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- Tasks: Lead the design and implementation of scalable analytics data models for an Energy Intelligence Platform.
- Company: Join a forward-thinking company focused on innovative energy solutions.
- Benefits: Competitive daily rate, flexible remote work, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on data-driven culture and collaboration.
- Why this job: Shape the future of data practices and make a real impact in the energy sector.
- Qualifications: Expertise in dimensional data modelling, SQL, and strong communication skills.
Duration: Contract
Workload: Full time hours
Setup: Freelance (Daily rate / Limited Company / Umbrella / Sole Trader)
Location: Remote (UK‑based)
Overview
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.
Key Responsibilities
- 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.
- Partner closely with Product and senior stakeholders to translate business goals into clear, scalable technical solutions and shape the analytics roadmap.
- Champion a strong, data‑driven culture across cross‑functional teams.
Must‑Have Skills
- Mastery of dimensional data modelling and complex analytics engineering solutions.
- Expert‑level SQL with strong hands‑on experience using dbt.
- Proven ability to drive adoption of new standards, tools and patterns without direct authority.
- 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.
Nice‑to‑Have
- 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 Analytical Engineer in London employer: Airswift
Contact Detail:
Airswift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytical Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your best work in analytics engineering. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and scenarios related to data modelling and analytics. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Plus, it’s the best way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead Analytical Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Lead Analytical Engineer role. Highlight your experience with dimensional data modelling and analytics engineering solutions, as well as your SQL expertise. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Talk about your experience in driving adoption of new standards and your ability to communicate with both technical and non-technical audiences. We love a good story!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Share examples that demonstrate your mastery of analytics engineering and your understanding of the data lifecycle. We’re keen to see how you’ve tackled complex scenarios in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Airswift
✨Know Your Data Inside Out
As a Lead Analytical Engineer, you’ll need to demonstrate your mastery of dimensional data modelling and complex analytics solutions. Brush up on your SQL skills and be ready to discuss specific projects where you've implemented these techniques. Prepare examples that showcase your ability to design advanced data models and how they supported analytical scenarios.
✨Showcase Your Communication Skills
Exceptional communication is key for this role, especially when partnering with product and senior stakeholders. Practice explaining complex technical concepts in simple terms. Think about how you can convey your vision for data modelling and governance clearly, ensuring you can engage both technical and non-technical audiences effectively.
✨Demonstrate Your Leadership in Standards
You’ll be expected to drive the adoption of new standards and tools. Be prepared to discuss how you've previously enforced analytics engineering standards or led initiatives without direct authority. Share specific examples of how you’ve championed a data-driven culture and the impact it had on your team or organisation.
✨Prepare for Scenario-Based Questions
Expect questions that assess your end-to-end understanding of the data lifecycle. Think through potential scenarios where you might need to respond to GDPR incidents or implement data governance frameworks. Practising these scenarios will help you articulate your thought process and problem-solving skills during the interview.