Data Platform Backend Engineer 17640
Veritaz AB
📍 Sverige
⏰ Heltid
📋 Tidsbegränsad anställning
🗓 Ansök senast 7 juni 2026
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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
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