Junior Data Engineer

• As a Junior Data Engineer, you will help develop and operate data pipelines on Google Cloud (BigQuery, Spanner, Cloud Storage, Pub/Sub, Dataflow, Composer/Airflow).
• Building new data loads and integrations, including ingesting, transforming, and validating data from customer systems.
• Monitoring and improving data quality, implementing checks, alerting, and documentation to ensure reliable datasets.
• Supporting onboarding of new customers, helping to set up data flows, validate outputs, and ensure smooth go-live.
• Helping resolve technical support tickets, investigating issues, identifying root causes, and collaborating on fixes.
• Acting as a technical customer success partner, translating customer needs into technical actions and providing clear, professional communication.
• Collaborating daily with backend, frontend, and CSM teams to align data requirements, timelines, and delivery.

• Education in computer science / software engineering / data engineering (HTL, university of applied sciences, university) or equivalent practical experience., * Solid fundamentals in SQL (querying, joins, data modeling basics) and Python (scripting, data processing, debugging).
• Exposure to Google Cloud and cloud concepts (IAM basics, storage, batch/stream processing) or strong motivation and ability to learn quickly.
• A structured approach to problem solving and an interest in data quality, reliability, and operational excellence.
• Comfortable working in an Agile environment with changing priorities and iterative delivery.
• Team-first mindset, strong collaboration skills, and a willingness to ask questions, learn, and improve. Good English skills, both spoken and written, to communicate with international colleagues and customers.
• Familiarity with Spanner data modeling or distributed database concepts.
• Basic understanding of CI/CD, Git workflows, and testing practices for data pipelines., * First hands-on experience (e.g., 1-2 years, internships, or strong project work) in data engineering, analytics engineering, or software engineering.
• Nice to have experience with Cloud Composer / Apache Airflow (DAGs, scheduling, retries, backfills).
• Experience with Dataflow / Apache Beam concepts (batch/stream, windowing, transforms).

• Attractive benefits, an open and supportive environment, and a modern workplace.
• Regular collaboration with global teams as our business continues to grow.
• Tangible development: learning, mentorship, and opportunities to grow into deeper engineering ownership.
• Flexible working and guidance to progress your career.
• A collaborative office environment with team members in office 2 days per week.

OpenBet bietet als B2B-Unternehmen Technologieplattformen für Sportwetten und Gaming an, die von über 200 Betreibern weltweit genutzt werden.