Senior Data Engineer

Lagos - Nigeria

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

In partnership with our client we are seeking a Senior Data Engineer who understands that great data infrastructure is the foundation everything else is built on. This is a role for someone who is technically strong problem-solving driven and passionate about building the pipelines platforms and tools that keep data flowing accurately and efficiently at scale. You will work closely with teams across the business to understand their data needs and build the systems that meet them ensuring our data platform is always fast reliable and cost-effective. If you are a builder who takes pride in clean scalable data infrastructure and wants to work on problems that actually matter we want to meet you.

Who are we looking for

You are an experienced data engineer with a proven track record of building and maintaining robust data pipelines that process large volumes of data reliably.
You are technically strong with advanced SQL skills solid Python proficiency and hands-on experience with cloud platforms such as Google Cloud AWS or Azure.
You are a strong problem-solver who can diagnose data-related issues quickly think through solutions systematically and deliver fixes that hold up over time.
You are comfortable with version control tools like Git and understand how to work effectively in a collaborative engineering environment.
You are a clear communicator who can engage with both technical and non-technical stakeholders to understand data needs and translate them into practical engineering solutions.
You are curious and growth-minded always looking to learn new technologies adopt better techniques and improve how things are done.
You are detail-oriented and quality-conscious taking ownership of data accuracy and platform performance as core parts of your role.

Your Responsibilities

Data Pipeline Development

You will build and maintain robust data pipelines that process large volumes of data accurately reliably and at scale.
You will develop processes and tools to monitor and analyse model performance and data accuracy ensuring issues are caught and resolved quickly.
You will solve general data-related problems across the business working with teams to understand root causes and implement lasting solutions.

Platform Optimisation

You will update and optimise our data platform for speed scalability and cost efficiency continuously improving how we store process and serve data.
You will evaluate and adopt new tools and technologies where they can meaningfully improve platform performance or reduce operational overhead.

Collaboration and amp; Stakeholder Support

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 culture of knowledge sharing documenting your work clearly and supporting teammates in understanding the systems you build.

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 ongoing optimisation efforts.
Functional teams across the business report that their data needs are being met consistently and on time.
Model performance and data accuracy monitoring is in place and operating effectively with issues identified and resolved proactively.
Documentation is thorough up to date and enables the broader team to understand and work with the systems you build.

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 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.
Hands-on experience with cloud platforms such as Google Cloud AWS or Azure.
Experience using version control tools such as Git.
Excellent written and verbal communication skills.
A strong drive to learn and master new technologies and techniques.
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

Building and maintaining pipelines that remain reliable and accurate as data volumes grow and business needs evolve rapidly.
Balancing the demands of day-to-day pipeline support and troubleshooting with longer-term platform improvement and optimisation work.
Coordinating across multiple functional teams with different data needs priorities and levels of technical understanding.
Staying ahead of a fast-moving data engineering landscape where new tools and best practices emerge constantly.

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 build data infrastructure that powers meaningful products at scale.