Live opening · Posted 12 hours ago

Data Engineering Lead

Chowdeck · Ikoyi, Lagos
Bamboohr No Full-Time
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At a glance

The key details from the original listing.

Posted 12 hours ago
CompanyChowdeck
LocationIkoyi, Lagos
Job typeFull-Time
Work modeNo
SkillsPython
SourceBamboohr
ListedPosted 12 hours ago

About the role

Description supplied by the original job listing.

Who we are
Chowdeck is an on-demand delivery service for Africa. We help vendors deliver food, medicine, and groceries seamlessly while also providing customers with a platform to order from their favourite vendors.
At Chowdeck, we deeply value growth, excellence, speed, and empathy. Our team is a tight-knit team of creative problem solvers who are smart, kind and committed to helping each other grow.
Where you come in
We're looking for a Data Engineering Lead to build and scale the data infrastructure that powers decision-making across Chowdeck.
As our Data Engineering Lead, you'll be responsible for designing the systems that collect, transform, store, and serve data across the business. From Operations and Finance to Product and Growth, you'll ensure teams have access to reliable, timely, and actionable data that helps them make better decisions.
This role combines hands-on engineering with technical leadership. You'll define standards, shape our data architecture, and work closely with stakeholders across the company to solve complex business problems through data.
We're looking for someone who enjoys building systems from the ground up, thrives in fast-moving environments, and can balance long-term technical thinking with practical execution.
In this role, you'll be required to:
Design, build, and maintain scalable data pipelines and workflows that support business-critical operations.
Own and evolve Chowdeck's data warehouse architecture and data models.
Establish best practices for data engineering, data quality, observability, and governance.
Build systems that enable self-service reporting and analytics across teams.
Develop monitoring and validation frameworks to ensure data accuracy and reliability.
Partner with Product, Engineering, Operations, Finance, and Growth teams to understand and prioritize data requirements.
Improve the accessibility, discoverability, and documentation of datasets across the organization.
Optimize data infrastructure for scalability, performance, and cost efficiency.
Support forecasting, experimentation, machine learning, and advanced analytics initiatives.
Lead technical decisions relating to data infrastructure, tooling, and architecture.
Mentor and support other engineers working on data-related projects.
Drive continuous improvements to the company's overall data maturity and capabilities.
You're perfect for the role if you:
Have significant experience designing and maintaining modern data platforms and pipelines.
Are highly proficient in SQL and at least one programming language such as Python.
Have experience building and managing cloud-based data infrastructure and data warehouses.
Can design scalable data models that support both operational and analytical use cases.
Have a strong understanding of data governance, quality assurance, and security principles.
Can translate business problems into practical data solutions.
Communicate effectively with both technical and non-technical stakeholders.
Have experience leading projects and influencing technical decisions across teams.
Are highly analytical, detail-oriented, and comfortable working with ambiguity.
Care deeply about reliability, scalability, and operational excellence.
Beyond the paycheck, Chowdeck employees get:
Full medical coverage
Smart, kind colleagues invested in your growth
Housing Assistance
Transport Assistance
Lunch allowance
Chowdeck is an equal-opportunity employer and prohibits discrimination and harassment of any kind. We’re committed to providing employees with a work environment that is progressive and open-minded. Our employment philosophy is to hire the best people and empower them to do the best work of their lives. Employment decisions are based on business needs and individual merit without regard to race, color, religion, ethnicity, sexual orientation, nationality, marital status, gender, or age.

Employment type
Full-Time

Work arrangement
No

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