Ontruck is transforming the road transportation industry, €600 billion just in Europe. We make trucking simple, transparent and on-demand.
Ontruck is a B2B logistics platform, connecting companies looking to move pallets with our network of carriers. We offer shippers a web platform to make the process of finding the right truck quick and simple with built-in track and trace. Carriers are able to accept shipments through a mobile app, letting them grow and manage their business with ease.
Our team has deep experience in building great products and companies. We know success, we know failure; we have built platforms from scratch, we have deal with large legacy systems. We care about each other and about the product and services we are building.
Ontruck is backed by the top investors in Europe.
To learn more, visit www.ontruck.com.
DevOps for Data at Ontruck
You will support building and integrating systems, bring up new server components and ensure a secure and reliable service.
- Guide and assist the Data Team about data infrastructures and systems.
- Work with QA to ensure that we have the best practices in deployment
- Continuously improve visibility with application and system monitoring, metrics and log analysis
- Help manage release processes and workflows
- Improve operational tools to detect and respond rapidly to incidents and issues
Our Data Platform
At Ontruck, our data platform exposes a data lake to the Data Analytics and Data Science teams. The data lake is meant to be a place of discovery for these teams.
More broadly within Ontruck, our data platform exposes a data warehouse of tables that are structured to be queried quickly and only contain a subset of all the data in the lake. For Ontruck, all of our data goes through the lake before it gets to the warehouse, and only the data that we know is useful and worth cleaning gets to the warehouse.
These tables are meant to be more easily understood and allow for varying levels of access to sensitive data through different schemas.
The warehouse has been cleaned for us; it’s in tables that make sense for known use cases, and you can get answers out of it quickly.
What you will be doing day to day:
- Build, maintain, and orchestrate all the components in our platforms, mainly focused in data platform.
- Develop our data platform infrastructure carrying out and reporting on proofs of concept over different tools and ideas. We live in the Google Cloud Platform, we use Terraform as infrastructure as code, and we orchestrate with a Kubernetes cluster.
- Improve, maintain, and expand our data processes. At Ontruck we use a mix of tools in constant evolution; Streamsets, Tableau, Airflow, Superset, Druid, Spark, MLeap, Tensorflow.