Senior Data Engineer in Austria

We are currently looking for Data Engineers to assist in developing intelligent solutions that enable our customers to accelerate discovery, acquire clinical insights, and address R&D challenges.

Responsibilities:

• Manage all AWS infrastructure and components, including DynamoDB, Lambdas, Kinesis, CloudWatch, REST API, S3 Storage, and Databricks
• Build data systems and pipelines
• Design end-to-end pipelines using AWS, Python, SQL, etc.
• Data organization and analysis: handle structured, semi-structured, unstructured, and image-based data
• Prepare data for prescriptive and predictive modeling
• Collaborate with data scientists and architects across various projects

What we expect:

• Solid Data Engineering experience utilizing designated technologies and tools
• Profound knowledge and hands-on experience with Databricks Expertise with AWS services essential for Data Engineering: AWS Glue, AWS Lambda, S3, RDS, Redshift, Athena, Kinesis, Dynamo DB, etc
• Strong upper-intermediate or higher (B2+) proficiency in English
• Solid analytical and problem-solving skills
• Frequent visits to the client's office in Vienna

We Offer:

• 3-4 months contract with possible extension based on project needs and performance
• Competitive compensation
• Flexible working hours
• A team with an excellent tech expertise