Remote Cloud Data Engineer: AWS Pipelines & Real-Time Data

Jobgether; Australia; On-site; AUD 90,000 - 140,000; Full time

Benefits offered by this job

Remote work

Analytics-focused environment

Exposure to AWS & data tooling

Job summary

Jobgether on behalf of partner company in Australia seeks a Data Engineer to build and modernize a cloud-first data platform. You will design reliable data pipelines, data warehouses, and APIs, working across batch and real-time workloads.

You will use AWS services (S3, Redshift, Glue, Lambda), Airflow, Kafka, and collaborate with analytics teams to deliver high-quality data solutions while improving reliability, security, and documentation.

Qualifications

• 2+ years of professional experience in data engineering.
• Strong SQL and Python programming skills.
• Hands-on experience with AWS services (S3, Redshift, Glue, Lambda).
• Experience with Apache Airflow for orchestration.
• Knowledge of data warehousing principles and modeling.
• Experience building production-grade pipelines with reliability and quality.
• Familiarity with relational and non-relational databases.
• Experience with GitLab CI/CD and API/data integrations.
• Excellent written and verbal communication; English at upper-intermediate or higher.
• Kafka experience is a plus.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Develop and optimize data warehouse solutions and models.
• Build data infrastructure on AWS and support legacy systems.
• Develop APIs and data integrations for cross-system data exchange.
• Contribute to real-time pipelines using Apache Kafka.
• Automate data processes and improve workflows.
• Monitor and improve reliability, performance, security, and quality.
• Collaborate with analytics teams to understand data requirements.
• Maintain documentation of pipelines and infrastructure.
• Contribute to modernization of legacy data processes and architecture.

Skills

SQL

Python

Airflow

Kafka

APIs

Data pipelines

Data warehousing

Git

CI/CD

Relational/NoSQL

Tools

AWS

S3

Redshift

Glue

Lambda

Kafka

GitLab

Job description

Jobgether on behalf of partner company in Australia seeks a Data Engineer to build and modernize a cloud-first data platform. You will design reliable data pipelines, data warehouses, and APIs, working across batch and real-time workloads.

You will use AWS services (S3, Redshift, Glue, Lambda), Airflow, Kafka, and collaborate with analytics teams to deliver high-quality data solutions while improving reliability, security, and documentation.