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Job Title: Senior Data Engineer
Location:
Ideally based in one of Shara's hubs in Washington DC, Nairobi, Lagos, or Abuja. Travel:
Occasional trips (2-4x per year) to Washington DC, Nairobi, or Lagos. At Shara, we're building for a future where African banking is free, frictionless, and driven by user experience. We believe this future of banking is inevitable, and we want to be the first to build it. We're an all-in team of founder-quality people across Kenya, Nigeria, and the US, looking for peers to join us. If you're a no-drama, roll up your sleeves, customer-driven person who can build from day one, we can't wait for you to join us. About this role We're looking for a senior data engineer to join our
Data Science
team and help build a modern data infrastructure that will be the pillar of the cloud-banking future we are building. You will have the opportunity to design and build the foundational data infrastructure that will support the development of data-enabled and analytics-driven banking products. In this role, you will: Architect and build data pipelines to amalgamate a wide variety of data sources. Scale and maintain existing data infrastructure from our cloud data warehouse to new infrastructure development. Design and build highly available and reliable data services with a focus on machine learning. Write & maintain well-tested and documented code. Take a high level of ownership and responsibility for your work. Work closely with cross-functional stakeholders such as Data Scientists, Product Managers, Engineers, and others to successfully execute and deliver features. Make tradeoffs considering business priorities, user experience, and a sustainable technical foundation. What you bring to the table Strong technical experience, with 3+ years of hands-on experience building and maintaining data pipelines and data warehouses, including ELT processing and monitoring. You’ll work mostly in Python and SQL, but we care more about general engineering expertise and problem-solving than specific knowledge. Strong interest in data and modern data infrastructure technologies such as Big Query, DBT, Airbyte, Meltano, Airflow/Dagster/Prefect, and others. Familiarity with the full cycle of software development, from design and implementation to testing and deployment. Excellent communication skills and the ability to articulate complex, technical concepts to any audience. Nice to haves Experience building fintech or banking applications. Experience supporting Machine Learning Infrastructure. Experience optimizing end-to-end performance of distributed systems. Our Stack Python, SQL. Java, NodeJS, React. Postgres, MySQL, BigQuery. Kafka, CircleCI, GCP, AWS, Kubernetes, Docker, Firebase. Datadog, Sentry.
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Ideally based in one of Shara's hubs in Washington DC, Nairobi, Lagos, or Abuja. Travel:
Occasional trips (2-4x per year) to Washington DC, Nairobi, or Lagos. At Shara, we're building for a future where African banking is free, frictionless, and driven by user experience. We believe this future of banking is inevitable, and we want to be the first to build it. We're an all-in team of founder-quality people across Kenya, Nigeria, and the US, looking for peers to join us. If you're a no-drama, roll up your sleeves, customer-driven person who can build from day one, we can't wait for you to join us. About this role We're looking for a senior data engineer to join our
Data Science
team and help build a modern data infrastructure that will be the pillar of the cloud-banking future we are building. You will have the opportunity to design and build the foundational data infrastructure that will support the development of data-enabled and analytics-driven banking products. In this role, you will: Architect and build data pipelines to amalgamate a wide variety of data sources. Scale and maintain existing data infrastructure from our cloud data warehouse to new infrastructure development. Design and build highly available and reliable data services with a focus on machine learning. Write & maintain well-tested and documented code. Take a high level of ownership and responsibility for your work. Work closely with cross-functional stakeholders such as Data Scientists, Product Managers, Engineers, and others to successfully execute and deliver features. Make tradeoffs considering business priorities, user experience, and a sustainable technical foundation. What you bring to the table Strong technical experience, with 3+ years of hands-on experience building and maintaining data pipelines and data warehouses, including ELT processing and monitoring. You’ll work mostly in Python and SQL, but we care more about general engineering expertise and problem-solving than specific knowledge. Strong interest in data and modern data infrastructure technologies such as Big Query, DBT, Airbyte, Meltano, Airflow/Dagster/Prefect, and others. Familiarity with the full cycle of software development, from design and implementation to testing and deployment. Excellent communication skills and the ability to articulate complex, technical concepts to any audience. Nice to haves Experience building fintech or banking applications. Experience supporting Machine Learning Infrastructure. Experience optimizing end-to-end performance of distributed systems. Our Stack Python, SQL. Java, NodeJS, React. Postgres, MySQL, BigQuery. Kafka, CircleCI, GCP, AWS, Kubernetes, Docker, Firebase. Datadog, Sentry.
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