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For Companies At a Glance
- Tasks: Lead data engineering efforts and build robust data infrastructure for real-time decision-making.
- Company: Fast-scaling tech business with a focus on innovation and user experience.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Why this job: Shape the future of data engineering in a dynamic, engineering-driven environment.
- Qualifications: Experience in data engineering and strong leadership skills.
- Other info: Join a rapidly growing team backed by significant investment.
The predicted salary is between 110000 - 130000 ÂŁ per year.
This is an exciting opportunity to step into a high‑impact Lead Data Engineer role within a fast‑scaling, fully remote tech business. You’ll shape their data engineering function, lead technical direction, and build modern, robust data infrastructure that directly powers real‑time product and commercial decision‑making.
The Company
They are a next‑generation digital platform operating in a fast‑growing consumer market, backed by recent multi‑million Series C investment. Their product is built around best‑in‑class engineering, modern design, and a mission to deliver an intuitive, mobile‑first user experience. With strong year‑on‑year growth, they are now expanding their data function to support scale, performance, and product innovation. You’ll be joining an engineering‑driven environment where data is central to the product and where technical excellence is genuinely valued.
The Role
As Lead Data Engineer, you will act as both a hands‑on technical expert and a mentor to a growing team. You’ll drive engineering standards, own key architectural decisions, and deliver scalable, reliable pipelines and models. You will:
- Lead the technical strategy for data engineering across ingestion, modelling, orchestration, and automation.
- Build and maintain high‑quality ETL pipelines using modern tooling and cloud‑native infrastructure.
- Develop robust data models and frameworks to support analytics, reporting, and product teams.
- Champion best practices across testing, version control, monitoring, and CI/CD.
- Collaborate with engineering and data leadership to align technical decisions with broader business strategy.
- Mentor mid‑level and senior engineers, raising the bar on technical capability and engineering quality.
- Influence tooling choices and introduce new technologies to improve reliability and scalability.
Your Skills
Lead Data Engineer in Edinburgh employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Lead Data Engineer role. You never know who might have the inside scoop on an opportunity or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving ETL pipelines and cloud-native infrastructure. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've driven engineering standards and mentored others in previous roles. We want to see that you can lead a team effectively!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Data Engineer role. Highlight your experience in building ETL pipelines and any leadership roles you've had, as we want to see how you can shape our data engineering function.
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for data engineering. Share specific examples of how you've driven technical strategy or mentored others, and explain why you're excited about joining our fast-scaling team.
Showcase Your Technical Skills: In your application, don't shy away from detailing your technical expertise. Mention the modern tooling and cloud-native infrastructure you've worked with, as well as any best practices you've championed. We love seeing candidates who are hands-on and technically savvy!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows us you're keen to join our team!
How to prepare for a job interview at Harnham
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering principles, especially around ETL processes, data modelling, and cloud-native infrastructure. Be ready to discuss how you've applied these concepts in previous roles, as this will show your technical expertise and readiness for the Lead Data Engineer position.
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading a team, prepare examples of how you've successfully guided others in the past. Think about specific situations where you influenced technical decisions or improved team performance, as this will demonstrate your capability to lead in an engineering-driven environment.
✨Align with Their Vision
Research the company’s mission and recent developments, especially their focus on user experience and product innovation. Be prepared to discuss how your vision for data engineering aligns with theirs, and how you can contribute to their growth and success in the consumer market.
✨Prepare Questions That Matter
Craft insightful questions that reflect your understanding of the role and the company. Ask about their current data challenges, the tools they use, and how they envision the data engineering function evolving. This shows your genuine interest and helps you assess if the company is the right fit for you.
