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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 daily rates, and opportunities for professional growth.
- Other info: Be part of a dynamic team that champions a data-driven culture across various functions.
- Why this job: Make a real impact by shaping data practices and driving innovation in analytics.
- Qualifications: Expertise in SQL, dimensional 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 employer: Airswift
Contact Detail:
Airswift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics and data engineering space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have a lead on that perfect role!
✨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 dealing with both technical and non-technical audiences, so being clear and concise is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting 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
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 vision 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 through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come directly from our site!
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, it’s crucial to show your understanding of 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 in your teams.