Engineer

Engineer

Full-Time 45000 - 55000 ÂŁ / year (est.) Home office (partial)
Haven

At a Glance

  • Tasks: Design and implement data solutions, ensuring high-quality outcomes and supporting your team.
  • Company: Join Haven, a part of the award-winning Bourne Leisure family, focused on amazing experiences.
  • Benefits: Enjoy 25 days holiday, annual bonuses, discounts, and comprehensive wellbeing support.
  • Other info: Hybrid working model with opportunities for career growth and continuous learning.
  • Why this job: Be a key player in data engineering, making impactful decisions in a supportive environment.
  • Qualifications: 3+ years in data engineering with skills in SQL, Python, and cloud platforms.

The predicted salary is between 45000 - 55000 ÂŁ per year.

At Haven, great holidays are powered by great data — and this is where you come in. As a Data Engineer, you’ll be a vital part of the engine that keeps our data flowing, building reliable, scalable solutions that help our teams make confident, informed decisions. You’ll grow your skills through hands‑on delivery, contribute high‑quality code every day, and play a key role in turning ideas into practical solutions. Working collaboratively within your squad, you’ll be a trusted go‑to for support and problem‑solving, helping others learn while continuing to develop your own expertise — all in a supportive, inclusive environment where everyone can thrive.

What You’ll Be Doing

  • Designing and implementing local, component‑level data solutions, delivering high‑quality outcomes within agreed timescales.
  • Collaborating actively in product and engineering ceremonies, contributing ideas and technical insight.
  • Communicating progress, risks, and opportunities clearly to support effective delivery.
  • Supporting and mentoring junior engineers, fostering continuous improvement within the squad.
  • Continuously developing technical capability, using internal learning tools and AI coding support responsibly.

What We’d Like You To Bring

  • Strong working knowledge of core data engineering skills including SQL, Python, data modelling (Kimball), and transformation tools such as dbt, with at least 3 years’ experience in a similar environment.
  • Good understanding of cloud‑based data platforms (Snowflake, Databricks) and experience with data build scheduling tools (e.g., Airflow), testing practices (TDD), and DevOps including CI/CD.
  • Intermediate skills in software design principles, security best practices, Linux, git workflow, and solution architecture, alongside excellent personal time management for remote working.
  • Ability to apply theoretical knowledge practically, manage local development environments, leverage AI coding tools, and engage confidently in product and technical discussions.
  • A curious, enthusiastic, and detail‑oriented mindset with a strong desire to learn, collaborate, and contribute effectively within a squad and cross‑functional teams.

Why Haven?

At Haven, we’re one great team, united by our passion for creating amazing experiences for our guests and our people. You’ll have access to training, mentoring, and opportunities to grow your career in a supportive, forward‑thinking environment.

What’s In It For You?

  • 25 Days Holiday + Bank Holidays + Holiday Buy Scheme
  • Annual bonus
  • Generous discounts on Haven and Warner Hotels holidays for you, your family and friends
  • Comprehensive wellbeing support
  • Access to the Bourne Leisure corporate box at the O2 Arena, London
  • Exclusive discounts with corporate partners
  • Exciting career pathways, including Learning and Development opportunities such as Apprenticeships and Degrees
  • Enhanced family‑friendly policies and pay (eligibility criteria applied)

Who are we?

We’re part of an award‑winning Bourne Leisure family, which includes Haven & Warner Hotels. We have 9,000 fantastic team members and 39 beautiful seaside locations and our HQ based in Hemel Hempstead.

What’s it like to work with us?

Working with us is ultimately defined by our exceptional people and teams. At Haven, we take pride in our Breath of Fresh Air culture, which focuses on valuing and supporting every team member. We prioritise openness and transparency in our interactions, allowing our team members to be their authentic selves. We operate a hybrid working model, meaning 50% of your working week will be spent at the office, occasionally in Park, or at external events.

What can you expect during the recruitment process?

The interview process will be up to 3 stages and may contain a presentation or skills test, depending on the role. If you require any support or reasonable adjustments to help you perform at your best during this process, please let us know. Diversity, equity, and inclusion are at the heart of who we are and what we do. Our commitment to these values is unwavering and they are central to our mission. We encourage applications from all backgrounds, communities and industries and we are happy to discuss any reasonable adjustments or flexibility that you may require, including whether a role can be part‑time or a job‑share. We genuinely care about every candidate’s experience during the recruitment process and are here to provide support where we can. If you require any assistance or reasonable adjustments while applying, please don’t hesitate to reach out to us at resourcingteam@bourne‑leisure.co.uk.

Engineer employer: Haven

At Haven, we pride ourselves on fostering a supportive and inclusive work culture that empowers our employees to thrive. As a Data Engineer, you'll benefit from extensive training and development opportunities, generous holiday allowances, and a collaborative environment where your contributions are valued. With access to exciting career pathways and comprehensive wellbeing support, Haven is an excellent employer for those seeking meaningful and rewarding work in a dynamic team.
Haven

Contact Detail:

Haven Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at Haven or similar companies on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss SQL, Python, and data modelling. Practising common interview questions can help you articulate your experience and show off your problem-solving skills.

✨Tip Number 3

Show your enthusiasm for the role! During interviews, express your passion for data engineering and how you can contribute to Haven's mission. A positive attitude can set you apart from other candidates.

✨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, it shows you’re genuinely interested in joining the Haven team.

We think you need these skills to ace Engineer

SQL
Python
Data Modelling (Kimball)
Transformation Tools (dbt)
Cloud-Based Data Platforms (Snowflake, Databricks)
Data Build Scheduling Tools (Airflow)
Testing Practices (TDD)
DevOps (CI/CD)
Software Design Principles
Security Best Practices
Linux
Git Workflow
Solution Architecture
Time Management
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with SQL, Python, and data modelling. We want to see how your skills align with what we’re looking for in a Data Engineer!

Show Your Collaborative Spirit: Since teamwork is key at Haven, share examples of how you’ve worked with others in the past. Whether it’s mentoring junior engineers or collaborating on projects, let us know how you contribute to a squad.

Be Clear and Concise: When writing your application, keep it straightforward. Clearly communicate your achievements and experiences without fluff. We appreciate clarity and want to understand your journey easily!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people and shows your enthusiasm for joining our team at Haven!

How to prepare for a job interview at Haven

✨Know Your Data Engineering Skills

Make sure you brush up on your core data engineering skills like SQL, Python, and data modelling. Be ready to discuss how you've applied these in past projects, especially with tools like dbt and cloud platforms such as Snowflake or Databricks.

✨Showcase Your Problem-Solving Abilities

During the interview, be prepared to share examples of how you've tackled challenges in your previous roles. Highlight your experience in mentoring junior engineers and how you've contributed to team success through collaboration and support.

✨Communicate Clearly and Confidently

Effective communication is key! Practice articulating your thoughts on technical topics and project progress. Be ready to discuss risks and opportunities clearly, as this will demonstrate your ability to contribute to product and engineering ceremonies.

✨Embrace Continuous Learning

Show your enthusiasm for learning by discussing any recent courses or tools you've explored, especially those related to AI coding support or DevOps practices. This will reflect your commitment to personal growth and staying current in the field.

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