Senior Data Engineering Specialist

4 weeks ago

Sydney, New South Wales, Australia Tibra Capital Full time
  • Role Overview:
  • As a Senior Data Engineer at Tibra Capital, you will play a crucial role in designing, building, and maintaining robust data infrastructure and pipelines to support our trading strategies and operations.
  • Key Responsibilities:
    • Design and develop Tibra's data pipelines to support real-time trading systems and analytics.
    • Collaborate with quantitative researchers, traders, and developers to understand data requirements and implement efficient solutions.
    • Evolving Tibra's data models and pipeline and systems architecture.
    • Perform and automate day-to-day data operations (DataOps).
    • Troubleshoot data issues and maintain reliability across our data assets.
    • Trial and onboard new datasets.
    • Ensure data quality and data availability for all our trading teams.
    • Implement data quality checks and monitoring to ensure the integrity and accuracy of data.
    • Create technical documentation related to system configuration and operation.
    • Lead projects, provide technical guidance, and mentor junior engineers.
    • Stay current with industry trends and emerging technologies in data engineering and financial markets.
  • Requirements:
    • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
    • Proven experience as a Senior Data Engineer or similar role, preferably in the financial services industry.
    • Expertise in Python programming and software development best practices as well as the data processing stack in Python (pandas, numpy, polars, pyspark, matplotlib, etc.).
    • Strong proficiency in SQL and relational databases (e.g., PostgreSQL, MySQL).
    • Hands-on experience with containerised applications (kubernetes, helm, docker) and monitoring (grafana & prometheus).
    • Experience with distributed computing frameworks such as Spark, Dask, Ray, or HTCondor.
    • Hands-on experience with Apache Airflow, Dagster, or similar workflow orchestration tools.
    • Understanding of Infrastructure as Code (Terraform, Chef, Ansible).
    • Solid understanding of data modelling and data warehousing concepts.
    • Experienced technologist with experience in business analysis, coding, architecture, and design.
    • Strong communication and collaboration skills.
  • Nice to Have:
    • Job orchestration framework such as AWS Step Functions or Azure Data Factory.
    • Time-series databases.
  • Benefits:
    • Market leading merit-based Bonus scheme.
    • Breakfast, lunch, and snacks provided daily.
    • Fun company activities.
    • Massages and Personal Training Sessions.
    • Life Insurance cover.
    • Generous leave allowance.
    • Opportunity to benefit from in-house and external training courses.
    • Opportunity to travel.
    • Work with smart, passionate, and driven people.
    • Exposure to Global Financial Markets.

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