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- Tasks: Lead the design and implementation of scalable analytics for a cutting-edge Energy Intelligence Platform.
- Company: Join a forward-thinking company focused on data-driven solutions in the energy sector.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
- Other info: Be part of a culture that champions innovation and collaboration across teams.
- Why this job: Make a real impact by shaping the future of data practices in a dynamic environment.
- Qualifications: Expertise in SQL, data modelling, and strong communication skills required.
The predicted salary is between 60000 - 80000 £ per year.
We need a Lead Analytics Engineer to define, scale and future-proof data practices for a complex Energy Intelligence Platform operating at real-time scale.
Responsibilities include:
- Act as the technical architect for scalable, reliable analytics data models built on modern best practices.
- Define and enforce analytics engineering standards across the data organisation, including CI/CD, testing and modular design.
- Design advanced dimensional data models to support highly complex analytical and operational scenarios.
- Own the long-term vision for data modelling, quality and governance, including GDPR incident response.
- Champion a strong, data-driven culture across cross-functional teams.
- Mastery of dimensional data modelling and complex analytics engineering solutions.
- Expert-level SQL with strong hands-on experience using dbt.
- Exceptional communication and stakeholder management skills across technical and non-technical audiences.
- Deep, end-to-end understanding of the data lifecycle from ingestion through to consumption.
- Ownership of organisation-wide data modelling or analytics engineering strategy.
- Experience designing and implementing data governance frameworks.
- Leading rapid proofs of concept for modern data tooling.
Lead Analytics Engineer (Remote) in City of London employer: Airswift
Contact Detail:
Airswift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Engineer (Remote) in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics and data engineering space. Attend meetups, webinars, or even virtual coffee chats. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work in data modelling and analytics engineering. Use platforms like GitHub to share your projects, especially those involving SQL and dbt. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex technical concepts in simple terms. Remember, you'll be working with both technical and non-technical teams, so being able to bridge that gap is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that Lead Analytics Engineer role!
We think you need these skills to ace Lead Analytics Engineer (Remote) in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in dimensional data modelling and analytics engineering. We want to see how your experience aligns with our needs, so don’t hold back on showcasing your SQL mastery and any hands-on work with dbt.
Tailor Your Application: Take a moment to customise your application for the Lead Analytics Engineer role. Use the job description as a guide to emphasise your relevant experience and how you can contribute to our Energy Intelligence Platform. We love seeing candidates who take the time to connect their skills to what we’re looking for!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your communication is easy to understand, especially when discussing complex topics like data governance and analytics standards.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Airswift
✨Know Your Data Inside Out
As a Lead Analytics Engineer, you’ll need to demonstrate your mastery of dimensional data modelling and analytics engineering solutions. Brush up on your SQL skills and be ready to discuss specific projects where you've designed advanced data models. Prepare to explain how you’ve tackled complex analytical scenarios in the past.
✨Showcase Your Technical Architecture Skills
Be prepared to talk about your experience as a technical architect. Highlight any instances where you've defined and enforced analytics engineering standards, including CI/CD practices. It’s crucial to convey how you ensure reliability and scalability in your data models, so have examples ready!
✨Communicate Like a Pro
Exceptional communication is key for this role. Practice explaining complex technical concepts in simple terms, as you’ll need to engage with both technical and non-technical stakeholders. Think of examples where you successfully communicated your ideas and how that impacted project outcomes.
✨Demonstrate Your Vision for Data Governance
The interviewers will want to see your long-term vision for data modelling, quality, and governance. Be ready to discuss your experience in designing and implementing data governance frameworks. Share your thoughts on GDPR compliance and how you would handle incident responses to show you’re proactive about data integrity.