Data Engineer

Job description

2022 will be a big year here at OTA Insight as we recently had the pleasure of announcing a new series B funding of 80 million which will fuel our investment in product innovation! To accomplish our ambitions plans we are growing our innovation teams significantly where our Data Engineering team plays a crucial part. Ready to have a big impact in an ambitious scale-up? Read along!

We are looking for a Data Engineer who is passionate about scalable data architectures, cloud technology, complex data transformations, and handling large data streams on the fly, and wants to see their work translated into real life applications that impact 100.000’s of hotels worldwide.

In a fast-growing scale-up priorities might shift from time to time. You’ll gain experience and ownership in different domains depending on your ambition, but here are some general topics: 

  • Implement, maintain and improve streaming and batch data processing pipelines, both to ingest raw data streams from external sources as well as supporting the data transformations needed that power our data-driven products.

  • Set up and maintain infrastructure & tools to support our data processing pipelines.

  • Research and test data processing methodologies, tools and frameworks.

  • Actively contribute to the observability & testability of our data pipelines.

  • Be part of the product scrum-teams, to tackle data storage, modelling and transformation problems related to new feature developments

Technologies you’ll work with:

Google Cloud Pub/Sub, BigTable, BigQuery, Dataflow, Kubernetes, Python

 (feel free to ask us why these are the best fit for us)

About the team

The OTA Insight Data Engineering team in Ghent is the gatekeeper to our vast datasets. Our mission is to reliably transform, integrate and store the numerous data sources that power our BI products. Our main dataset holds 3 trillion (yes that’s 12 zeros) hotel rates. We are the go-to team for any new feature development that requires adaptations to the way we store, model and aggregate our data. The team works in close collaboration with our Product team, as well as a highly talented group of software engineers, data scientists, and project managers to drive initiatives forward. 


About OTA Insight

OTA Insight is a scale-up within the hotel industry. Founded in 2012, with a vision to provide user friendly tools to hoteliers. Today we are considered the global leader in hotel BI and are working with 55,000+ hotels worldwide in 185+ countries. As there are more than 1 million hotels worldwide, we are still filled with ambition to grow further.


We generate value to our customers by visualising actionable insights out of our vast datasets. Our tools help hotels to analyse their competition’s room pricing, analyse their hotel revenue, and find out where and when guests are looking and booking. Our products have a profound impact on the day to day activities of our customers, taking away guesswork and simplifying their routines. This has allowed us to grow rapidly over the past few years, adding new products as we solve new problems for our users.


We are looking for:

  • 2+ years of experience in a data engineering related position.

  • Professional experience in Python

  • Knowledge of one or more cloud database solutions like BigQuery, Snowflake, BigTable, DynamoDB, Spanner,...

  • Experience with microservice architectures and one or more data streaming systems like Kafka, Google Cloud Pub/Sub or Amazon SNS,...

  • Desire to continually keep up with advancements in data engineering practises

  • Proven experience distilling insights out of a dataset, and normalising datasets according to business requirements.

  • You have played an active role in the data research phase of new projects, and actively contributed to the idea generation process.

  • You are always curious about how a technology works under the hood, in order to make a proper assessment of what the ideal use-case for the technology is and understand its limitations.

  • Fluent in English

We welcome:

  • Experience using Golang
  • Be familiar with and an advocate of DataOps practises
  • Hands-on experience with one or more data workflow tools like Airflow, Luigi, Azkaban
  • Know your way around in the serverless offering of cloud providers like e.g. GCP or AWS
  • Experience in working  in a cross-functional team to develop and deliver new product features