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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.
The predicted salary is between 60000 - 80000 ÂŁ per year.
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 Slough employer: Airswift
Contact Detail:
Airswift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytical Engineer in Slough
✨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 Lead Analytical Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your best work in dimensional data modelling and analytics engineering. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and dbt skills. Be ready to discuss your experience with data governance and how you've driven adoption of new standards in previous roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Lead Analytical Engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored 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 passionate about data practices and how you can help us scale our Energy Intelligence Platform. Be sure to mention any relevant projects or experiences that showcase your technical architecture skills.
Showcase Your Communication Skills: Since this role involves working with both technical and non-technical stakeholders, make sure to demonstrate your exceptional communication skills in your application. We love candidates who can bridge the gap between tech and business!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Don’t miss out on this opportunity!
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 translating technical concepts to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on how you partnered with product teams and senior stakeholders. This will help you illustrate your stakeholder management skills during the interview.
✨Demonstrate Your Vision for Data Governance
The job requires ownership of data modelling and governance strategies. Be prepared to discuss your understanding of GDPR and how you've handled data quality and governance in previous roles. Share your thoughts on best practices for maintaining data integrity and compliance, as this will show your long-term vision for data practices.
✨Prepare for Technical Challenges
Expect to face technical questions or challenges during the interview. Brush up on modern best practices in analytics engineering, CI/CD processes, and modular design. You might even be asked to solve a problem on the spot, so practice articulating your thought process clearly while tackling these challenges.