. This role will lead the design and delivery of robust, secure, and high-performing data pipelines, with a strong focus on AWS-native architectures and Snowflake-based data warehousing. The VP of Data Engineering will establish best-in-class engineering practices, enabling domain-oriented data ownership while ensuring consistency through shared standards, governance, and platform capabilities.
VP Data Engineering | Edinburgh, UK employer: Wood Mackenzie
Contact Detail:
Wood Mackenzie Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP Data Engineering | Edinburgh, UK
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Wood Mackenzie. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data engineering, especially around AWS and Snowflake. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Mock interviews with friends or mentors can help you nail down your responses and boost your confidence. Focus on articulating how you can contribute to Wood Mackenzie's mission.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Wood Mackenzie team.
We think you need these skills to ace VP Data Engineering | Edinburgh, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the VP Data Engineering role. Highlight your expertise in AWS-native architectures and data engineering practices to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how you can contribute to our mission at Wood Mackenzie. Be genuine and let your personality come through.
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you've successfully built and scaled data pipelines or improved data governance in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Wood Mackenzie
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering knowledge, especially around AWS-native architectures and Snowflake. Be ready to discuss your experience with building data pipelines and how you've implemented best practices in previous roles.
✨Showcase Leadership Skills
As a VP, you'll need to demonstrate strong leadership capabilities. Prepare examples of how you've led teams, fostered collaboration, and driven change in your previous positions. Highlight your ability to build a culture of trust and inclusivity.
✨Understand the Company’s Vision
Familiarise yourself with Wood Mackenzie’s mission and values. Be prepared to discuss how your vision aligns with theirs, particularly around customer commitment and future-focused strategies. This shows you're not just looking for a job, but are genuinely interested in contributing to their goals.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about their current data challenges, how they envision the role evolving, or what success looks like in the first 90 days. This demonstrates your curiosity and strategic thinking.