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Data Engineering Team Lead

Belgium, Vlaams Gewest, GhentEngineering

Job description

At OTA Insight, we’re helping the hospitality industry with our BI solution to visualise and leverage its data in the most simple way so that they can optimise their revenue, distribution and marketing decisions.

This year is our 10 year anniversary and it is a big one! We raised a series B funding and have welcomed two companies to our organisation. With 350+ people, representing 36 nationalities living in 30 different countries, we are a fun, collaborative and committed team that works hard to achieve amazing results. Ready to take off and join this rocketship in revolutionising the hotel sector? 🚀

We are looking for a Data Engineering Team lead who is passionate about leading and growing a team that is responsible for scalable data architectures, cloud technology, complex data transformations, and handling large data streams on the fly.

About the team:

The OTA Insight Data Engineering team in Ghent is the gatekeeper to our vast datasets. They are the go-to team for any development that requires adaptations to the way data is acquired, stored, modelled and aggregated. The team works in close collaboration with product teams, as well as a highly talented group of software engineers and data scientists to drive initiatives forward.

We will trust you to:

  • Manage a team of data engineers and provide guidance to increase the efficiency, stability, deliverability, and maintainability of everything your team produces;

  • Plan and prioritise your domain roadmap in close collaboration with senior members of the team. Engage in architectural discussions;

  • Continuously look for ways to improve the development process within your team, e.g. on coding best practices, reviewing and testing process, support process, ...;

  • Regularly follow up with team members and help them grow and develop within the organisation, take part in various talent enablement conversations throughout the year and resolve employee grievances;

  • Assist with the onboarding of new joiners and engage in the recruitment process for new hires in your or other teams;

  • Keep peers and leadership informed about progress and blockers on technical and people subjects.

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)

Benefits of working at OTA Insight:

  • We offer you a highly competitive Total Reward package to reflect and demonstrate the true value of being part of #BestTeamEver with focus on compensation; benefits; development & culture that gets reevaluated every year.

  • “A day about you, away from your computer” is the motto for our extra annual Detox Days.

  • As hard working professionals, we trust in your sense of responsibility so no micromanaging but a flexible work environment.

  • Our rockstar office manager takes care of us at all times: lactose-free cappuccinos, vegan snacks and healthy (or not so healthy) lunch!

  • Are you sad to leave your dog at home while you’re at work? We feel you! Use our puppy-schedule so we ensure a dog-friendly office with lots of cuddles and play time!

Job requirements

We are looking for:

  • 3+ years of experience in a software development role;

  • At least 1 year of experience in a people management role;

  • Masters or Bachelors degree in a STEM field or equivalent in experience;

  • You get energy from coaching, supporting and helping people grow;

  • You have the ability to inspire, delegate & influence effectively;

  • You have great communication skills, both towards technical and non-technical parties;

  • You are passionate about technology. What unites us is our passion to build great products that delight our users. We want you to take on big technical challenges that substantially improve our products and our user’s workflows!

  • Knowledge & experience in Python, relational and No SQL databases, as well as working in cloud environments are a definitive plus.

We welcome:

  • A strong and proven background in processing, analysing and storing large datasets.