Senior Data Engineer

Duties & Responsibilities

• Develop data integration solutions for extraction, transformation, and loading into Data Lakes and/or Data Warehouses using modern cloud-based technologies.
  
• Design and develop rich data models to facilitate data analysis.
  
• Create import procedures for collecting, storing, and analyzing data from multiple sources.
  
• Actively contribute to the ongoing design and development of the organization's data estate.
  
• Analyze business requirements to develop simple, yet effective solutions to meet both immediate and long-term BI needs.
  

Requirements

• BSc/MSc in Computer Science, Data Science, or a related field.
  
• Minimum of 4 years' experience in a similar position, preferably within a financial services organization.
  
• Strong SQL skills and a deep understanding of Data Warehouse design principles.
  
• Familiarity with Data Lake design and basic storage formats like CSV, JSON, Parquet, etc.
  
• Good understanding of object-oriented programming languages like Python and Scala.
  
• Ability to translate complex data into a consumable format and structure.
  
• Strong analytical and problem-solving skills.
  
• Ability to liaise with product management and content owners to produce impactful visualizations.
  
• Excellent command of written and spoken English.
  
• Team player with excellent communication skills.
  

Advantageous Qualifications

• Interest in data modeling and statistical analysis using Python or R.
  
• Familiarity with the Azure cloud ecosystem.
  
• Experience in financial markets.
  
• Proficiency in data visualization tools like Power BI, Tableau, or similar.
  

Benefits

• Competitive remuneration package, including a 13th salary and discretionary performance bonuses.
  
• Comprehensive medical insurance, including outpatient, inpatient, and dental care.
  
• Participation in a welfare investment and savings plan via our Provident Fund Scheme.