Senior Data Engineer - Sydney
TMGM Open · verified Oct 24, 2026 At a glance
Senior Data Engineering role at TMGM. Sydney · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Design ETL and ELT pipelines that scale and keep working through failures
- Set up Kafka and RabbitMQ streaming so data is available in under a second
- Tune ClickHouse schemas, indexes and queries for large financial datasets
- Deploy cloud data services with finance-focused security controls and governance
- Guide engineers through code reviews, monitoring and recovery work
What you bring
- A computer science, engineering or related degree at bachelor’s or master’s level
- Hands-on data engineering experience building ETL workflows in cloud environments
- Background in finance or trading technology, working with live market or transaction data
- Strong Python and SQL skills for building reliable, maintainable data pipelines
Who this fits
You’ll suit a senior technical role that combines data architecture with hands-on pipeline work and mentoring engineers. The role is based in Sydney and offers two remote days each week.
From the employer
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
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