Senior Data Engineer
4 weeks ago
Tibra Capital is 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, build, 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.
- 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.
- A job orchestration framework such as AWS Step Functions, or Azure Data Factory.
- Time-series databases.
- 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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