Job Purpose and Impact :

The Senior Data Engineer designs, builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision, this job ensures that large sets of data are efficiently processed and made accessible for decision making.

Key Accountabilities :

- DATA INFRASTRUCTURE : Prepares data infrastructure to support the efficient storage and retrieval of data.

- DATA FORMATS : Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.

- DATA & ANALYTICAL SOLUTIONS : Develops complex data products and solutions using advanced engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.

- DATA PIPELINES : Develops and maintains streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.

- DATA SYSTEMS : Reviews existing data systems and architectures to identify areas for improvement and optimization.

- STAKEHOLDER MANAGEMENT : Collaborates with multi-functional data and advanced analytic teams as well as with business teams to gain requirements and ensure that data solutions meet the functional and non-functional needs of various partners.

- DATA FRAMEWORKS : Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.

- AUTOMATED DEPLOYMENT PIPELINES : Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.

- DATA MODELING : Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.

Preferred Competencies :

- Data Platform Design : Designs and builds scalable ELT data platforms on AWS for batch and real-time workloads.

- Advanced Python Engineering : Develops production-grade Python pipelines, services and reusable frameworks.

- Snowflake and Relational Database Expertise : Deep knowledge of Snowflake architecture, advanced SQL, and relational databases (Oracle, SQL Server, PostgreSQL).

- Batch and Real-Time Processing : Designs, develops and operates reliable batch and streaming pipelines using Apache Kafka.

- Performance and Cost Optimization : Monitors and improves Snowflake queries, warehouse usage and Python workloads.

- Security and Governance : Implements role-based access controls, data protection and secure data-sharing patterns.

- Reliability and Data Quality : Builds resilience into data pipelines through validation, error handling, retries, monitoring and alerting.

- GenAI Enablement : Prepares structured and unstructured data for GenAI use cases, including data cleaning, chunking, metadata enrichment and embedding generation.

- React and .NET Knowledge : Familiarity with React and .NET is an advantage.

- Proven experience working in the Trading and/or Finance industry.

Our Offer :

We provide a fast paced stimulating international environment, which will stretch your abilities and channel your talents. We also offer competitive salary and benefits combined with outstanding career development opportunities in one of the largest and most solid private companies in the world.

We welcome applications from people with disabilities and are committed to providing an inclusive, accessible