At a Glance
- Tasks: Lead a team of Data Engineers and shape our data warehouse function.
- Company: Join Travel Chapter, where data drives exceptional experiences.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment focused on innovation and continuous improvement.
- Why this job: Make a real impact on data solutions that influence strategic decisions.
- Qualifications: Strong experience in Data Engineering, SQL, and Snowflake required.
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.
Lead Data Engineer employer: Travel Chapter
At Travel Chapter, we pride ourselves on being an exceptional employer that values innovation and collaboration. Our dynamic work culture fosters continuous learning and growth, providing ample opportunities for professional development while you lead a talented team in shaping our data capabilities. Located in a vibrant environment where data drives decision-making, you'll find your contributions are not only recognised but also pivotal to our mission of creating outstanding experiences for our guests and homeowners.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those involving Snowflake and SQL. This will not only demonstrate your technical prowess but also your problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and leadership questions. Be ready to discuss how you've influenced stakeholders and led teams in the past. We want to see your confident leadership shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows your genuine interest in joining our ambitious team at Travel Chapter.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Show Your Technical Skills:Make sure to highlight your experience with SQL, Snowflake, and any other relevant tools in your application. We want to see how your technical depth aligns with the role, so don’t hold back on showcasing your expertise!
Demonstrate Leadership Experience:Since this is a leadership position, it’s crucial to illustrate your past experiences leading teams and influencing stakeholders. Share specific examples of how you've mentored others and driven projects forward.
Tailor Your Application:Take the time to customise your application for this role. Use language from the job description to show that you understand what we’re looking for and how you fit into our vision for the Data Team.
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 Data Inside Out
Before the interview, make sure you’re well-versed in the technical aspects of data engineering, especially around Snowflake and SQL. Brush up on your experience with ELT tools like DBT and Fivetran, as well as your understanding of data modelling principles. Being able to discuss specific projects where you've applied these skills will show your depth of knowledge.
✨Showcase Your Leadership Style
This role is all about leadership, so be prepared to talk about your approach to mentoring and supporting a team. Think of examples where you've successfully led a project or influenced stakeholders. Highlight how you create a collaborative environment and encourage best practices within your team.
✨Understand the Bigger Picture
It’s crucial to demonstrate that you grasp not just the 'how' but also the 'why' behind data solutions. Be ready to discuss how your work impacts the wider business and contributes to strategic decision-making. This shows that you’re not just technically skilled but also aligned with the company’s goals.
✨Prepare for Problem-Solving Scenarios
Expect to face some complex problem-solving questions during the interview. Prepare by thinking through past challenges you've encountered in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly and effectively.
