Data Platform Backend Engineer 17640

Publicerad

2026-05-08

Ansök senast

2026-06-07

Om jobbet

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

Veritaz AB