At a Glance
- Tasks: Lead the design and delivery of innovative data platforms and analytics solutions.
- Company: Boutique consulting firm focused on digital transformation in data and technology.
- Benefits: Competitive salary, strong work-life balance, and opportunities for professional growth.
- Other info: Join a dynamic team with a modern tech stack and a focus on AI-driven features.
- Why this job: Make a real impact in a greenfield environment while leading a talented team.
- Qualifications: Experience as a Data Engineer with skills in SQL, Python, and cloud technologies.
The predicted salary is between 75000 - 90000 £ per year.
Make your application after reading the following skill and qualification requirements for this position.
UK Remote | £75,000 to £90,000
This is a rare opportunity to step into a Lead Data Engineer role within a growing, boutique consulting environment where greenfield delivery and real ownership are central to the work. You will combine hands on technical contribution with people leadership, shaping modern data platforms and processes for mid market organisations undergoing genuine digital transformation.
The Company
They are a specialist consulting firm focused on digital transformation across data, analytics and technology. Operating as a hands on delivery partner, they embed consultants directly into client squads to modernise data platforms and ways of working from the ground up. Their work spans end to end delivery, selling professional services rather than software products, with a strong emphasis on quality, autonomy and work life balance.
The Role
- Lead the design and delivery of greenfield data platforms and analytics solutions across the full data lifecycle
- Balance hands on technical work with leadership responsibilities, spending time both building and guiding
- Manage and support a team of data engineers, providing direction, feedback and development support
- Own projects end to end, from initial requirements through to production delivery
- Work closely with stakeholders and clients, confidently challenging requirements and shaping best practice
- Design data models and business processes that support scalable analytics and reporting
Your Skills and Experience
- Strong commercial experience as a Data Engineer with solid foundations in SQL and dimensional modelling
- Experience working with Snowflake or similar cloud data warehouses such as BigQuery
- Good Python capability, including orchestration tools such as Airflow
- Proven experience building and managing data ingestion pipelines
- Cloud experience within AWS or GCP environments
- Exposure to infrastructure as code tools such as Terraform
- Confidence leading people and projects, with clear communication and stakeholder management skills
- Comfortable operating in greenfield environments with a high degree of autonomy
What They Offer
- A modern, evolving tech stack with increasing use of AI driven features
- Clear scope to influence technical direction and ways of working
- Strong emphasis on work life balance and sustainable delivery
- The opportunity to grow alongside the business in a senior leadership capacity
How to Apply
If you are a Lead Data Engineer looking for a role that blends technical impact with people leadership in a genuinely greenfield setting, apply now to learn more.
(198544) Lead Data Engineer employer: Harnham
Join a dynamic and innovative consulting firm that prioritises work-life balance and employee autonomy, making it an exceptional employer for a Lead Data Engineer. With a strong focus on digital transformation, you will have the opportunity to shape modern data platforms while enjoying a supportive work culture that encourages professional growth and leadership development. This role offers a unique chance to influence technical direction in a greenfield environment, ensuring your contributions are both meaningful and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land (198544) Lead Data Engineer
✨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 Data Engineer role. You never know who might have the inside scoop on an opportunity or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository that highlights your projects, especially those involving SQL, Python, and cloud data warehouses. 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 technical knowledge and leadership skills. Be ready to discuss how you've managed teams and delivered projects in greenfield environments. Confidence is key!
✨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 take the initiative to connect with us directly.
We think you need these skills to ace (198544) Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your hands-on technical work and leadership roles, as we want to see how you can balance both aspects.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this Lead Data Engineer role. Share specific examples of your past projects, especially those involving greenfield environments and data platforms.
Showcase Your Technical Skills:Don’t forget to mention your experience with SQL, Snowflake, Python, and cloud environments like AWS or GCP. We’re looking for solid foundations, so make sure these skills shine through in your application.
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 about the role.
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and cloud experience before the interview. Be ready to discuss specific projects where you've built data ingestion pipelines or worked with Snowflake. The more detailed examples you can provide, the better!
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to talk about your leadership style. Share experiences where you've guided a team through challenges or provided feedback that led to improvement. They want to see how you balance hands-on work with leading others.
✨Understand Their Business Model
Familiarise yourself with the consulting firm's approach to digital transformation. Be ready to discuss how you can contribute to their mission of modernising data platforms and ways of working. Showing that you understand their goals will set you apart.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their tech stack, team dynamics, and how they measure success in projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
