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Data Engineer

Atlassian -
Canberra ACT

Quick Apply

Job Details

Permanent | Full-time
$93.21 - $132.32 an hour

Benefits

Health insurance
Dental insurance
Life insurance
Salary packaging

Qualifications

CI/CD
Performance tuning
Data modelling
Azure
Computer Science
Engineering
Google Cloud Platform
Apache Hive
SQL
AWS
Docker
Bachelor's degree
Terrafrom
Data pipeline
APIs
S3
Redshift
Communication skills
Analytics

Full Job Description

Data Engineer — Job Description

Summary

Designs, builds, and maintains scalable data pipelines and infrastructure to collect, store, process, and serve reliable data for analytics, BI, and machine learning.

Key Responsibilities

Design, develop, and maintain ETL/ELT pipelines to ingest structured and unstructured data from multiple sources.
Build and operate data warehouses, data lakes, and lakehouses; model data for analytical and operational use.
Implement batch and real-time streaming data processing using appropriate frameworks.
Ensure data quality, validation, provenance, and lineage; implement monitoring and alerting.
Optimize data storage, partitioning, and query performance for cost and speed.
Collaborate with data scientists, analysts, product, and engineering to define schemas, APIs, and SLAs.
Develop and maintain data ingestion, transformation, and orchestration workflows (scheduling, retries, backfills).
Implement security, access controls, and data governance practices (masking, encryption, auditing).
Troubleshoot production incidents, perform root‑cause analysis, and implement long‑term fixes.
Automate deployments, CI/CD pipelines, and infrastructure provisioning for data platforms.
Evaluate and pilot new data technologies and tools; drive migrations and upgrades.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience).
2+ years experience building production data pipelines and data platforms (adjust by seniority).
Strong programming skills in Python, Scala, or Java.
Experience with SQL and data modeling for analytics (star/snowflake schemas, dimensional modeling).
Familiarity with big‑data frameworks and ecosystems (Spark, Flink, Hadoop) and query engines (Presto/Trino, Hive).
Experience with cloud data services (AWS/GCP/Azure): data warehouses (Redshift, BigQuery, Snowflake), object storage (S3/GCS/Blob).
Experience with orchestration tools (Airflow, Prefect, Dagster) and message/streaming systems (Kafka, Pub/Sub).
Knowledge of data quality tools/practices, monitoring, and observability.
Strong problem‑solving, debugging, and communication skills.

Preferred Qualifications

Experience with MLOps/dataops and feature stores.
Familiarity with dbt, data catalogs, lineage tools (e.g., Amundsen, DataHub), and governance platforms.
Experience with Infrastructure as Code (Terraform, CloudFormation) and containerization (Docker, Kubernetes).
Advanced knowledge of performance tuning for large datasets and cost optimization.
Certifications in cloud platforms or data engineering.

Pay: $93.21 – $132.32 per hour

Benefits:

Dental insurance
Health insurance
Life insurance
Salary packaging

Work Location: In person

Quick Apply

Refine Your Search

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Data Engineer

Principal Business Analyst

Analyst Incident Management

Database Administrator

Demand Supply Planner and Inventory

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Cyber Security Analyst (SecOps & Culture)

Data Engineer - Consultant

Solution Architect

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Risk Control Analyst

Enterprise Governance and Partnerships - Levels 7-8 - Talent Register

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Portfolio Manager, Melbourne I Energy

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Principal Data Engineer

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