In-Demand Senior data warehouse engineer big data, flink Jobs in Melbourne University Vic

Senior Data Warehouse Engineer - Big Data, Flink
Binance —Melbourne VIC
- Full-time
- Remote
- Bilingual
- SQL
- AWS
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Senior Data Engineer (Snowflake and DBT)
InfoCentric —Melbourne VIC
- Full-time
- Azure
- SQL
- AWS
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Kafka Architect
Tata Consultancy Services —Melbourne VIC
Senior Software Engineer (Big Data, Search)
Binance —Melbourne VIC
- Full-time
- Remote
- Systems design
- Master's degree
- AI
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Kafka Senior Developer
Tata Consultancy Services —Melbourne VIC
- SQL
- APIs
Senior Data Engineer
Ippon Technologies —Melbourne VIC
- Hybrid work
- SQL
- Software development
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Senior Specialist - Logistics
On AG —Melbourne VIC
- Management
- ERP systems
- Budgeting
9d
Azure Data Engineer
InfoCentric —Melbourne VIC
- Full-time
- Azure
- Salesforce
- SQL
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Azure Fabric Data Engineer
AI Talent —Melbourne VIC
- $70,000 - $120,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
- Work from home
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Senior Data Architect (AWS) | AI & Data
Deloitte —Melbourne VIC
- Salesforce
- SQL
- AWS
- Parental leave
Java/ Data Backend Engineer (Flink, Spark) - Trading Insights
Binance —Melbourne VIC
- Full-time
- Remote
- Computer Science
- Engineering
- Master's degree
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Data Scientist, Market Growth (Lifecycle)
Binance —Melbourne VIC
- Full-time
- Remote
- Computer Science
- Master's degree
- SQL
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Java Backend Engineer (AI/LLM Chatbot, Customer Service)
Binance —Melbourne VIC
- Full-time
- Remote
- Computer science
- Computer Science
- Engineering
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Senior Data Warehouse Engineer - Big Data, Flink
Binance —Melbourne VIC
5+ years of hands-on experience in data engineering, data lake, or data warehouse development. Experience in Web3 data domains (on-chain/off-chain data, token/…
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Kafka Architect
Tata Consultancy Services —Melbourne VIC
Design and build stream processing applications using Flink, Kafka Streams (KStreams) or equivalent frameworks (Spark Streaming, Google Dataflow, etc.).

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senior data warehouse engineer big data, flink jobs near melbourne university vic

Senior Data Warehouse Engineer - Big Data, Flink

Binance -
Melbourne VIC

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Job Details

Full-time

Qualifications

Bilingual
Mandarin
Data modelling
Data lake
Multilingual
Big data
Apache Hive
SQL
AWS
Analysis skills
HBase
Redis
Scalability
Business requirements
AI
Data warehouse

Full Job Description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Responsibilities

Design and build a scalable and flexible data warehouse system in line with the company’s standards and business requirements, enabling rapid support for analytical needs and reducing redundant development efforts.
Responsible for data model design, development, testing, deployment, and real-time monitoring of data jobs, with strong capability in troubleshooting complex issues, optimizing calculation logic, and enhancing performance.
Contribute to data governance initiatives, including the development of the company’s metadata management and data quality monitoring systems.
Support technical team development through knowledge sharing, continuous learning, and skill enhancement, fostering the team’s overall growth and expertise.

Requirements

5+ years of hands-on experience in data engineering, data lake, or data warehouse development.
Deep expertise in data warehouse modeling and governance, including dimensional modeling, information factory (data vault) methodologies and “one data” principles.
Proficiency in at least one of Java, Scala or Python, plus strong Hive & Spark SQL programming skills.
Practical experience with OLAP engines (e.g., Apache Kylin, Impala, Presto, Druid) and real-time serving systems.
Proven track record of both high-throughput batch pipelines and low-latency streaming pipelines (e.g., Flink, Kafka), with production SLAs for stability, availability, and sub-second freshness.
Familiarity with core Big Data technologies (Hadoop, Hive, Spark, Flink, Delta Lake, Hudi, Presto, HBase, Kafka, Zookeeper, Airflow, Elasticsearch, Redis).
Experience in Web3 data domains (on-chain/off-chain data, token/transaction/holder analytics) and ability to design data services powering online applications.
AWS Big Data service experience is a plus.
Strong analytical and system-design capabilities, with a clear understanding of business requirements into scalable, high-quality data architecture.
Collaborative mindset, skilled at building partnerships across teams and stakeholders.
Preferred: Experience managing petabyte-scale data in Internet environments and resolving critical real-time production incidents.
Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.

Why Binance

Shape the future with the world’s leading blockchain ecosystem
Collaborate with world-class talent in a user-centric global organization with a flat structure
Tackle unique, fast-paced projects with autonomy in an innovative environment
Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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senior data warehouse engineer big data, flink jobs in melbourne university vic

Senior Data Warehouse Engineer - Big Data, Flink

Senior Data Engineer (Snowflake and DBT)

Kafka Architect

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Senior Specialist - Logistics

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Azure Fabric Data Engineer

Senior Data Architect (AWS) | AI & Data

Java/ Data Backend Engineer (Flink, Spark) - Trading Insights

Data Scientist, Market Growth (Lifecycle)

Java Backend Engineer (AI/LLM Chatbot, Customer Service)

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