Our Real-Time Data Engineering team provides low-latency, high-throughput pipelines that serve operational and analytical use cases as well as front-end features
We are currently expanding our data ecosystem by integrating Databricks to complement our existing Cloudera infrastructure. To support this initiative, we are looking for an experienced Data Engineer with a strong background in Databricks to join our team.
We are a small, collaborative, international team that values humor, curiosity, and continuous learning. We approach challenges with a growth mindset, celebrate progress, and focus on accountability without blame.
Your tasks
* Design and implement robust, scalable, and low latency streaming and batch data pipelines using Databricks on Azure
* You may also develop some real-time data pipelines using Cloudera tools such as NiFi, Kafka, Spark, Kudu, and Impala
* Collaborate with data scientists, analysts, third party tools, front- and backend engineers, and product managers to deliver reliable, high-quality data products
* Contribute to continuous improvements in infrastructure, automation, observability, and deployment practices
* Document as needed and share knowledge with other team members
* Be part of a monthly on-call rotation (1 week per month) to support the stability of our real-time data infrastructure
Your profile
Required Qualifications:
* 1+ years of experience with Databricks, including development of production-grade pipelines (streaming or batch)
* Strong experience with the Azure cloud ecosystem, including Azure Data Lake and Azure DevOps
* Experience working with real-time data technologies such as Kafka, Spark Structured Streaming
* Familiarity with the medallion architecture and best practices for Delta Lake
* Proficiency in Python or Scala for data engineering tasks
* Proficiency working with SQL and query optimization
* Willingness to be part of an on-call support rotation (1 week/month)
* Fluent and comfortable in English (written and spoken)
* Excellent communication skills (clear & to the point, audience aware)
Nice-to-Have:
* Experience in developing data pipelines using the Cloudera stack is a huge plus
* Familiarity with CI/CD workflows for data engineering (e.g., using Azure DevOps or GitHub Actions)
* Experience in online gaming, entertainment, or e-commerce industries
* Knowledge of data governance, schema evolution and handling GDPR/data privacy in data pipelines
* Understanding of observability tools for data pipelines (e.g., logging, alerting, and metrics systems)
Our offer
* Flexible working hours, hybrid work model, and a healthy work-life balance culture
* Training budget to support your personal and professional growth
* Daily fresh fruits, a wide selection of teas, fair trade coffee, and an in-house canteen at our Vienna HQ
* Subsidized public transportation, plus access to pool e-bikes and e-cars for both business and personal use
* On-site fitness room, MyClubs app points, along with fun sport- and company events
* A wide range of local employee discounts, offers, and healthcare benefits
* We are proud to offer a competitive base salary range of EUR gross/year (paid in 14 salaries), thoughtfully designed to align with industry standards, taking into consideration the candidate's qualifications, skills, and relevant experience
About Greentube
Greentube GmbH, the global interactive unit of NOVOMATIC, is a leading developer and supplier of iGaming solutions. Greentube is a wholly-owned subsidiary of the NOVOMATIC Group, one of the biggest producers and operators of gaming technologies and one of the largest integrated gaming companies in the world. Greentube's industry leading omni-channel technology allows the convergence of online, mobile and land-based games. The well-diversified product portfolio includes Classic Slots, Table Games, Live Dealer Gaming, AWP Reloaded Slots, Server-Based Gaming, Social Casino Gaming, Bingo and more.
Greentube GmbH
Wiedner Hauptstraße 94, 1050 Wien