Data Engineer

Digital Waffle is excited to be partnered with an innovative and forward-thinking consultancy in Austria, who are looking for a talented Data Engineer to join their growing data team.

ABOUT THE JOB

📍 Location: Austria

Salary: Up to €85,000

Hybrid (2x a month)

You will be responsible for:

• Conception and realization of Big Data & AI solutions in a petabyte scale
• Deployment and operation of Big Data & AI solutions on cloud platforms like AWS, AZURE, VMWare and Kubernetes
• Implementation of data pipelines, ETL routes and migration of existing DWH/DL systems
• Advising teams, including C-level teams, on the use of data engineering and data analytics
• Ensure close collaboration with other evoila teams and understanding of their concepts and solutions
• Support in sales by building and maintaining customer relationships
• Ensuring a long-term and cooperative relationship with our customers

You must have:

• University degree in computer science, e-technology, physics or mathematics.
• Alternatively: completed training as an IT specialist (m/f/d) for system integration/application development and proven professional experience
• Knowledge in Big Data architectures: AWS, Azure or on on-premise Cloudera distributions.
• Experience using technologies such as: Python, Spark, Hadoop, Kafka, Airflow.
• Hands-on experience with Docker and CI&CD.
• Strong programming ability
• Analytical/conceptual skills
• Ability to work in a team, and customer focus
• Fluent German and good English

Desirable:

• Hands-on experience implementing Data Lake/Hadoop platforms
• Hands-on experience implementing and performance-tuning Hadoop/Spark implementations
• Proficient in database architecture and operations such as MongoDB, MySQL, and PostgreSQL
• Experience with one or more relevant tools (Sqoop, Nifi, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr)
• Experience with one or more SQL MPP technologies (Hive, Impala, Spark SQL, Presto, Trino)
• Experience in developing software code in one or more programming languages (Java, Python, Scala, etc.)
• Experience with AWS services such as Glue, EMR, Athena, Kinesis, S3, Sagemaker, Lambda functions
• Experience with Azure services
• Stakeholder management and customer-facing skills