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