Senior Data Engineer Trading Desk
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 design, develop, and improve scalable ETL and ELT pipelines and real-time messaging solutions. You will optimize ClickHouse data models and queries, deploy secure cloud data services, implement monitoring and recovery systems, and translate business needs into high-performance data solutions.
Requirements
- Data engineering.
- ETL.
- Cloud environments.
- Finance technology.
- Trading technology.
- Real-time market data.
- Transactional data.
- Python.
- SQL.
- Data processing pipelines.
- Problem-solving.
- Communication skills.
Responsibilities
- Design, develop, and improve scalable, fault-tolerant ETL and ELT pipelines.
- Build and maintain Kafka and RabbitMQ streaming solutions.
- Optimize ClickHouse schemas, indexes, and query performance.
- Deploy and maintain cloud data services with security controls and data governance.
- Translate business objectives into practical data solutions.
- Support data engineers through code reviews and technical guidance.
- Implement monitoring and automated recovery systems for financial data.
Benefits
- Performance-based bonuses.
- Health and wellness benefits.
- Flexible working arrangements.
