Level: Junior

Job Feld: IT, Data, DevOps

Anstellung: Vollzeit

Vertragsart: Unbefristetes Dienstverhältnis

Ort: Lienz

Arbeitsmodell: Hybrid, Onsite

Job Zusammenfassung

In dieser Rolle entwickelst du Datenpipeline auf Google Cloud, kümmerst dich um Datenintegration und -validierung, unterstützt neue Kunden bei der Einrichtung ihrer Datenflüsse und arbeitest eng mit verschiedenen Teams zusammen.

Job Technologien

Deine Rolle im Team

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.

Unsere Erwartungen an dich

Ausbildung

Education in computer science / software engineering / data engineering (HTL, university of applied sciences, university) or equivalent practical experience.

Qualifikationen

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.

Erfahrung

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).

Unser Angebot

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.