Senior Data Warehouse Engineer - Big Data, Flink

Binance; Gladstone Regional; Ibrido; AUD 150.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Work-from-home options

Competitive salary

Career growth

Learning opportunities

Descrizione del lavoro

Binance in Australia is seeking a senior data engineer to design and build scalable data warehouse solutions that support fast analytics and governance across the platform. You will work with Java/Scala/Python, Hive, Spark SQL, and real-time streaming pipelines while contributing to metadata management and data quality initiatives.

This role offers flexible work arrangements and opportunities to collaborate with cross-functional teams across the Binance ecosystem.

Competenze

• 5+ years hands-on data engineering experience.
• Expertise in data warehouse modeling and data governance.
• Proficiency in Java, Scala or Python and Hive/Spark SQL.
• Experience with OLAP engines and real-time streaming pipelines.

Mansioni

• Design and build scalable data warehouse systems in line with company standards.
• Develop data models, testing, deployment, and monitoring of data jobs; troubleshoot complex issues.
• Contribute to metadata management and data quality monitoring systems.
• Support knowledge sharing and team skill growth.

Conoscenze

Data engineering

Data warehouse design

Data modeling

Java/Scala/Python

Hive & Spark SQL

Streaming pipelines

Strumenti

Hadoop

Kafka

Airflow

Presto

Descrizione del lavoro

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.