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