Senior Data Engineer

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August 16

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Kuda

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Fintech • Banking • B2C

Kuda is a digital banking platform designed to provide seamless and free financial services primarily for Africans. The app facilitates free transfers, cashless payment options, and interest-earning on savings. Kuda offers features such as bill payment, gift card purchasing, and budgeting tools. It provides users with a Kuda debit card for online and offline transactions, offering a simple solution for managing finances. The platform also supports businesses with tools like POS systems, invoicing, payroll, and business loans. Licensed under various financial authorities, Kuda expands its services across Nigeria, the UK, Canada, and soon Uganda, aiming to offer convenient banking with transparency and customer-focused solutions.

51 - 200 employees

Founded 2019

💳 Fintech

🏦 Banking

👥 B2C

📋 Description

• 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. • Data Quality & Governance • 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.

🎯 Requirements

• 7+ years of experience in data engineering, with a proven track record of leading teams. • Expert-level SQL skills, including advanced query optimisation and performance tuning. • Proven experience with: • Microsoft SQL Server / Azure SQL DB / Azure Managed Instance • Google BigQuery & Google Cloud Platform • Dbt. Cloud or Dataform for data modelling, testing, and deployment • Data ingestion tools (e.g., Airbyte, Azure Data Factory and Fivetran) • Strong programming skills in Python (preferred) and at least one additional language (Java, Scala, or Go). • Experience with streaming architectures (Kafka, Pub/Sub, Spark Streaming, or Flink). • Familiarity with infrastructure-as-code tools (Terraform, Pulumi, or Deployment Manager). • Strong understanding of modern data architectures (Medallion, Data Mesh Lakehouse). • Hands-on experience with CI/CD for data and containerization (Docker, Kubernetes). • Proficient in Agile delivery methodologies. • Preferred: • Knowledge of machine learning pipelines (Vertex AI, MLflow, or SageMaker). • Prior experience working in FinTech or other regulated industries. • Exposure to Looker or similar BI tools.

🏖️ Benefits

• A great and upbeat work environment populated by a multinational team • Pension fund • Competitive annual leave plus bank holidays • Competitive paid time off (Parental, Moving day, Birthday, Study leave etc) • Medical Aid • Award winning L&D training • Kuda is proud to be an equal-opportunity employer. We value diversity and anyone seeking employment at Kuda is considered based on merit, qualifications, competence and talent. • We don’t regard colour, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.