Chief Data Engineer

23 hours ago


Islamabad, Islamabad, Pakistan beBeeData Full time
Job Description

We are seeking a skilled professional to build and maintain data infrastructure that supports our lending models and operational processes, primarily on AWS.

This role offers a unique opportunity to contribute to building the financial backbone of one of Africa's most ambitious digital banks.

Key Responsibilities:
  • Develop and operate ETL/ELT pipelines using AWS Glue, Lambda, Athena, and Step Functions.
  • Structure and maintain our data lake with proper partitioning, schema evolution, metadata tagging, and access control across multiple jurisdictions.
  • Collaborate with data scientists to deploy models using SageMaker Pipelines, update the Feature Store, and set up triggers for model retraining.
  • Monitor pipeline outputs and data quality dashboards to ensure all data is accurate, traceable, and reproducible.
  • Use infrastructure-as-code tools like Pulumi or Terraform to build reproducible infrastructure, implementing logging, versioning, and KMS-encrypted security practices.
Required Skills & Experience:
  • Strong ownership mindset (willing to take responsibility)
  • Ability to learn quickly and adapt to new technologies
  • 4+ years in data engineering or cloud data architecture roles
  • Proficiency in SQL, Python, and PySpark
  • Experience with data lake architecture and handling semi-structured data (Parquet, JSON)
  • Experience with MLOps, model deployment pipelines, and monitoring
  • Knowledge of secure data handling and anonymization best practices
Desirable Skills:
  • Experience with event-driven data flows (e.g., Kafka, EventBridge)
  • Familiarity with SageMaker Feature Store and SageMaker Pipelines
  • Background in financial services, credit scoring, or mobile money ecosystems


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