Analytics Engineer Lazio

Analytics Engineer
Roma
Lazio, Lazio

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.

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 be in a position to 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 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 to support analytical and reporting needs. Write and optimize SQL queries, and develop Python scripts to transform raw data into refined datasets and automate data processing tasks. Build and manage ETL / ELT processes using a combination of 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. 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. Relevant work experience will also be considered. Experience : Strong proficiency in SQL, with a deep understanding of database design and data warehousing concepts. Hands-on experience with Python for data processing, automation, and API integrations. Technical Skills : Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift. Familiarity with ETL / ELT tools and processes. Experience with version control systems (e. g. , Git). Soft Skills : Strong problem-solving skills and attention to detail. Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders. Ability to work independently and as part of a team in a fast-paced environment. 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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