Data Engineer

Duties & Responsibilities

• Design and develop scalable data pipelines and ETL (Extract, Transform, Load) processes to collect, process, and integrate data from various sources into a centralized data warehouse or data lake.
• Implementing data models, schemas, and database structures to organize and optimize data storage for efficient data retrieval, writing and analysis.
• Collaborating with quantitative and analysts to understand their data requirements and provide them with the necessary infrastructure and tools for data exploration, analysis, and visualization.
• Ensuring data quality and consistency by implementing data validation, cleaning, and transformation procedures.
• Monitoring and maintaining the performance, availability, and security of data systems, including database servers, data warehouses, and data processing frameworks.
• Troubleshooting and resolving data-related issues and performance bottlenecks in collaboration with the investment teams.
• Evaluating and integrating new data technologies, tools, and frameworks to improve data infrastructure and processing capabilities.
• Documenting data pipelines, workflows, and technical specifications to facilitate knowledge sharing and maintain system.
• Keeping up-to-date with industry trends, best practices, and emerging technologies in the field of data engineering.

General:

• Assist and collaborate on team wide projects.
• Contribute to the analytics platform to know what is required from a Data Engineering perspective.
• Assist and investigate ad-hoc data related queries.

Desired Experience & Qualification

REQUIRED EXPERIENCE

• Up to 3 years’ experience with a specific focus in database management, data analysis and have produced ETL processes at scale are essential.
• Basic understanding of financial instruments and markets.
• Exceptional skill and experience in Python and SQL.

REQUIRED QUALIFICATIONS

• University Post Graduate Degree (Computer Science/Information Systems/Maths/Stats/Business Science/Actuarial).
• Strong programming skills in Python and SQL.

KEY COMPETENCIES

• Excellent interpersonal skills, excellent communication skills oral and written.
• Aptitude in decision-making and problem-solving.
• Strong work ethic, self-motivated, driven and results oriented.
• Ability to listen and respond to new ideas, input and diverse perspectives.
• High levels of self-confidence, assertive as well as healthy levels of EQ.
• Energetic problem-solver.
• Structured work style, attention to detail and accuracy is of the utmost importance.

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