Data Engineering Specialist

1 week ago

Melbourne, Victoria, Australia Bebeedataengineering Full time

Job Title:
Data Engineering Specialist
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About the Role:
The data acquisition team is responsible for ingesting, validating, and orchestrating raw data from internal systems and third-party providers. As a software engineer, you'll play a key role in designing and building robust, scalable, and extensible pipelines that feed the entire data ecosystem.
You'll work across multiple data domains and ingestion patterns – batch, streaming, and event-driven – while ensuring quality, performance, and governance are embedded in every step. This team builds the foundation of WEX's data platform transformation, and every pipeline you create contributes directly to powering analytics, automation, and product intelligence across all business domains.
If you're passionate about scaling data platforms from the ground up, this is your chance to help shape how Wex leverages its most valuable asset: data.
Responsibilities:
Build and maintain high-performance data acquisition pipelines that integrate with various systems.
Contribute to the development of a modular ingestion platform that enables reusability, reliability, and observability at scale.
Implement core pipeline components such as schema validation, transformation orchestration, error handling, and audit logging.
Support batch and streaming ingestion flows, ensuring the platform meets varying latency and volume requirements across business units.
Ensure traceability, lineage, and security through integration with control plane and governance systems.
Participate in code reviews, design sessions, and incident resolution – promoting high standards for code quality and operational reliability.
Requirements:
4–8 years of experience as a software or data engineer, ideally in high-volume or distributed systems environments.
Strong programming skills in Python, Java, Scala, or another systems-focused language.
Experience with data integration and ingestion pipelines – you understand what it means to bring data in from source systems, transform it, and deliver it reliably downstream.
Solid grasp of engineering fundamentals, including version control, modular design, testing, and performance tuning.
Familiarity with concepts like schema evolution, event-driven architectures, observability, and role-based access control.
A collaborative mindset – comfortable working across domains, products, and infrastructure layers.
A strong sense of ownership and accountability – you care deeply about building systems that last.

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