About Smartpricing
We are Smartpricing, and we support small and medium-sized accommodation providers with solutions to help them fight back against the huge hotel chains. We started in 2020 by providing these companies with a dynamic pricing manager which can update room prices 100 times per day, and increase revenue by 30%. We were named one of Italy’s top start-ups in 2023, and are the fastest growing B2B SaaS company in the accommodation space in both revenue and number of clients. Today we are working with over 3000 companies in over 17 countries, and steadily growing. Yet, this is only the start of our journey.
As we head into the latter half of 2024, we are looking to launch a suite of new products and focus on internationalizing our reach further. We aim to work with 5000 SMB clients by the end of this year, and aim to keep our 100% growth rate up well into next year. This means we have a very exciting time ahead of us, and require to work with some of the best people the tech industry has.
What Will You Do?
Our technology team is building a platform of solutions that will help accommodation providers optimise the way they run their business. We are investing a lot in R&D with the intention to double the amount of products we host on our platform by the end of the year, and as such we are expanding our engineering team.
We are looking for an experienced Data Engineer to join us on our exciting journey. You will be the point of reference on everything data related, reviewing data structures, building data warehouses and data lakes and creating standardised company data for use of internal analysis. You will collaborate closely with senior stakeholders and other members of the tech and data science team, building technological solutions which impact data availability and sets a new standard for data access across the company.
You will be responsible for:
Setting new standards for data: choosing the tooling and re-building data structures to meet the needs of the company as we move into high growth
Owning all data related processes: Building and maintaining data pipelines, data warehouses and data lakes
Ensure accessibility to data: Standardise and make company data available for analysis
Collaborative working: Understand the needs of senior stakeholders and work with with RnD, data science and data analysts to provide data needed for executing product and business strategy
What do we offer?
We are on the cusp of an extremely exciting and rewarding journey. This means we will be working hard to tackle complicated challenges as we build a business with significant potential for the future. We will compensate you with a competitive salary that conforms to the market and your experience.
Smartpricing is proud to be an equal opportunity employer. We want sincerity, but always with respect for others and their ideas. We don’t discriminate based on race or ethnic origin, colour, or whether or not you consider yourself to have a disability. Neither will your age, gender, gender identity, sexual orientation, religion, beliefs, or political opinions play a part in your application with us.
Curious? Want to learn more? Have a look at our
Work with Us page.
About us
We are the Smarties and our goal is to fully automate online operations for every lodging across the globe and become the number one SaaS in our category worldwide.
We develop a SaaS that, by leveraging machine learning algorithms, increases our clients' revenues by over 30% on average.
Don't you believe it? Have a look here: https://www.smartpricing.it/it/case-study/
Here's some information about us:
- We have been the fastest-growing B2B SaaS in the lodging industry ever (as far as we know).
- On Glassdoor, we boast some of the highest ratings in the industry, +4.5 out of 5 stars, and our latest eNPS score is 55.
- Last year, we were awarded as one of the top 10 LinkedIn startups in Italy.
- We have already managed several billion euros in bookings for clients from 17 countries in just few years of operations.
- We have raised funds from top international investors like Partech.
