Data Engineer

Role: Data Engineer (Transport Focus) Seniority: Regular, Regular+, or Senior Client: A technology company building and optimising a highly scalable Data Mesh that powers cross-product use cases across their platform. Client Location: Ireland Work Location : Poland Project Description: Development and optimisation of a Data Mesh supporting use cases across various products within the client’s platform. The work involves building and maintaining large-scale data processing infrastructure and data transformation logic. This is a critical, hands-on engineering role focused on building and optimising ahighly scalable and reliable Data Mesh that powers cross-product use cases across the platform. The engineer will build and support large-scale data processing infrastructure and transformation logic. Tech Stack: Core Technologies: Apache Spark – deep, proven experience required, including: Deployment, management, and cost optimisation of Spark clusters Writing high-performance Spark ETL jobs Ideally, experience writing to large analytical tables (e.g., Apache Iceberg) Infrastructure as Code (IaC): Terraform, experience with AWS CI/CD: Jenkins Testing: Unit, Integration, and End-to-End testing Team Structure: The overall project is quite extensive; however, this particular team consists of 6 FTEs: • 3x Data Engineers • 1x Data Operator • 2x Python Developers Working Hours: EU timezone Language Level: Excellent verbal and written communication skills required – ability to clearly communicate technical decisions to Project Managers and Operational Teams. Additional Information: • Background check required Key candidate traits: Exceptional analytical and problem-solving skills Ability to debug complex cross-service issues Strong adherence to Clean Code principles Originally posted on Himalayas