Senior Hybrid Data Engineer: Reliability & Analytics

Alegeus; Maitland; Hybrid; AUD 127,000 - 216,000; Full time

Benefits offered by this job

Flexible work environment

Competitive salaries, paid vacation, &

Professional development programs

Comprehensive health, wellness, and 금융

Job summary

Alegeus is seeking a Sr. Data Engineer to design and scale data platforms and services that enable consistent, accurate reporting and data-driven decision-making across the organization.

You'll build modern Java-based microservices and APIs, migrate reporting solutions to a unified self-service platform, and collaborate with engineering, analytics, and business teams to deliver high-performance data solutions. Hybrid in-office work across hubs is offered.

Qualifications

• 5+ years of software engineering experience with strong expertise in Java, Spring, Kafka, SQL, and Spark.

Responsibilities

• Design and build scalable data pipelines that capture, refresh, validate, and reconcile data across distributed systems, ensuring accuracy, traceability, and reliability.

Skills

Distributed data platforms

Java

Spring

Kafka

SQL

Spark

REST APIs

Microservices

Data quality

CI/CD

Education

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field

Tools

Docker

Kubernetes

Snowflake

Spark

Kafka

SQL

Java

Spring

Job description

Alegeus is seeking a Sr. Data Engineer to design and scale data platforms and services that enable consistent, accurate reporting and data-driven decision-making across the organization.

You'll build modern Java-based microservices and APIs, migrate reporting solutions to a unified self-service platform, and collaborate with engineering, analytics, and business teams to deliver high-performance data solutions. Hybrid in-office work across hubs is offered.