Senior Data Engineer
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Before you apply
LocationSydney, New South Wales, Australia
Work modehybrid
Typefull-time
SenioritySenior
Company size501–1,000 people
PostedMar 3, 2026 · 8mo ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Mar 3, 202657% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Proven experience in data engineering, with a strong background in designing and implementing ETL processes within cloud environments
Experience within the Finance or Trading technology sector, with a proven track record of handling real-time market or transactional data
Strong programming skills in Python, with experience in developing robust, maintainable, and scalable data processing pipelines
Extensive SQL knowledge and experience
Excellent problem-solving skills
Ability to work collaboratively in a team environment
Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
Lead the design and evolution of highly scalable, fault-tolerant ETL/ELT pipelines
Drive the strategy for real-time messaging and stream processing using Kafka and RabbitMQ to ensure sub-second data availability
Act as the subject matter expert for ClickHouse, optimising complex schema designs, indexing strategies, and query performance for large-scale financial datasets
Oversee the deployment of data services within cloud environments, implementing advanced security protocols and data governance standards essential for the finance industry
Collaborate with senior leadership to align data strategy with business objectives
Mentor data engineers through code reviews and technical guidance
Implement advanced monitoring and automated recovery systems to ensure the integrity and quality of high-stakes financial data
Skills
Kafka
RabbitMQ
Airflow
ClickHouse
Python
SQL
Benefits
Hybrid work
Career growth
Snacks and beverages
Health insurance
Gym benefits
Casual dress code
About The Company
TMGM is one of the fastest-growing CFD and Forex brokers in the Asia-Pacific region, trusted by over 150,000 clients globally. With a strong focus on innovation, client satisfaction, and regulatory compliance, we continue to expand our presence across international markets.
About The Role
As a Senior Data Engineer, you will be a technical leader responsible for the architecture, scalability, and reliability of our high-throughput, real-time data ecosystem. You will oversee the evolution of our data infrastructure, leveraging Kafka, RabbitMQ, Airflow, and ClickHouse to power mission-critical financial analytics. Your role is to bridge the gap between complex business requirements and high-performance engineering, ensuring our data pipelines can handle the rigours of real-time financial data processing.
Requirements
Key Responsibilities:
•
Lead the design and evolution of highly scalable, fault-tolerant ETL/ELT pipelines.
•
Dive the strategy for real-time messaging and stream processing using Kafka and RabbitMQ to ensure sub-second data availability.
•
Act as the subject matter expert for ClickHouse, optimising complex schema designs, indexing strategies, and query performance for large-scale financial datasets.
•
Oversee the deployment of data services within cloud environments, implementing advanced security protocols and data governance standards essential for the finance industry.
•
Collaborate with senior leadership to align data strategy with business objectives. Mentor data engineers through code reviews and technical guidance.
•
Implement advanced monitoring and automated recovery systems to ensure the integrity and quality of high-stakes financial data.
Requirements:
•
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
•
Proven experience in data engineering, with a strong background in designing and implementing ETL processes within cloud environments.
•
Experience within the Finance or Trading technology sector, with a proven track record of handling real-time market or transactional data.
•
Strong programming skills in Python, with experience in developing robust, maintainable, and scalable data processing pipelines.
•
Extensive SQL knowledge and experience.
•
Excellent problem-solving skills and the ability to work collaboratively in a team environment.
•
Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Benefits
•
Hybrid working arrangement - 2 Days of remote work per week
•
Opportunities for enriching career growth, including exposure to regional contexts
•
Complimentary snacks and beverages available in the office pantry
•
Healthcare coverage (medical, dental, optical), gym benefits
•
Flexibility in smart casual dress code
•
Young, vibrant and open work culture