Senior Data Engineer

1 week ago

Sydney, New South Wales, Australia Tibra Capital Full time
Senior Data Engineer

We are seeking a highly skilled and experienced Senior Data Engineer to play a critical role in designing, building, and maintaining robust data infrastructure and pipelines to support our trading strategies and operations.

The Role:
  • Design, develop, and maintain 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:
  • Experience with 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.

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