At Hostelworld (Permanent), in Porto, Portugal
Salary : €45.000 - €50.000
Expires at : 2025-05-19
Remote policy : Full remote
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.
The Role and Team The Analytics and Insights team in Hostelworld comprises of 20+ people who provide insights across a number of growth units including paid marketing, customer analytics, and app analytics to support decision making at C and senior management level.
As an Analytics Engineer within the Process and Tooling function of the A&I team, you will lead the way for how data and analytics is used at HostelWorld. We are seeking a highly skilled and motivated Analytics Engineer with expertise in dbt, Python, and API integrations to join our data team. You will play a crucial role in transforming raw data into a well-organized, scalable, and insightful data model that empowers our analytics and business intelligence efforts. You will work closely with data analysts, data scientists, and other stakeholders to ensure the delivery of high-quality, reliable data that drives decision-making across the organization.
Key Responsibilities : Collaborate with the Data Tooling / Data Platform team to design and implement scalable and efficient data models, pipelines, and tools.Design, develop, and maintain robust and scalable data models using dbt.Write and optimize SQL queries, and develop Python scripts to transform raw data into refined datasets.Build and manage ETL / ELT processes using dbt and Python.Develop and maintain API connections to ingest data from various external sources.Collaborate with data scientists to develop, deploy, and maintain data pipelines that support machine learning models and other advanced analytics initiatives.Implement and monitor data quality checks within dbt and Python scripts.Continuously optimize the performance of data transformations and queries.Main requirements Education : Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.Experience : Strong proficiency in SQL and hands-on experience with Python for data processing and API integrations.Technical Skills : Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift; familiarity with ETL / ELT tools; experience with version control systems (e.g., Git).Soft Skills : Strong problem-solving skills, excellent communication skills, and ability to work independently and as part of a team.Preferred Qualifications : Experience with Python or another scripting language; familiarity with Google Cloud; knowledge of data governance and data security best practices.Nice to have Experience working with remote teams.Benefits & Perks Competitive salary & benefitsEnhanced annual leave plus 3 Wellbeing Days per yearPaid family leave (maternity, paternity, surrogacy & adoption)Agile working (plus a Working from Abroad Policy!)Support for your ongoing growth & developmentInclusive people policies (sickness, menopause, compassionate and fertility leave)A chance to give back to your local community with 5 paid volunteering days
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