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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 dynamic team with a focus on modern data tooling and governance.
- Why this job: Make a real impact by shaping data practices and driving innovation in analytics.
- Qualifications: Expertise in SQL, data modelling, and strong communication skills required.
The predicted salary is between 60000 - 80000 ÂŁ 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.
- 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 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 in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a Lead Analytics Engineer role. You never know who might have the inside scoop on an opportunity or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work in analytics engineering. Include examples of data models you've designed, problems you've solved, and how you've championed data-driven cultures in past roles. This will help you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and dbt skills. Be ready to discuss your experience with dimensional data modelling and how you've implemented data governance frameworks. Practice explaining complex concepts in simple terms to impress both technical and non-technical interviewers.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and helps us get to know you better right from the start.
We think you need these skills to ace Lead Analytics Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Analytics Engineer role. Highlight your experience with data modelling, SQL, and any relevant projects that showcase your skills in analytics engineering. We want to see how you can contribute to our Energy Intelligence Platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your expertise aligns with our mission at StudySmarter. Don’t forget to mention your experience with CI/CD and data governance frameworks.
Showcase Your Communication Skills: Since this role involves working with both technical and non-technical teams, make sure to demonstrate your exceptional communication skills in your application. We love candidates who can bridge the gap between different audiences!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Airswift
✨Know Your Data Models Inside Out
As a Lead Analytics Engineer, you’ll need to demonstrate your mastery of dimensional data modelling. Brush up on your knowledge of advanced data models and be ready to discuss how you've implemented them in past projects. Prepare examples that showcase your ability to design scalable and reliable analytics solutions.
✨Showcase Your SQL Skills
Expert-level SQL is a must for this role. Make sure you can talk through complex queries you've written and how they’ve impacted your previous work. If possible, practice writing SQL queries on the spot, as you might be asked to solve a problem during the interview.
✨Communicate Like a Pro
Exceptional communication skills are key, especially when dealing with both technical and non-technical audiences. Prepare to explain complex concepts in simple terms. Think about how you’ve successfully communicated data insights to stakeholders in the past and be ready to share those stories.
✨Understand Data Governance and Compliance
With GDPR being a hot topic, make sure you’re well-versed in data governance frameworks. Be prepared to discuss how you’ve handled data quality and compliance issues in previous roles. Highlight any experience you have with incident response and how you’ve championed a data-driven culture within teams.