Real-Time Data Engineer - Kafka, ClickHouse & ETL (Hybrid)

Imc; Sydney; Hybrid; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid work

Career growth

Snacks & beverages

Healthcare coverage

Flexible dress code

Young culture

Job summary

TMGM is seeking a Senior Data Engineer to lead the architecture, scalability, and reliability of a high-throughput real-time data ecosystem. You will oversee data infrastructure evolution using Kafka, RabbitMQ, Airflow, and ClickHouse to power mission-critical financial analytics.

You will bridge business requirements with high-performance engineering, ensuring pipelines handle the rigours of real-time financial data processing while collaborating with leadership and mentoring junior engineers.

Qualifications

• 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.

Responsibilities

• Lead the design and evolution of 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.

Skills

Python programming

SQL

Data engineering

Problem solving

Team collaboration

Education

Bachelor's/Master's in CS/Engineering

Tools

Kafka

RabbitMQ

Airflow

ClickHouse

Job description

TMGM is seeking a Senior Data Engineer to lead the architecture, scalability, and reliability of a high-throughput real-time data ecosystem. You will oversee data infrastructure evolution using Kafka, RabbitMQ, Airflow, and ClickHouse to power mission-critical financial analytics.

You will bridge business requirements with high-performance engineering, ensuring pipelines handle the rigours of real-time financial data processing while collaborating with leadership and mentoring junior engineers.