Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
About the role
- Data Engineer building and maintaining data infrastructure at Kuunda for Africa’s embedded finance ecosystem. Designing secure and scalable data pipelines on AWS for intelligent decision-making.
Responsibilities
- Design, build, and maintain scalable and secure ETL/ELT pipelines across Redshift, S3
- Develop and manage AWS Glue jobs for automation, transformation, and catalog management
- Implement Apache Airflow workflows for data orchestration and monitoring of cross-market processes
- Optimize data ingestion and transformation performance using AWS-native tools and Redshift best practices
- Architect and maintain VPCs, subnets, security groups, and gateways to secure data movement between AWS services
- Apply AWS best practices for IAM policies, encryption, and secure access management
- Integrate data from external partners into the centralized warehouse
- Develop CI/CD pipelines in GitLab for automated deployment of data jobs, schema changes, and tests
- Work with analysts and data scientists to prepare structured datasets for reporting, modeling, and insights
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, or related field
- 3+ years of experience in data engineering or data infrastructure
- AWS Certified Solutions Architect or Similar (VPC setup, S3, Glue, Redshift, IAM, Lambda, Gateway, CloudWatch)
- Advanced proficiency in SQL and Python for data transformation and automation
- Experience with GitLab for version control and CI/CD automation
- Familiarity with Apache Airflow (DAG creation, scheduling, and monitoring)
Benefits
- Competitive salary and performance-based bonus
- Professional development and career growth opportunities
- Flexible work arrangements and an inclusive culture
- An exciting environment at the forefront of fintech innovation
Job title
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