Senior Data Engineer en hibrido. Your new company The company develops data and engineering driven software solutions for airlines' technical operations. Our international agile teams develop and operate every step of the way - from data acquisition to prediction and optimization solutions.
Your responsibilities will include Developing new data pipelines and scaling the existing ones for a growing number of customers and use cases.Using technologies like Python, Terraform, Kubernetes, and Pub/Sub to run event-based data pipelines processing millions of new data points every day on the Google Cloud Platform.Rolling out new features multiple times a day through fully automated Infrastructure as Code and CI/CD pipelines including code reviews and automated tests.Taking responsibility for the full DevOps cycle while spending most of our time working on new features and architecture optimisations.What we are looking for Completed degree in computer science or related subject.Min. 4 years of experience in data engineering (setting up operating data pipelines in big data/analytics environments).Min. 2 years of experience with one or more of the major cloud providers (ideally GCP).Experience in software development with Python, knowledge of tools such as Jupyter, VS Code, PyCharm, git, virtual environments, CLI.Knowledge of automated testing, CI/CD build pipelines, monitoring.Confident application of DevOps/SRE principles.Experience with technologies such as Kubernetes/OpenShift, Docker, SQL/NoSQL databases, messaging, Airflow, Apache Beam.Knowledge of event-driven architectures is beneficial.What we offer Company events and sports competitions.Discounts on flights and other purchases.Base salary plus variable.Flexibility and hybrid model (3 days in the office).
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