Kuda · 5 months ago
Senior Data Engineer
United States
Full-time
Remote
Senior LevelKuda is a money app for Africans focused on making financial services accessible and affordable. They are seeking a visionary Senior Data Engineer to lead their data engineering efforts, driving innovation and growth while shaping the future of banking for millions.
Responsibilities
Design, develop, and optimise large-scale data ingestion, transformation, and processing pipelines for structured, semi-structured, and unstructured data
Lead the integration of multi-cloud and hybrid data platforms (e.g., Azure SQL, Google BigQuery, on-premises SQL Server)
Define and enforce data architecture standards to ensure scalability, security, and optimal performance
Leverage Dataform to manage SQL-based transformations, version control, testing, and deployment of analytics datasets in BigQuery
Introduce and manage real-time streaming solutions (e.g., Kafka, Pub/Sub, or Dataflow) in conjunction with batch data pipelines
Establish data quality frameworks with automated validation, anomaly detection, and reconciliation checks
Collaborate with Data Governance teams to maintain data catalogues metadata management, and lineage tracking
Implement security, privacy, and compliance standards (such as GDPR, NDPR, and ISO 27001) within data pipelines
Mentor junior and mid-level data engineers, providing technical guidance and career development support
Partner with Data Science and BI teams to deliver data products for predictive modelling, experimentation, and self-service analytics
Act as a subject matter expert in cross-functional projects, advising on technical trade-offs and best practices
Research and adopt emerging data engineering technologies and methodologies
Drive automation in data workflows to reduce manual intervention and operational risk
Optimise data storage and compute costs through partitioning, clustering, and workload management
Qualification
Required
Design, develop, and optimise large-scale data ingestion, transformation, and processing pipelines for structured, semi-structured, and unstructured data
Lead the integration of multi-cloud and hybrid data platforms (e.g., Azure SQL, Google BigQuery, on-premises SQL Server)
Define and enforce data architecture standards to ensure scalability, security, and optimal performance
Leverage Dataform to manage SQL-based transformations, version control, testing, and deployment of analytics datasets in BigQuery
Introduce and manage real-time streaming solutions (e.g., Kafka, Pub/Sub, or Dataflow) in conjunction with batch data pipelines
Establish data quality frameworks with automated validation, anomaly detection, and reconciliation checks
Collaborate with Data Governance teams to maintain data catalogues metadata management, and lineage tracking
Implement security, privacy, and compliance standards (such as GDPR, NDPR, and ISO 27001) within data pipelines
Mentor junior and mid-level data engineers, providing technical guidance and career development support
Partner with Data Science and BI teams to deliver data products for predictive modelling, experimentation, and self-service analytics
Act as a subject matter expert in cross-functional projects, advising on technical trade-offs and best practices
Research and adopt emerging data engineering technologies and methodologies
Drive automation in data workflows to reduce manual intervention and operational risk
Optimise data storage and compute costs through partitioning, clustering, and workload management
Company
Kuda
Kuda is a fintech company on a mission to make financial services more accessible, affordable and rewarding for every African on the planet.
Founded in 2019
201-500 employees
Funding
Current Stage
Growth StageRecent News
Techpoint Africa
2025-02-19
Tech In Africa
2025-02-17
Company data provided by crunchbase