Senior Data Engineer (Data Warehouse)

About HomeToGo

HomeToGo: a company built around the idea of making it easy to find the perfect accommodation for any trip. Since its founding in 2014, HomeToGo has evolved to have the world's largest selection of vacation rentals, listing millions of offers from thousands of trusted partners. HomeToGo employs more than 250 people and manages 23 local apps & websites across Europe, North America, South America, Australia and Asia-Pacific. HomeToGo also operates brands such as Tripping.com, CASAMUNDO and Wimdu.

Position

As a Senior Data Engineer (Data Warehouse), you will join our ambitious and forward-thinking colleagues in the Data Engineering team. At HomeToGo we capture process and store hundreds of gigabytes of new data on a daily basis using technologies such as Apache Kafka and Apache Spark. Our data lake holds hundreds of terabytes of data in AWS S3 which is utilised in various ways by different teams running data jobs in Apache Airflow: from building self-service analytics dashboards via AWS Redshift, Apache Druid, Redash and Tableau to training ML models which make thousands of decisions per second on our websites every day. You will contribute to HomeToGo's data platform by developing our Data Warehouse, which has to meet challenging scalability, performance and usability requirements. Your work will be critical to ensure that everyone at HomeToGo can make data-driven decisions efficiently and reliably on a daily basis.

How You'll Add Value:

• Design and implement data pipelines in SQL and Python 
• Maintain data models across a wide variety of data sources 
• Integrate external data sources with our DWH and Data Lake 
• Ensure high quality, durability and scalability of our DWH processes
• Closely collaborate with Data Analytics and other teams on various data projects
• Search for new technologies and tools to improve data handling within the organization

Your qualification

• Have excellent knowledge of SQL and relational databases
• Have experience in developing, maintaining and monitoring complex Data Warehouses 
• Have experience in creating and scheduling batch data processing flows (e.g. Airflow) 
• Have at least basic coding skills with Python 
• Have experience working with AWS or other cloud platforms is a plus 
• Have experience working with Redshift, Snowflake, or BigQuery is a plus 
• Have experience working with DBT, Great Expectations, Data Catalogs is a plus 
• Have practical communication skills and the ability to work in a team
• Are fluent in English

What we offer

• Career growth opportunities and promotions, 360° feedback and open feedback culture, mentoring opportunities from an international team of passionate, industry experts
• Culture driven by our Leadership Principles: entrepreneurial, results-driven, encouraging ownership and enabling each other to succeed. Transparency about company goals, collaboration and support from an international team
• Caring for the environment (proud to be a certified ClimatePartner and a climate neutral company!) as well as our employees (work-life balance, weekly yoga classes, personal training discounts, mentoring program and psychological support)
• Attractive benefits package, including competitive compensation, flexible remote work policy, visa sponsorship and relocation support. Additional benefits include language courses, full IT support and equipment, internal workshops and trainings, company and team events, modern and centrally-located office, additional holidays, Travel Industry Card