Data Platform Backend Engineer 17640

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are looking for an experienced Data Engineer for a high-priority and execution-focused assignment within Data Infrastructure.

What You Will Work On

• Develop and migrate large-scale data pipelines and platform solutions
• Work hands-on with data infrastructure implementation and modernization
• Support migration of workloads to new data platforms
• Validate performance, scalability, and cost efficiency of data workloads
• Develop solutions using Flink, Lakehouse technologies, and related frameworks
• Work with cloud infrastructure and containerized applications
• Contribute to DevOps-driven development and deployment processes
• Ensure high code quality and stable production deliveries
• Collaborate within fast-moving and execution-focused engineering teams

What You Bring

• Strong expertise in Java development
• Experience working with data platforms or data engineering solutions
• Practical experience with at least one JVM-based data processing framework such as Flink, Beam, Dataflow, or Spark
• Strong SQL skills and experience with cloud-based analytics platforms, especially BigQuery
• Experience working with DevOps practices, cloud infrastructure, and containerized applications
• Basic Kubernetes knowledge
• Experience developing data engineering pipelines in Scala and/or Python
• Strong understanding of code quality and stable production delivery practices
• Ability to work independently and drive initiatives in changing environments
• Strong problem-solving and execution capabilities