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For Companies At a Glance
- Tasks: Design and maintain data pipelines for a cutting-edge hospitality platform.
- Company: Join Openr, a transformative tech company in the hospitality industry.
- Benefits: Shape the future of SaaS with a competitive salary and hybrid work.
- Why this job: Make a real impact on data management in a growing tech environment.
- Qualifications: Strong coding skills in TypeScript and SQL; experience with AWS tools.
- Other info: Collaborative culture with opportunities for direct input into architecture.
The predicted salary is between 36000 - 60000 £ per year.
Openr is transforming how the hospitality industry manages and shares data. By centralising recipe, product, and pricing information, we help hospitality businesses seamlessly connect to platforms like Deliveroo and Just Eat, as well as EPOS and other customer touch points. We’ve recently closed a significant funding round and are backed by Azzurri Group, one of the UK’s most successful hospitality investment platforms. With strong market traction, we’re now looking for a Data Engineer.
Role Overview
We’re seeking an experienced and technically strong Data Engineer to join our high performing Engineering Team. This is an individual contributor role focused on building and maintaining the data pipelines that power our platform. You will work closely with the Product and Engineering team to ensure our data is centralised, cleaned and ready for use across our SaaS and integration platforms.
Technical Environment
- Backend: AWS Lambda, TypeScript, Node.js, PostgreSQL, SQL, JavaScript
- AWS cloud infrastructure
Key Responsibilities
- Design, build, and maintain scalable ETL (Extract, Transform, Load) pipelines to centralise data from various hospitality platforms.
- Optimise PostgreSQL performance and ensure system reliability and data integrity.
- Ensure data is cleaned, structured, and available for real-time integrations.
- Manage technical dependencies and risks associated with heavy data integrations across third-party platforms.
- Balance technical debt with the delivery of new data features and architecture.
- Act as a technical point of contact for data-related queries.
- Effectively communicate complex data concepts and architectural decisions to non-technical stakeholders.
Required Skills & Experience
- Strong hands‑on coding abilities in TypeScript, SQL and databases.
- Experience with building and managing data pipelines using AWS tooling.
- Proven track record of delivering complex technical projects.
- Excellent communication and interpersonal skills.
- Strong system design and architectural skills.
Preferred Qualifications
- Experience in SaaS or integration‑heavy platforms.
- Knowledge of event‑driven architectures.
- Background in scaling SaaS products.
- Understanding of security best practices.
What we offer
- Opportunity to shape the technical direction of a growing SaaS platform.
- No out-of-hours support requirements.
- Direct input into architectural decisions.
- Collaborative engineering culture.
- Work with modern cloud‑native technologies.
Location & Work Arrangement
Based in Farringdon, Central London. Hybrid working policy: 2 days per week in our office (Tues & Thurs).
Data Engineer employer: Openr
Contact Detail:
Openr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the hospitality and tech sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it’s a GitHub repo or a personal website, make sure potential employers can see what you can do with TypeScript, SQL, and AWS. It’s all about making that first impression count!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with ETL pipelines and system design. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers like you. Keep an eye on our careers page for the latest opportunities and make sure your application stands out by tailoring it to our needs.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with TypeScript, SQL, and AWS tools. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our mission at Openr. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work with data pipelines or SaaS platforms. We’re keen to see what you’ve built and how it relates to our needs.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at Openr
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially AWS, TypeScript, and PostgreSQL. Be ready to discuss your hands-on experience with these tools and how you've used them to build or optimise data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex technical projects you've delivered. Highlight specific challenges you faced, how you approached them, and the outcomes. This will demonstrate your ability to manage technical dependencies and risks effectively.
✨Communicate Clearly
Since you'll need to explain complex data concepts to non-technical stakeholders, practice simplifying your explanations. Use analogies or straightforward language to convey your ideas clearly during the interview.
✨Understand the Business Context
Research Openr and its role in the hospitality industry. Understand how data centralisation impacts their business model and be prepared to discuss how your skills can contribute to their goals, especially in relation to SaaS and integration-heavy platforms.