Job Search and Career Advice Platform

Enable job alerts via email!

Data Engineer (Hospitality/HotelTech)

Black Pen Recruitment

Cape Town

On-site

ZAR 200 000 - 300 000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

An innovative tech firm in Cape Town seeks a Data Engineer to help optimize hotel management operations through data analysis and reporting. The successful candidate will work with large datasets, develop algorithms, and collaborate with cross-functional teams to improve hotel management systems. Requirements include a degree in a quantitative field and expertise in SQL, PHP, and statistical modeling. The role offers excellent growth potential, learning opportunities, and a dynamic work environment.

Benefits

Unlimited learning & growth potential
Employee Equity Scheme
Regular training trips to Europe
Annual salary increases
Friday lunches

Qualifications

  • 3-5 years experience manipulating data sets and building statistical models.
  • Knowledge of advanced statistical techniques (regression, distributions, statistical tests).
  • Full proficiency in SQL and experience with PHP.

Responsibilities

  • Analyse and query data from databases to drive optimisation in product development.
  • Develop custom data models and algorithms.
  • Coordinate with departments to implement models and monitor outcomes.

Skills

SQL
PHP
VueJs
Statistical analysis
Problem-solving

Education

Degree in Statistics, Mathematics, Computer Science or related field
Job description
About the job Data Engineer (Hospitality/HotelTech)

Join our clients dynamic and rapidly expanding tech company as they embark on a mission to transform the global hotel industry. They have been recognized as the leading Hotel Management System provider for two consecutive years, driving innovation and empowering hoteliers worldwide. Our client is passionate about enabling hoteliers to optimize their operations and achieve remarkable success. With a global presence spanning multiple continents, their team of talented professionals works tirelessly across 10 strategically located offices.

If you are looking to be part of a forward-thinking organization that is revolutionizing the hospitality sector, we invite you to put your best foot forward. Embrace the opportunity to contribute to an exciting journey, as they shape the future of hotel management worldwide.

Role Overview

As the Data Engineer, you will be reporting to the Head of Product and your mission would be to help our client 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. You will be using large data sets to find opportunities for product and process optimisation and use models to test the effectiveness of different courses of action. You will make use of data analysis methods, using a variety of data tools to build and implement models, as well as creating algorithms and running simulations.

If you are successful, you would need to be able to travel to Cape Town for our client’s onboarding programme for the first 2 weeks in their beautiful offices.

Job type: On-site | Full Time

Location: Cape Town

Technical Requirements
  • A degree or higher qualification in: Statistics, Mathematics, Computer Science or another quantitative field
  • 3-5 years experience in manipulating data sets and building statistical models
  • Full proficiency and experience in SQL
  • Experience in PHP and VueJs
  • Experience using statistical computer languages such as PHP to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Skilled in mathematics and not afraid of the Linux command line
Required Attributes
  • Excellent written and verbal communication skills for coordinating across departments
  • A drive to learn and master new technologies and techniques.
  • Strong problem-solving skills with an emphasis on product development.
  • Responsibilities:
  • Working with other departments throughout the organisation to identify opportunities for leveraging company data to drive business solutions.
  • Analyse and query data from company databases to drive optimisation and improvement of product development
  • Pull data for our Teams on a daily basis on request
  • Assist with capturing external data operating the crawlers and provide quality assurance on all real-time reports and boards
  • Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modelling to increase and optimise customers journeys and experiences, revenue generation, and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different departments to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyse model performance and data accuracy.

Our client is focused on your development and growth within the company. Once you successfully achieve the points needed on your role based progression plan and are ready to take the next step, you can become the Senior Data Engineer!

  • Working in a vibrant international fast growing company
  • Unlimited learning & growth potential
  • Your ideas and performance making a big difference in the organisation and the global hotel industry
  • Work hard, Play hard mentality. Our client loves celebrating successes together!
  • Employee Equity Scheme
  • Regular trips to Europe for training & celebrational ceremonies (International Week)
  • Annual company Hotel Experience
  • Friday lunches
  • Annual salary increases
  • If you are interested, please send your application via our website or Job Link! We look forward to hearing from you!
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.