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Open nowPosted 69 days ago

Senior Data Engineer - Sydney

Workable (global search)109,826 open roles

Where
Sydney, NSW, Australia
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Your applicationOpen nowSenior Data Engineer - SydneyWorkable (global search) · Sydney, NSW, Australia

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 2 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 69 days ago

Workable (global search) median: 2 days open

The posting

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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