Data Engineering

ABOUT US

Indie Campers, the go-to campervan Marketplace, is on a mission of making road trips available to everyone. Thanks to its digital approach and customer-centric orientation, Indie Campers has developed a strong booking experience and high-quality road trips at affordable prices. 

The company aggregates over 3,000 own vehicles, in addition to the campervans and motorhomes of countless individual and professional hosts. The vision is to become the world’s No.1 road trip provider by continuing to expand – both vertically and geographically.

Indie Campers operates across the US in Los Angeles, San Francisco, Las Vegas, Denver, Salt Lake City, Phoenix, Orlando, and Miami, and in Europe in Germany, France, Spain, Italy, Portugal, Ireland, England, Scotland, Switzerland, Iceland, Sweden, Austria, Netherlands, Belgium, Sweden, Croatia, Norway, and has pick-up centres in more than 50 cities.

THE ROLE

As Indie Campers Data Engineer, you will be responsible for building Indie Campers systems  for data collection, management and conversation, turning raw data into usable information for our Data team and various Business Stakeholders to use.

You will be joining our Data team in our Lisbon HQ, reporting directly to the Data Lead, and working very closely with Engineering, Product, Marketing, Revenue Management and Business Development teams.

WHAT WILL YOU WORK ON?

• Build and sustain data pipelines to extract, clean and transform large-scale data sets;
• Design and build data management solutions focused on data acquisition, data quality, data transformation and migration planning;Provide hands-on design and implementation
• expertise around data warehousing, ensuring report development and data modelling capabilities across Indie Campers.;
• Guarantee & Implement data structures to preserve institutional knowledge;
• Translate and optimise code from data scientists to production;
• Collaborate with data scientists, business analysts and department leads to test and implement algorithms and predictive models.

WHO ARE WE LOOKING FOR?

• Bachelor’s Degree in any quantitative discipline (such as Statistics, Mathematics, or Physics) or in Engineering, Business, Finance, Economics, Computer Science or equivalent experience;
• Minimum 2 years of experience in an analytical role, with keen attention to detail;
• Proficiency in SQL and Excel;
• Prior experience with data visualisation tools (Tableau, QuickSight, Redshift, Power BI);
• Prioritisation of business goals - Delivery is key!
• Highly analytical and systematic mindset with attention to detail and the ability to maintain the focus in a fast-paced, dynamic environment;
• Fluent in English.