Job Opportunities API

In this role you will help shape the performance and architecture of our modern data stack, working with tools like AirFlow, Kafka, Python and Kubernetes to build scalable, high-impact data solutions in close collaboration with our engineering (backend, machine learning, etc) and non-engineering (such as marketing, finance, legal, etc) teams. About XITE It’s our mission to share our passion for music videos with the world and invite people to experience music beyond listening: to see your music. XITE is dedicated to building the best music video experience in the world. Based in Amsterdam, XITE now reaches 100 million households across North America and Europe. XITE delivers premium music video experiences across four core products: Global & International (Europe & North America) FAST (Free Ad-Supported Streaming TV): This rapidly growing global market offers themed music channels directly on smart TVs. Across Europe and North America, XITE is available with 26 different genre- and decade-based channels. Interactive TV App: Available on smart TVs in various countries throughout Europe and North America, this app features over 200 curated playlists for a personalized viewing experience. The Netherlands Linear Television: This is where the brand began in 2008. It is available specifically in the Netherlands through all major Dutch cable and fiber providers. XITE Music: A comprehensive collection of 51 non-stop audio channels, available exclusively for listeners in the Netherlands. About the role We are looking for a passionate Senior/Medior Data Engineer to join our team. You will be responsible for the overall performance and architecture of our Data Stack, as well as software and service development within the data domain. Our stack includes Python 3.14, Scala, Kafka, Airflow, ClickHouse, Docker, Bazel, Kubernetes, GCP, GitHub, CircleCI, Superset and many other, mostly open-source, technologies. Responsibilities  Design, develop, deploy, scale and maintain ETLs, AirFlow data pipelines and data services in production. Resolve problems, with end-to-end ownership of data quality in our core datasets and data pipelines. Design data models, tables, data structures, improve on data storage architecture and queries performance across various business domains within the company. Assist colleagues across technical challenges. Review, maintain, refactor and extend distributed systems in production. Support other teams for usage and integration with those systems. Maintain the technical excellence of the data and software engineering practice. Work with the Product Manager and other stakeholders, taking part in forming, prioritizing and executing data engineering backlog. Job requirements  3+ years of professional experience as a Data Engineer, Software Engineer, or similar role working with large-scale data systems and infrastructure. Bachelor’s degree in Software Engineering, Computer Science, or relevant field, or equivalent practical experience. Proficiency in Python and/or Scala with strong software engineering skills. Experience designing, building, and optimizing large-scale data pipelines in distributed environments using tools such as Kafka, ClickHouse, ElasticSearch, Cassandra, Spark, etc. Deep understanding of data architecture principles, including replication, sharding, consistency, scaling (horizontal and vertical), quorum, and idempotency. Proven ability to improve pipeline performance, cost-efficiency, and usability. Experience mentoring team members and leading technical projects is a plus. Basic knowledge of analytics and machine learning concepts is a plus. Excellent analytical, communication skills, and fluent in English (both spoken and written). Our tech stack Python, Scala. AirFlow, Kafka, ClickHouse, GCP. Bazel, Docker, Kubernetes.