Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 70.000 to 75.000€ Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop robust and scalable streaming and batch data pipelines using Databricks on Azure and Cloudera, collaborate closely with various teams, and contribute to the enhancement of the data infrastructure.
Job Technologies
Your role in the team
- 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.
- 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.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- 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).
- Familiarity with CI/CD workflows for data engineering (e.g., using Azure DevOps or GitHub Actions).
- 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).
Experience
- 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.
- Experience in developing data pipelines using the Cloudera stack is a huge plus.
- Experience in online gaming, entertainment, or e-commerce industries.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
Food & Drink
Work-Life-Integration
Job Locations
Location Vienna
Austria
Topics that you deal with on the job
This is your employer
Greentube Internet Entertainment Solutions GmbH
Raaba-Grambach, Wien
Greentube is a global leader in online and mobile gaming, offering innovative solutions that set the standard for the industry. With more than two decades of experience, Greentube has become the go-to provider for gaming excellence.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.5
Workingconditions
4.3Engineering
3.0Culture
4.0Career Growth
3.0
Real-Time Data Engineer
- Salary
- 70.000 to 75.000€ Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
