Level: Junior

Job Field: IT, Data, DevOps

Employment Type: Full Time

Contract Type: Permanent employment

Location: Lienz

Working Model: Hybrid, Onsite

Job Summary

In this role, you will develop data pipelines on Google Cloud, manage data integration and validation, support new customers in setting up their data flows, and collaborate closely with various teams.

Job Technologies

Your role in the 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.
Tägliche Zusammenarbeit mit den Backend-, Frontend- und CSM-Teams, um Datenanforderungen, Zeitpläne und Lieferungen abzustimmen.

This text has been machine translated. Show original

Our expectations of you

Education

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

Qualifications

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.
Vertrautheit mit Spanner-Datenmodellierung oder verteilten Datenbankkonzepten.
Basic understanding of CI/CD, Git workflows, and testing practices for data pipelines.

Experience

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).

This text has been machine translated. Show original

What we offer

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 the office 2 days per week.