Data Engineering Lead

Lagos - Nigeria

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

In partnership with our client we are seeking a Data Engineering Lead who understands that at the heart of every great data-driven business is an engineering team that builds things right. This is a role for someone who is technically excellent naturally curious and excited about both crafting robust data systems and developing the people around them. You will help build the scalable infrastructure that powers our business intelligence and data operations while leading and mentoring a team of engineers to do their best work. If you are a hands-on technical leader who wants to push the boundaries of what is possible with data in a fast-growing fintech we want to meet you.

Who are we looking for

You are an experienced data engineer with a strong track record of building and maintaining robust scalable data pipelines that process large volumes of data reliably.
You are technically strong with advanced SQL proficiency solid Python skills and hands-on experience with cloud platforms such as Google Cloud AWS or Azure.
You are a natural leader who takes genuine pride in developing junior engineers sharing knowledge and raising the technical bar of everyone around you.
You are a strong problem-solver who thinks systematically diagnoses data issues quickly and delivers solutions that hold up as the business scales.
You are curious and forward-thinking always exploring how emerging technologies including ML and AI can be applied to improve data infrastructure and cloud offerings.
You are a clear communicator who can engage effectively with both technical teams and non-technical stakeholders across the business.
You are organised and ownership-driven comfortable managing source code pipeline processes and platform quality with a high level of discipline and care.

Your Responsibilities

Data Pipeline and amp; Platform

You will build and maintain robust data pipelines that process large volumes of data accurately and reliably at scale.
You will set up new pipelines covering the full stream enrichment and curation process ensuring data flows correctly from source to consumption.
You will update and optimise the data platform for speed scalability and cost efficiency on an ongoing basis.
You will oversee the upkeep of source code locations ensuring repositories are well-maintained organised and accessible.

Analytics and amp; Problem Solving

You will analyse large datasets using Python and SQL to surface insights and support data-driven decision-making across the business.
You will develop processes and tools to monitor and analyse model performance and data accuracy catching and resolving issues proactively.
You will solve general data-related problems across the business working cross-functionally to understand root causes and implement lasting solutions.

Innovation and amp; Technology

You will investigate and apply ML and AI techniques to improve our cloud data offering staying ahead of emerging tools and best practices in the field.
You will evaluate new technologies and approaches adopting them where they can meaningfully improve platform performance or engineering efficiency.

Leadership and amp; Collaboration

You will lead the development of junior staff members mentoring them through technical challenges and supporting their growth as data engineers.
You will coordinate with different functional teams to understand their data needs and ensure the platform is built to meet them effectively.
You will contribute to a strong culture of knowledge sharing documentation and continuous improvement within the data engineering team.

What Success looks like

Data pipelines are live reliable and processing large volumes of data accurately with minimal downtime or data quality incidents.
Platform speed scalability and cost metrics show measurable improvements over time as a result of consistent optimisation efforts.
Junior engineers on the team are visibly growing in capability confidence and technical output under your leadership and mentorship.
ML and AI investigations result in at least one meaningful improvement to the cloud data offering within the first year.
Functional teams across the business consistently report that their data needs are being met accurately and on time.
Source code locations and pipeline documentation are well-maintained thorough and accessible to the full engineering team.

To be considered for this role you should have

5 years of proven experience as a Data Engineer with strong accomplishments that demonstrate the depth and breadth of your expertise.
A Bachelors degree in Computer Science Statistics Mathematics Engineering or a related field.
Advanced proficiency in SQL and solid proficiency in Python with experience analysing large datasets using both.
Advanced proficiency in SQL and solid proficiency in Python with experience analysing large datasets using both.
Experience using version control tools such as Git.
Demonstrated experience mentoring or developing junior technical team members.
Excellent written and verbal communication skills.
A strong drive to learn adopt new technologies and push the boundaries of what is possible with data.
Bonus: Experience with data governance frameworks and practices.
Bonus: Experience building and deploying machine learning models.
Bonus: Familiarity with Terraform or other infrastructure as code tools.

Challenges you may face in this role

Balancing hands-on technical work with the leadership responsibilities of mentoring a team and driving engineering standards across the function.
Building and scaling data pipelines that remain accurate and reliable as data volumes product complexity and business demands grow rapidly.
Coordinating across multiple functional teams with varying data needs technical maturity and competing priorities.
Staying ahead of a fast-moving data engineering landscape while also maintaining and improving the systems already in production.
Driving meaningful adoption of ML and AI improvements in a complex regulated fintech environment where stability and compliance are non-negotiable.

The Goodies

Competitive salary with annual bonus pension and health insurance.
A people-first culture where all opinions carry weight and every voice is heard.
A learning and development focused environment with knowledge sharing training and regular internal technical talks.
The opportunity to lead and shape a data engineering function that powers meaningful products for millions of people across Africa.

In partnership with our client we are seeking a Data Engineering Lead who understands that at the heart of every great data-driven business is an engineering team that builds things right. This is a role for someone who is technically excellent naturally curious and excited about both crafting robus...