39 Data Professional jobs in Nigeria

Job Title:
Data Engineering Specialist

Location:
Remote

Contract Type:
Full-time

Job Overview:

The
Data Engineering Specialist
plays a critical role in our intern coaching program, dedicated to developing the next generation of data professionals. You will serve as both a mentor and expert resource, guiding interns through real-world projects, sharing best practices, and ensuring they gain hands-on experience in data engineering.

Responsibilities:

• Provide mentorship and guidance to interns, ensuring they understand core data engineering principles.
• Supervise intern projects, offering support, reviews, and technical insights.
• Design practical case studies and structured problem-solving exercises.
• Record solution walkthroughs that explain your thought process and approach.
• Deliver training on ETL pipelines, data warehousing, cloud platforms (AWS, Azure, GCP), and big data tools.
• Share expertise on building and managing scalable data workflows.
• Support outreach initiatives such as live sessions, Q&A, and community discussions.
• Develop and update learning resources tailored to data engineering.
• Provide feedback on intern performance, ensuring continuous growth.

Requirements:

• Minimum
  4 years of core experience
  in Data Engineering.
• Proven expertise in ETL processes, data warehousing, and transformation pipelines.
• Strong hands-on experience with at least one major cloud platform (AWS, Azure, GCP).
• Familiarity with big data tools (Spark, Hadoop, Kafka, etc.).
• Excellent communication skills with the ability to explain technical concepts clearly.
• Prior mentoring, coaching, or training experience is a strong plus.
• Passion for guiding and supporting the growth of aspiring data professionals.

What We Offer:

• The opportunity to shape and mentor future data engineers.
• A collaborative, knowledge-sharing environment.
• Access to real-world projects and a growing professional network.
• Recognition for contributions toward talent development.

Data Engineering Tutor (Remote)

Company:
Skill.Sch

Location:
Remote

Type:
Part-time | Contract | Flexible Hours

About Us

Skill.Sch empowers learners through hands-on, project-based training in cloud and data technologies. We connect theory to real-world implementation, helping professionals upskill with vendor-neutral, practical education.

Role Overview

We are looking for a knowledgeable and passionate
Data Engineering Tutor
to mentor and guide learners in building practical skills in modern data engineering. You will deliver training, review learner projects, provide feedback, and introduce learners to tools used in real-world data workflows.

Key Responsibilities

• Teach core data engineering concepts, including ETL, data pipelines, data lakes, and cloud storage
• Guide learners through hands-on projects using tools like Python, SQL, Airflow, and Spark
• Offer support with tools such as AWS/GCP/Azure, Kafka, Snowflake, and Apache Beam
• Provide clear explanations, feedback, and career guidance
• Assist with curriculum improvement and content development

Ideal Candidate

• 2+ years of experience in data engineering or a related field
• Strong knowledge of Python, SQL, and cloud-native data tools
• Familiar with modern data stack tools like dbt, Kafka, Snowflake, Apache Beam, or similar
• Excellent communication and mentoring skills
• Passion for teaching and helping others grow
• Experience working in agile, project-based environments a plus

Why Join Us?

• Flexible remote teaching role
• Opportunity to influence and shape learners' careers
• Join a growing and impactful edtech community
• Access to cutting-edge resources and collaborative teams

Who We Are
Moniepoint Inc. is Africa's all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019.

As Nigeria's largest merchant acquirer, it powers most of the country's Point of Sale (POS) transactions. Through its subsidiaries, Moniepoint Inc. processes $22 billion monthly for its customers while operating profitably.

About The Role
At Moniepoint, data is at the core of everything we do. We are a customer-centric company, and your work will enable our teams to make informed, data-driven decisions that directly impact the success of our business. As a Data Engineering Lead, you will help craft robust, scalable systems that support our business intelligence and data-driven operations. We value leaders who are not only technically adept but also excited about mentoring others and pushing the boundaries of what's possible with data.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.
What You Will Get To Do

• Build and maintain robust data pipelines processing large volumes of data
• Analysis of large data sets using tools such as Python & SQL
• Update and optimize our data platform for speed, scalability and cost
• Coordinate with different functional teams to understand and meet their data needs
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Solve general data-related problems
• Design, implement, and maintain highly available and secure database environments.
• Monitor, optimize, and tune database performance and queries.
• Ensure database backups and disaster recovery systems are in place, tested, and operational.
• Collaborate with developers to optimize schema design, indexes, and queries.
• Troubleshoot and resolve database-related issues in development, staging, and production environments.
• Automate routine database maintenance tasks and performance checks
• Setting up new pipelines for the full stream/enrichment/curation process
• Upkeep of source code locations
• Investigating and utilising ML & AI to improve the cloud offering
• Development of junior staff members

To succeed in this role, you should have

• Proven experience as a Data Engineer (5+ years, can be made up for with accomplishments)
• Strong problem solving skills
• Advanced proficiency with SQL
• Proficiency with Python
• Experience with cloud platforms (e.g. Google Cloud, AWS, Azure)
• Experience using version control tools such as git
• Excellent written and verbal communication skills
• A drive to learn and master new technologies and techniques
• A bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field

Experience With The Following Would Be a Plus

• Data governance
• Building and deploying machine learning models
• Terraform or other infrastructure as code tools

What We Can Offer You

• Culture - We put our people first and prioritize the well-being of every team member. We have built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You'll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What To Expect In The Hiring Process

• A preliminary phone call with the recruiter
• A take-home assessment
• A technical interview with a Lead in our Engineering Team
• A behavioural and technical interview with a member of the Executive team.

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Data Engineering Mentor

Location:
Remote

Contract Type:
Full-time

Overview

The
Data Engineering Mentor
plays a critical role in our intern coaching program, dedicated to developing the next generation of data professionals. You will serve as both a mentor and expert resource, guiding interns through real-world projects, sharing best practices, and ensuring they gain hands-on experience in data engineering.

Key Responsibilities

Coaching and Mentorship

• Lead team meetings and one-on-one coaching sessions with interns.
• Provide expert guidance on ETL pipelines, data warehousing, transformation, and cloud infrastructure.
• Support interns across all stages of data workflows, from ingestion to storage and retrieval.

Project Guidance and Support

• Review intern projects for accuracy, efficiency, and adherence to best practices.
• Share industry insights to help interns tackle real-world data engineering challenges.

Case Study and Solution Development

• Design realistic case studies covering pipeline automation, ingestion, and database optimization.
• Develop structured solutions and record walkthroughs to explain pipeline design, data management, and decision-making.

Outreach and Awareness

• Host informational sessions and workshops to promote data engineering as a career path.
• Collaborate with marketing to create engaging content showcasing the program's value.

Resource Development

• Create and update training materials on data pipeline design, cloud architecture, big data, and emerging tools.
• Ensure interns have access to current frameworks and best practices.

Performance Tracking

• Monitor intern performance and provide structured feedback on skills such as scalability, efficiency, and integration.
• Implement assessments to measure learning outcomes.

Collaboration and Program Improvement

• Work with other coaches and program leaders to deliver consistent training experiences.
• Gather feedback to refine the curriculum and improve resources.

Requirements

• Minimum
  4 years of core experience
  in Data Engineering.
• Strong knowledge of ETL pipelines, data warehousing, and cloud platforms (AWS, Azure, GCP).
• Hands-on experience with big data technologies and data transformation tools.
• Excellent communication and mentoring skills.
• Ability to design engaging training resources and practical case studies.
• Commitment to staying updated with emerging tools, frameworks, and best practices.

What We Offer

• A chance to mentor and shape the next generation of data engineers.
• A collaborative and innovative environment focused on learning and knowledge-sharing.
• Opportunities to design impactful training programs and resources.

This is a remote position.

Who we are

A trailblazing financial technology company transforming Africa’s economy, this organization is building a game-changing financial ecosystem for businesses, offering a full suite of payment, banking, credit, and business management tools that empower success. They are looking for a Data Engineering Lead  to join their team.

Fueled by a passion for customer-centric innovation, the company creates solutions that are reshaping the industry. With products like credit, overdrafts, bank integration, and payment gateways, it provides businesses with the essentials to thrive. Harnessing the power of artificial intelligence and data, the organization doesn’t just make decisions – it drives them with advanced tech and industry-leading best practices.

What you’ll get to do:

What you need to succeed:

Bonus Points For:

Why you’ll love working here:

If you’re excited about this Data Engineering Lead  opportunity and ready to make an impact, apply now! Bring your passion for data engineering, your innovative mindset, and your drive to be part of something big. Together, we’ll shape the future of financial technology.

Job Overview

Business Segment: Group Functions

Location: NG, LA, Lagos, Walter Carrington Crescent

Job Type: Full-time

Job Ref ID: A-0001

Date Posted: 9/22/2025

Job Description

To analyze and understand business needs to design effective solutions. To develop insightful visualizations and optimize processes through automation. To provide effort estimates for the design and development of the DE&I reporting platform. To review existing DE&I reports, perform code reviews, and implement optimizations where necessary. Create and maintain comprehensive technical documentation

Key Responsibilities

Design, build and deploy BI solutions (e.g. Power BI, Power BI Report Builder)

Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code

Analyse, facilitate, model and extract data from DEI systems and platforms based on users' requirements.

Maintain and support data analytics platforms (e.g. Hadoop, Data-Reservoir, Oracle database)

Develop and execute database queries and conduct analyses, create visualizations and reports for requested projects and develop and update technical documentation

Qualifications

University Degree in Engineering/Computer Science/Data Science

Relevant Certification(s) is an added advantage

Experience

At least 4 years' experience using Oracle database, SQL Server, database management, MS Power BI, MS Power flow, MS Power Automate, MS SharePoint, MS Excel, MS PowerPoint, MS Access.

Working knowledge of SAP and Finacle.

Additional Information

Behavioural Competencies:

Adopting Practical Approaches

Articulating Information

Checking Things

Documenting Facts

Examining Information

Following Procedures

Interacting with People

Interpreting Data

Managing Tasks

Meeting Timescales

Producing Output

Upholding Standards

Technical Competencies:

Active Listening

Business Process Improvement

Continuous Process Improvement

Financial and Accounting Control

Financial Systems Administration

Verbal Communication

Written Communication

Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any from of payment as part of our recruitment process. If you experience this, please contact our Fraud line on or

Opportunity: Data Analytics Trainee

About Us

We deliver innovative solutions to meet the ever-evolving needs of today's businesses and individuals. Through our dedicated Strategic Business Units, we offer a wide range of services that are designed to empower our clients to achieve success in a competitive marketplace. Learn more:

Internship Summary

• Duration:
  3 Months
• Location:
  Remote
• Experience
  : 0 Years
• Unpaid Internship:
  This is an unpaid internship opportunity that will give you the opportunity to learn valuable data analysis and workplace skills without any financial burden.

What You'll Learn

• Data analysis tools and techniques (e.g., Excel, SQL, Tableau)
• Data visualization and reporting
• Statistical modeling and data mining
• Workplace skills, including communication, teamwork, and time management

What You'll Do

• Assist in analyzing and interpreting complex data sets
• Assist in developing and maintaining databases and data systems
• Assist in creating data visualizations and reports to support business decisions
• Collaborate with our team to identify trends and insights

Benefits

• Opportunity to gain hands-on experience in data analysis and visualization
• Chance to develop your skills and build your portfolio
• Collaborative and dynamic work environment
• Potential for full-time employment after completing the internship (successful interns will be converted to full-term employees)

Requirements:

This is essentially an opportunity to learn and help you grow a career in data analytics and business intelligence. Requirements are as follows:

• 0 years of experience in data analysis
• Strong interest in data analysis
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

How to Apply

If you're a very passionate about data analysis and business intelligence, we'd love to hear from you Please send your CV to

with the subject line "
Data Analytics Trainee

."

We are seeking a highly organized and versatile
Officer – Data Analytics, Governance & Quality
in our Abeokuta office.

This position combines responsibilities in data analytics, compliance, and governance with research and development and asset management. The role is both internal- and external-facing, ensuring data accuracy, regulatory compliance, operational efficiency, and exceptional customer support across all business units and digital platforms.

Salary is negotiable.

Interested applicants should email their CV with the subject "
Officer – Data Analytics, Governance & Quality
"  to

Location - Abeokuta

Key Responsibilities

1. Data Analytics & Reporting

• Conduct data analysis for telesales, customer service, and loan recovery operations.
• Generate actionable insights and dashboards to support business decisions.
• Provide ad hoc and scheduled reports to management and external stakeholders.

2. Data Compliance & Governance

• Enforce GDPR, NDPR, and other data protection regulations across internal operations and all company digital products, including: HRPayHub (web application and website), DelonApps, DelonAcademy, DelonJobs, and DelonHealth.
• Monitor and audit data handling practices to ensure lawful collection, secure storage, proper consent management, and compliance with user rights.
• Maintain documentation of compliance measures and act as an internal advisor on data governance policies.

3. Research & Development (R&D)

• Identify and evaluate new technologies, tools, and methodologies that can improve operational efficiency.
• Conduct sales research, market analysis, and other department- or employee-requested research to support growth and informed decision-making.
• Handle CEO-directed projects, including academic-style studies and professional research assignments.

4. Inventory & Asset Management

• Manage IT and office asset records, including hardware, software licenses, and digital tools.
• Track the lifecycle of assets from procurement to disposal.
• Implement asset governance processes for accountability and cost-efficiency.

5. Digital Subscriptions & Website Assets

• Manage all company digital subscriptions and website assets, ensuring timely renewals.
• Provide support and oversight to guarantee uptime and smooth access for users.
• Track costs and optimize subscriptions for efficiency and compliance.

Requirements

• Bachelor's degree in Computer Science or equivalent.
• Strong interest in data analysis, compliance, and governance, with focus on applying data protection principles (GDPR, NDPR, and related frameworks).
• Experience in quality assurance (software and/or call center) is highly desirable.
• Familiarity with asset/inventory management tools and processes.
• Excellent analytical, organizational, and communication skills.
• Proactive and adaptable, with interest in research & development and continuous improvement.

Key Competencies

• Strong analytical and problem-solving mindset.
• High integrity and attention to compliance standards.
• Ability to work cross-functionally with HR, IT, operations, and product teams.
• Detail-oriented with excellent organizational skills.
• Proactive learner with capacity to take on diverse responsibilities.

Interested applicants should email their CV to

We're Hiring: Manager – Data Analytics, Governance & Quality

DelonApps is seeking a highly organized and versatile professional to join our team in Abeokuta. This role combines data analytics, compliance, and governance with responsibilities in quality assurance, research & development, asset management, and customer experience.

Requirements

Minimum of a 2:1 bachelor's degree in electrical engineering, computer science, or mathematics.

Some experience in data analysis, compliance/governance, and quality assurance.

Excellent numerical, problem-solving, and organizational skills.

Must be based in Abeokuta.

Interested candidates should send their CVs to with subject Manager - Data Analytics