233 Data Team 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.

Company Description

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Role Description

This is a full-time on-site role for a Data Science Instructor located in Port Harcourt. The Data Science Instructor will be responsible for designing and delivering curriculum, creating lesson plans, teaching various data science subjects, and providing support and mentorship to students. The instructor will also be involved in assessing student performance, conducting hands-on lab sessions, and staying updated with the latest industry trends and tools in data science.

Qualifications

• Experience in training and facilitation.
• Skills in Lesson Planning and curriculum development
• Strong communication and interpersonal skills
• Ability to inspire and engage students
• Experience with data science tools such as Python, SQL, Power BI, Advanced Excel etc and technologies is a plus
• Bachelor's degree

Company Description
Lagos Data School is a learning institute dedicated to training professionals in data science. We specialize in teaching how to analyze, visualize, and report data using various tools. Our mission is to equip our students with the practical skills needed to excel in the field of data science.

Role Description

This full-time role is for a Data Science Instructor, located on-site in Ikeja, Lagos State. The instructor will be responsible for developing and delivering course content, lesson planning, and assessing student progress. Daily tasks include teaching data science concepts, guiding students through practical exercises, and providing support to ensure their understanding and application of the material.

Qualifications

• Experience as an Instructor and ability to create effective course outline.
• Strong analytical and problem-solving skills
• Excellent communication and presentation abilities
• Ability to work and engage with students of diverse backgrounds
• Bachelor's degree in Data Science, Computer Science, Mathematics, or a related field.
• Ability to train on data science, AI and ML.
• Experience in data analysis and visualization tools is a plus

Today

Lagos Full Time

Energy & Utilities NGN 600, ,000

Easy Apply

We are seeking a motivated Junior Database Administrator (DBA) – Level 1 to provide first-line support in managing and maintaining enterprise databases. This entry-level role involves assisting senior DBAs with database monitoring, troubleshooting, backup, and basic performance tuning while gaining exposure to data science and analytics environment

• Minimum Qualification : Degree
• Experience Level : Mid level
• Experience Length : 3 years

Responsibilities:

• Provide first-level support for database incidents and service requests.
• Monitor database performance, availability, and alerts.
• Assist in database backups, restores, and routine maintenance tasks.
• Support data quality checks and ensure data integrity.
• Work with data analysts and developers to provide access to required datasets.
• Document incidents, configurations, and solutions for knowledge sharing.
• Escalate complex database issues to Level 2/3 DBAs.
• Learn and apply best practices in database administration, data governance, and security.
  Participate in on-the-job training and continuous development.

Requirements:

• HND/Bachelor's degree in Computer Science, IT, or a related field.
• Minimum of 3-5 years' experience in IT/database support.
• Basic understanding of relational databases (SQL Server, Oracle, MySQL, or PostgreSQL).
• Familiarity with SQL queries and scripting is an advantage.
• Awareness of database backup, restore, and security concepts.
• Eagerness to learn database administration and data science support.
• Certifications such as CompTIA Data+, Microsoft SQL Fundamentals, or Oracle Junior DBA are a plus.
• Strong problem-solving and communication skills.

Company Description

IJAN Africa, located in Lagos, Nigeria, is at the forefront of advancing Africa's digital and technology workforce. Our mission is to empower young people to lead prosperous professional lives through in-demand tech and non-tech digital skills. We offer training and certification in various fields including Data Analysis, Full-Stack Web Development, UI/UX, Product Design, Human Resources, and more. Additionally, we provide language proficiency programs in Spanish, German, and French to enhance global work opportunities for our participants.

Role Description

This is a full-time hybrid role for a Data Science Instructor based in Lagos, Nigeria. The Data Science Instructor will be responsible for developing lesson plans, teaching data science concepts, mentoring students, and grading assignments. The instructor will be expected to create an engaging learning environment and stay updated with industry trends. Some work from home is acceptable.

Qualifications

• Skills in Science Education, Physics, and Mathematics
• Qualified Teacher with Lesson Planning experience
• Strong communication and presentation skills
• Ability to work independently and as part of a team
• Experience in the tech industry is a plus
• Bachelor's or Master's degree in Data Science, Education, or a related field