Remote Senior Data Warehouse Engineer - Big Data & Flink

Binance; Alice Springs; Remote; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Work-from-home arrangement

Job summary

Binance is seeking an experienced Data Engineer to design and implement scalable data warehouse systems and support analytics across the business. You will own data modeling, development, testing, deployment, and real-time monitoring of data jobs while contributing to data governance and quality initiatives.

The role requires expertise in big data technologies (Hadoop, Hive, Spark, Flink, Delta Lake, Hudi, Presto), as well as experience with streaming pipelines and cloud-based data services.

Qualifications

• 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.

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.

Skills

Data engineering

Data lake

Data warehouse

Java/Scala/Python

Hive & Spark SQL

OLAP engines

Streaming pipelines

Flink/Kafka

Big data tech

Web3 data

AWS Big Data

System design

English/Mandarin

Education

Bachelor's degree in Computer Science

Tools

Hadoop

Hive

Spark

Flink

Kafka

Presto

Delta Lake

Hudi

Airflow

Zookeeper

Elasticsearch

Redis

Job description

Binance is seeking an experienced Data Engineer to design and implement scalable data warehouse systems and support analytics across the business. You will own data modeling, development, testing, deployment, and real-time monitoring of data jobs while contributing to data governance and quality initiatives.

The role requires expertise in big data technologies (Hadoop, Hive, Spark, Flink, Delta Lake, Hudi, Presto), as well as experience with streaming pipelines and cloud-based data services.