Data Engineer

Posted 24 January 2024
Salary €70000 - €85000 per annum, Benefits: EGYM Wellpass, your dream bike, great pension
Job type Permanent
Discipline Data
Contact NamePoppy Nabbs

Job description

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.


Location: Austria (you must either live in Austria or be willing to relocate to Austria)
Salary: Up to €85,000
Hybrid (2x a month)
German and English to a professional level

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
  • 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
  • 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