Senior Data Engineer

apartmentTibra Capital placeSydney scheduleFull-time calendar_month 
We are seeking a highly skilled and experienced Senior Data Engineer to join our team. The Senior Data Engineer will play a critical role in designing, building, and maintaining robust data infrastructure and pipelines to support our trading strategies and operations.

The ideal candidate will have a strong background in Python programming, experience with Apache Airflow for workflow orchestration, and proficiency in SQL for data manipulation and querying.

The Role:

  • Build, 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.
  • Evolve 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 experience or exposure to the following technologies:

  • a 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

If this sounds like you, we’d love to hear from you! Please apply now.

As you submit your application, please consider:

  • You must have, or be eligible to obtain, legal working rights in Australia
  • Before joining Tibra, you will be required to pass a criminal history check
  • Tibra is an Equal Employment Opportunity Employer
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