Data Engineer (SaaS)

About us:

This is what you tell people at parties:

I am working at an international super-fast-growing tech company and we are revolutionising hoteliers around the globe. RoomRaccoon is awarded the world's best Hotel Management System for 2 years in a row and empowers hoteliers to run their property way more effectively. Our growing team of 91 heads is working from 10 offices all over the world!

It's an exciting time to join RoomRaccoon. Through innovation, we have been able to enter many different markets and grow our international team of professionals who are dedicated to helping RoomRaccoon with its mission of becoming the world's number one hotel management system. - Tijmen van Dijl (CEO & Co-Founder)

Tasks

About the role:

The mission of RoomRaccoon's Data Engineer is to help RoomRaccoon become the most adopted hotel management system in the world by analysing company information and supporting Team Product, Sales, and Marketing with insights based on this. Our Data Engineer will use large data sets to find opportunities for product and process optimisation and use models to test the effectiveness of different courses of action. This is required to drive business results. They will make use of data analysis methods, using a variety of data tools to build and implement models. Creating algorithms and running simulations is also a part of this position.

Your main duties and responsibilities will be - but not limited to:

Working with our departments throughout the organisation to identify opportunities for leveraging company data to drive business solutions.

Design and develop robust, scalable, high-performance data pipelines and ETL (Extract, Transform, Load) processes to ingest, process, and transform large volumes of data from various sources into usable formats.
Collaborate with stakeholders to understand business requirements and translate them into technical specifications for data models, schema designs, and data integration processes.
Analyse and query data from company databases to drive optimisation and improvement of product development.
Build and optimise data storage solutions, including data warehouses, lakes, and marts, to support data analysis, reporting, and visualisation needs.
Ensure data quality and integrity by implementing data validation and cleansing processes, performing data profiling, and resolving data anomalies or inconsistencies.
Assist with capturing external data operating our crawlers and provide quality assurance on all real-time reports and boards we operate on.
Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Monitor and troubleshoot data pipelines and infrastructure, identifying and resolving performance bottlenecks, data issues, and system failures promptly.
Use predictive modelling to increase and optimise our customer's journey and experience, revenue generation, and other business outcomes.
Collaborate with software engineers to integrate data engineering solutions into existing and new software applications and services.
Develop company A/B testing framework and test model quality.
Develop processes and tools to monitor and analyse model performance and data accuracy.

Your progression:

After successfully meeting expectations in your role and earning the points needed on your role-based progression plan, the Senior Data Engineer position will be your next step

Requirements

Our perfect fit has/is

A degree or higher qualification in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with coding knowledge and experience with PHP and Vuejs
Full proficiency in SQL
Experience in PHP
Skilled in mathematics and not afraid of the Linux command line
Strong problem-solving skills with an emphasis on product development.
Experience using statistical computer languages such as PHP to manipulate data and draw insights from large data sets.
Hands-on experience with data modelling, schema design, and data integration techniques.
Experience working with and creating data architectures.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests proper usage, etc.) and application experience.
Excellent written and verbal communication skills for coordinating across departments
A drive to learn and master new technologies and techniques.
Were looking for someone with 3-5 years of experience manipulating data sets and building statistical models

Benefits