Lead Data Engineer — Snowflake Platform Lead (Remote UK) in Northam

Lead Data Engineer — Snowflake Platform Lead (Remote UK) in Northam

Northam Full-Time 70000 - 90000 £ / year (est.) Working from home possible
Travel Chapter

At a Glance

  • Tasks: Lead a team of Data Engineers and shape our data platform's future.
  • Company: Join Travel Chapter, where data drives exceptional guest experiences.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative culture with a focus on continuous improvement and innovation.
  • Why this job: Make a real impact on data strategies in a dynamic environment.
  • Qualifications: Experience in Data Engineering, Snowflake, and strong SQL skills required.

The predicted salary is between 70000 - 90000 £ per year.

Your next chapter at Travel Chapter, data sits at the centre of how we operate, make decisions and create exceptional experiences for our guests and homeowners. As we continue to evolve our platform and capabilities, we’re looking for a Lead Data Engineer to play a critical role in shaping the future of our data environment.

Location: Remote within the UK

Contract: Permanent

Hours: Full time

What You’ll Be Doing

  • You’ll lead a team of Data Engineers while remaining close to the technical detail, helping shape the way our warehouse and wider data platform evolves.
  • A large part of the role will focus on designing and developing robust data models and pipelines within our Snowflake environment, ensuring the business has access to reliable, scalable and well-structured data.
  • You’ll work across a broad range of complex datasets, partnering with teams across the business to understand challenges, improve solutions and influence technical direction.
  • Alongside the hands-on technical leadership, you’ll mentor and support your team, helping create an environment focused on collaboration, engineering best practice and continuous improvement.
  • You’ll also play an important role in shaping standards, challenging approaches where appropriate and balancing long-term technical quality with commercial priorities.

What We’re Looking For

  • We’re looking for an experienced Data Engineering leader who is confident operating in fast-paced, evolving environments and comfortable navigating both technical and stakeholder challenges.
  • You’ll bring strong experience within modern data warehousing environments, with particular strength around Snowflake and advanced SQL capability.
  • You’ll have a strong understanding of data architecture and modelling principles, including experience building scalable warehouse structures using fact and dimension modelling approaches.
  • Beyond the technical skillset, this role requires someone who can lead with confidence. You should feel comfortable influencing senior stakeholders, pushing back constructively when needed and making decisions independently.
  • We’re particularly interested in people who enjoy understanding the bigger picture — not just how data is built, but why it matters and how it supports the wider business.
  • Experience within travel or hospitality would be beneficial given the complexity of the data landscape, but it’s by no means essential.

Technical Experience

  • Strong commercial experience within Data Engineering, including experience operating in a Lead capacity.
  • Deep understanding of SQL and data warehousing concepts.
  • Strong Snowflake experience.
  • Experience with ELT tooling such as DBT and/or Fivetran.
  • Experience working with Python within data environments.
  • Strong understanding of data modelling and architecture principles.
  • Experience with AWS Glue, MySQL and MSSQL Server.
  • Understanding of testing strategies and engineering best practice.
  • Experience working within Agile environments.

Why join us?

This is an opportunity to join a business where data genuinely matters. You’ll have the chance to influence technical direction, shape engineering standards and play a key role in the future growth of our data capability. You’ll be trusted with ownership, supported by a collaborative leadership team and given the space to make meaningful impact within a business that continues to evolve and grow.

Lead Data Engineer — Snowflake Platform Lead (Remote UK) in Northam employer: Travel Chapter

At Travel Chapter, we pride ourselves on being an exceptional employer that places data at the heart of our operations. As a Lead Data Engineer, you'll enjoy a collaborative work culture that fosters innovation and continuous improvement, alongside opportunities for professional growth in a dynamic remote environment. With a focus on mentorship and technical leadership, you'll have the autonomy to shape our data landscape while making a meaningful impact within the travel and hospitality sector.

Travel Chapter

Contact Details:

Travel Chapter Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer — Snowflake Platform Lead (Remote UK) in Northam

Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake. A friendly chat can lead to insider info about job openings or even referrals.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data models and pipelines. This is your chance to demonstrate your expertise in SQL and Snowflake, making you stand out to potential employers.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled challenges in previous roles and how you can influence stakeholders effectively.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.

We think you need these skills to ace Lead Data Engineer — Snowflake Platform Lead (Remote UK) in Northam

Data Engineering
Snowflake
SQL
Data Modelling
Data Architecture
ELT Tooling (DBT, Fivetran)
Python

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your Snowflake expertise and any leadership experience you have, as we want to see how you can lead our data team.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our mission. Share specific examples of your past work that align with the responsibilities outlined in the job description.

Showcase Your Technical Skills:Don’t shy away from detailing your technical abilities, especially around SQL, data modelling, and any tools like DBT or Fivetran. We’re keen to see how your skills can help shape our data environment.

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’re considered for this exciting opportunity to join our team!

How to prepare for a job interview at Travel Chapter

Know Your Snowflake Inside Out

Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your experience with data warehousing, SQL, and how you've used Snowflake in past projects. This will show that you’re not just familiar with the platform but can also leverage it effectively.

Showcase Your Leadership Skills

As a Lead Data Engineer, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully guided teams in the past, tackled challenges, and fostered collaboration. Highlighting your leadership style will help the interviewers see you as a strong fit for their culture.

Understand the Bigger Picture

Travel Chapter is looking for someone who understands how data impacts the business. Be prepared to discuss how your work in data engineering supports broader business goals. Think about how you can articulate the value of data in enhancing guest experiences and operational efficiency.

Prepare for Technical Challenges

Expect some technical questions or challenges during the interview. Brush up on your data modelling principles and be ready to solve problems on the spot. Practising common SQL queries or data pipeline scenarios can give you an edge and demonstrate your hands-on expertise.