About the company:
At BID Operations, we are passionate about supporting our clients in their journey towards success. Our mission is to empower you to thrive by handling the essential yet time-consuming aspects of your business operations, allowing you to concentrate on strategic growth and innovation.
About the role:
As a Senior Data Engineer, you will be a technical leader responsible for the architecture, scalability, and reliability of our high-throughput, real-time data ecosystem. You will oversee the evolution of our data infrastructure, leveraging Kafka, RabbitMQ, Airflow, and ClickHouse to power mission-critical financial analytics. Your role is to bridge the gap between complex business requirements and high-performance engineering, ensuring our data pipelines can handle the rigours of real-time financial data processing.
Requirements
Key Responsibilities:
- Lead the design and evolution of highly scalable, fault-tolerant ETL/ELT pipelines.
- Drive 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.
Requirements:
- 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.
Benefits
- Hybrid working arrangement
- Opportunities for enriching career growth, including exposure to regional contexts
- Complimentary snacks and beverages available in the office pantry
- Healthcare coverage (medical, dental, optical), gym benefits
- Flexibility in smart casual dress code
- Young, vibrant and open work culture
