Senior Data Engineer
TMGM (Trademax Global Limited / Trademax Australia Limited) is an online CFD and forex broker offering trading in Forex, Precious Metals, Cryptocurrencies, Oil, Shares and Indices. It serves retail investors globally, providing platforms like MetaTrader 4/5 and its own TMGM app, with competitive spreads, high leverage, and various account types including cent accounts.
About TMGM
TMGM is a global online trading broker operating under Trademax Australia Limited (regulated by ASIC, AFSL no. 436416, based in Sydney, NSW, Australia) and Trademax Global Limited. The company offers CFD trading across six asset classes—Forex, Precious Metals, Cryptocurrencies, Oil, Shares, and Indices—via industry-standard platforms such as MetaTrader 4 and MetaTrader 5, as well as its own TMGM mobile app. It serves retail traders and investors in over 150 countries (excluding the US, Malaysia and Thailand), offering features like tight spreads from 0.0 pips, leverage up to 1:1000, minimum deposits as low as $15-$100, fast execution, segregated client funds, and multiple funding options with no fees. TMGM also provides educational resources including a trading academy, webinars, market news and analysis, and runs promotions such as trading competitions, referral bonuses, and cashback programs. The company has sponsorship partnerships with Chelsea FC and the Brooklyn Nets, and has received numerous industry awards for broker services, trading platforms, and customer support across the Asia-Pacific region.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will be a technical leader responsible for the architecture, scalability, and reliability of a high-throughput, real-time data ecosystem. You will oversee the evolution of data infrastructure using Kafka, RabbitMQ, Airflow, and ClickHouse to power mission-critical financial analytics and ensure pipelines support real-time financial data processing.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Proven data engineering experience designing and implementing ETL processes in cloud environments
- Experience in finance or trading technology handling real-time market or transactional data
- Strong Python programming skills for scalable data processing pipelines
- Extensive SQL knowledge and experience
- Excellent problem-solving and collaboration skills
- Strong communication skills for explaining technical concepts to non-technical stakeholders
Responsibilities
- 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
- Act as the subject matter expert for ClickHouse, optimizing schemas, indexes, and query performance
- Oversee deployment of data services in cloud environments with security and data governance standards
- Collaborate with senior leadership to align data strategy with business objectives
- Mentor data engineers through code reviews and technical guidance
- Implement monitoring and automated recovery systems for financial data integrity
Benefits
- Hybrid working arrangement with 2 days of remote work per week
- Opportunities for career growth and exposure to regional contexts
- Complimentary snacks and beverages in the office pantry
- Healthcare coverage including medical, dental, and optical benefits
- Gym benefits
- Smart casual dress code
- Young, vibrant, and open work culture