Data Engineer

at  Hostelworld Group

ABOUT US

Hostelworld Group, the global hostel-focussed online booking platform, inspires adventurous minds to meet the world and come back with life-changing stories to tell. Our customers are not your average tourists, they crave cultural connection and unique experiences that we make possible by providing an unbeatable selection of hostels in unmissable locations – all in the palm of their hand.
It is the social nature and community feel of hostels and their environment, that enable travellers to embrace journeys of discovery, adventure and meaning. We have more than 13 million reviews across 17,800 hostels in more than 179 countries, making the brand the leading online hub for social travel. The website operates in 19 different languages and our mobile app in 13 languages.
Founded in 1999 and headquartered in Dublin, Hostelworld has a growing, high-calibre team of 230 people within Technology, Product, Global Markets, HR, Finance & Legal and Marketing Teams across our Dublin, London, Porto, Shanghai and Sydney offices. Hostelworld is listed on the London Stock Exchange and Dublin Euronext. You can read more about our story here.

EXPERIENCE & QUALIFICATIONS:

• Minimum 3 years of experience in Data Engineering.
• Experience working in a team of dispersed Data Engineering professionals, supporting and ensuring high quality and on-time consistent delivery of Data in Cloud environments.
• Deep understanding of modern Data tools and best practice standards, and the ability to make the right tool choices.
• Support optimizing infrastructure costs.
• Hold a strong bias towards efficiency through automation, continually improving approach, scaling processes and implementing effective monitoring as needed.
• Excellent organisation and time-management skills, able to work in a dynamic and fast-paced environment.
• Ability and drive to maintain a high bar of quality and have pride in doing work well to high engineering standards.
• Ability to balance technical leadership with sound business judgment. Ability to handle customer escalations & multiple competing priorities.
• Communicate clearly and with purpose, working effectively with team members and stakeholders across the organisation.
• Experience with Dev Ops practices such as CICD, scrum / agile philosophy.
• Experience working with Jira to manage your projects / tasks.

ESSENTIAL SKILLS:

• Competency in Python
• Data Engineering experience, ideally in Google Cloud
• SQL (preferably BigQuery, Snowflake, MariaDB)

DESIRABLE SKILLS:

• MongoDB
• Apache Airflow
• Linux shell scripting and architecture
• Docker Containers

WHAT YOU’LL DO ‍

You will hone and develop a wide range of technical skills in managing our data. The data engineering team require a person who is flexible, adaptable and able to connect a wide range of data sources and types into a focal point. It’s a rewarding experience with exciting diverse work:
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- Maintain and apply up to date, specialist knowledge of database concepts including unstructured, NoSQL and “big data” platforms
- Design ETL frameworks and standards for specific ETL programmes and projects, working with modern and legacy data sources
- Support estimating, prioritizing, planning and coordinating tasks and activities
- Select and implement the most effective best practice tools and delivery processes to ensure data quality standards are maintained effectively
- Interact and liaise with global teams of software developers and business unit owners building and releasing new platform features
- Implement appropriate best practices to support rapid and efficient capacity scaling and increase the quality & velocity of Data processing
- Partner with cross functional experts across the organisation delivering a variety of different projects ranging from consumer facing features to backend functionality
- Support estimation of effort/activity for new projects and features, and dependencies/impacts, working closely with technical and business teams
- Build new pipelines to increase our visibility of business metrics by ingesting partner data from external API source