At a Glance
- Tasks: Build and maintain scalable data pipelines and support innovative data solutions.
- Company: Dynamic London-based hospitality group focused on data-driven insights.
- Benefits: 33 days holiday, health cash plan, retail perks, and volunteer time off.
- Other info: Collaborative environment with excellent growth opportunities and creative challenges.
- Why this job: Join a fast-growing team and shape the future of data in hospitality.
- Qualifications: Experience in data engineering, strong database skills, and Python proficiency.
The predicted salary is between 60000 - 80000 £ per year.
Based in London and reporting to the Director of Business Intelligence, we are seeking a Data Engineer with a passion for building scalable and reliable data platforms. You will play a key role in delivering an enterprise‑grade data warehouse/Lakehouse aligned to our data‑driven roadmap. You will work across cloud platforms, APIs, and streaming technologies to power analytics, reporting and insights, while ensuring data quality, governance and performance across the platform. You’ll be empowered to experiment, learn and help shape the future of our data department.
Key Responsibilities
- Design, build, and maintain scalable batch and real‑time data pipelines.
- Develop and support RESTful and streaming APIs for event‑driven data ingestion.
- Manage queuing and streaming systems to enable resilient, low‑latency processing.
- Design and operate streaming architectures with fault tolerance, schema evolution, and data quality controls.
- Build and maintain structured and unstructured databases (e.g., SQL Server, BigQuery).
- Develop and optimise queries and data models to support analytics and reporting.
- Manage enterprise data warehouses and Lakehouse, ensuring data integrity and governance.
- Perform data migration, transformation, and normalisation across systems.
- Collaborate with cross‑functional teams to deliver data solutions that drive business insight.
- Monitor, tune, and troubleshoot data pipelines and databases, continuously improving performance and reliability.
- Support the integration of AI and LLM‑driven capabilities into the data platform, ensuring data readiness, quality, and governance for future AI use cases.
Qualifications
- Experience as a Data Engineer, Data Analyst or similar role.
- Strong database expertise, including performance tuning and optimisation.
- Hands‑on experience with relational and analytical databases (e.g., MS SQL Server, BigQuery).
- Experience building and managing data warehouses, data lakes, or Lakehouse architectures.
- Solid understanding of ETL pipelines and cloud‑based data platforms.
- Experience integrating APIs with data systems.
- Strong Python skills for data engineering, automation, and transformation.
- Experience working with structured and semi‑structured data (e.g., JSON).
- Understanding of data security, governance, and modern data architecture patterns (e.g., Medallion, Kimball).
- Preparing and managing data for AI/LLM applications and machine learning use cases.
Nice to Have
- Experience with Databricks, including structured streaming and pipelines.
- Familiarity with Delta tables, partitioning and performance optimisation.
- Experience with GraphQL for analytics or data access APIs.
- Knowledge of the hospitality or hotel industry, particularly booking engines.
- Experience working across complex organisations with multiple stakeholders.
- Experience with Domo BI tool.
About You
- A proactive problem solver who enjoys tackling complex data challenges.
- Curious, experimental, and eager to learn.
- Whilst comfortable iterating and learning from mistakes.
- Strong communicator, able to explain technical concepts to non‑technical stakeholders.
- Proven track record of designing, building, and evolving data warehouses and data lakes.
- Comfortable working in a fast‑paced, collaborative, and evolving environment.
Benefits
- 33 days holiday, pension and life insurance.
- Health cash plan to claim money back and access support for physical & mental wellbeing.
- Retail & hospitality perks through partners.
- Discounts across the Ennismore family for you and your nearest and dearest (even after you leave!).
- Extra time off to volunteer with partner charities.
- Cycle to work scheme.
- Opportunity to join an innovative, fast‑growing international hospitality group.
- Chance to help build a modern, enterprise‑scale data platform from the ground up.
- A creative, collaborative, and rewarding working environment.
- Competitive package with strong opportunities for growth and development.
Data Engineer employer: Accor Hotels
Join a dynamic and innovative international hospitality group based in London, where as a Data Engineer, you'll have the opportunity to build and maintain cutting-edge data platforms that drive business insights. With a strong focus on employee growth, you will enjoy 33 days of holiday, a health cash plan, and unique perks across the Ennismore family, all within a collaborative and creative work culture that encourages experimentation and learning. This role not only offers a competitive package but also the chance to shape the future of our data department in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Accor Hotels!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Accor Hotels.
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We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Accor Hotels, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Accor Hotels. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Accor Hotels
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Accor Hotels!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
