At a Glance
- Tasks: Lead a team of Data Engineers and shape the data warehouse function.
- Company: Join Travel Chapter, where data drives exceptional experiences.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact on data solutions that influence strategic decisions.
- Qualifications: Strong experience in Data Engineering, SQL, and Snowflake.
The predicted salary is between 70000 - 90000 £ per year.
This is a genuinely influential leadership position within our growing Data Team. You'll take ownership of the data warehouse function, leading both the technical direction and the people behind it. Working closely with senior stakeholders across the business, you'll help drive scalable, high-quality data solutions that support everything from operational performance through to strategic decision making. We're looking for someone who combines strong technical depth with confident leadership. Someone who enjoys solving complex problems, challenging thinking where needed and creating well-structured, scalable solutions that stand the test of time. You'll be joining a collaborative and ambitious environment where your expertise will be trusted, valued and listened to.
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.
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. 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
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.
Snowflake Data Warehouse Lead - Visionary Data Engineer employer: Travel Chapter
At Travel Chapter, we pride ourselves on being an exceptional employer that values innovation and collaboration within our Data Team. Our supportive work culture fosters continuous growth and development, allowing you to lead impactful data solutions while mentoring a talented team. With a focus on engineering best practices and a commitment to making data-driven decisions, you'll find a rewarding environment where your expertise is not only recognised but also essential to our mission of creating outstanding experiences for our guests and homeowners.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Data Warehouse Lead - Visionary Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake or in similar environments. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your best data models and pipelines. When you get the chance to chat with potential employers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Be ready for technical challenges! Brush up on your SQL and Snowflake knowledge, and be prepared to solve real-world problems during interviews. This is your chance to demonstrate your technical depth and leadership skills.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with our vision for data engineering and leadership.
We think you need these skills to ace Snowflake Data Warehouse Lead - Visionary Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Snowflake Data Warehouse Lead role. Highlight your leadership experience and technical expertise in data engineering, especially with Snowflake and SQL.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this position. Share specific examples of how you've led teams and solved complex data challenges, and don’t forget to mention your passion for data-driven decision making!
Showcase Your Technical Skills:In your application, be sure to detail your experience with relevant tools like DBT, Fivetran, and Python. We want to see how you’ve applied these skills in real-world scenarios, so don’t hold back on the specifics!
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 shape our data environment!
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 concepts, SQL, and how you've used Snowflake in past projects. This role is all about technical depth, so showcasing your expertise will definitely impress.
✨Showcase Your Leadership Style
Since this is a leadership position, be prepared to talk about your approach to mentoring and supporting a team. Share specific examples of how you've led teams in the past, tackled challenges, and fostered collaboration. Highlighting your ability to influence stakeholders will also be key.
✨Understand the Bigger Picture
This role isn't just about the technical side; it's about understanding how data impacts the business. Be ready to discuss how your work has supported strategic decision-making in previous roles. Showing that you grasp the importance of data in driving operational performance will set you apart.
✨Prepare for Problem-Solving Scenarios
Expect to face some complex problem-solving questions during the interview. Think of scenarios where you've had to challenge existing thinking or create scalable solutions. Practising how you articulate your thought process will demonstrate your analytical skills and confidence in tackling tough issues.
