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Data Engineer Jobs in Nigeria

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  • Lorgarithm logo

    Data Engineer

    LorgarithmLagos, Nigeria15 May

    Lorgarithm is a global recruitment, and talent Factory located within the hearth of Africa.Position Overview: We are seeking a highly skilled and motivated ...

  • Procept Associates Professional Services Limited logo

    Data Engineer

    Procept Associates Pr..Lagos, Nigeria15 May

    Procept Associates Ltd. was formed in Canada in 1983 to provide project management advisory and training services, initially to engineering and construction ...

  • Sahara Group logo

    Data Engineer

    Sahara GroupLagos, Nigeria03 May

    Sahara Group is a leading privately owned Power, Energy, Gas and Infrastructure Conglomerate established in 1996 with operating companies active in the ...

  • Flutterwave logo

    Senior Data Engineer

    FlutterwaveLagos, Nigeria02 May

    Our mission is to power a new wave of prosperity across Africa. By enabling global digital payments on a continent that’s been largely cut off from the ...

  • Smarterise Integrated Solution logo

    Data Engineer

    Smarterise Integrated..Lagos, Nigeria30 April

    A unique quantitative approach to power Our team is experienced in running alternative energy operations and versed in energy related costsJob Description: As ...

  • Infinion Technologies logo

    Data Engineer

    Infinion TechnologiesLagos, Nigeria22 April

    Infinion Technologies - We are a technology and business solutions Company established with the objective of providing world class solutions to Enterprise ...

  • Migo Money Inc logo

    Data Engineering Lead

    Migo Money IncLagos, Nigeria17 April

    Migo Money Inc is a cloud-based platform that enables companies to offer credit to their consumer and small business customers. Leveraging proprietary ...

  • Kuda Bank logo

    Intern Data Engineer

    Kuda BankLagos, Nigeria17 April

    Kuda is a full-service, app-based digital bank. Our mission is to be the go-to bank not just for those living on the African continent, but also for the ...

  • Coca-Cola logo

    Tech Lead - Data Engineer

    Coca-ColaNigeria16 April

    Coca-Cola is the most popular and biggest-selling soft drink in history. An icon of all times, Coca-Cola is the best-known product in the world. Created in ...

  • IpNX Nigeria Limited logo

    Data Engineer

    IpNX Nigeria LimitedLagos, Nigeria16 April

    ipNX Nigeria Limited is a leading provider of infrastructure-based Telecommunications and Information Technology services here in Nigeria. Leveraging more than ...

  • Tezza Business Solutions Ltd logo

    Data Engineer

    Tezza Business Soluti..Lagos, Nigeria06 April

    Tezza”(te-zza) from the Italian word "Completezza” embodies our commitment to providing IT and Business Solutions that are comprehensive, through ...

  • Tezza Business Solutions Ltd logo

    Data Engineer

    Tezza Business Soluti..Lagos, Nigeria05 April

    Tezza”(te-zza) from the Italian word "Completezza” embodies our commitment to providing IT and Business Solutions that are comprehensive, through ...

  • Conclase Consulting logo

    Data Engineer

    Conclase ConsultingLagos, Nigeria03 April

    At Conclase Consulting, we provide top notch IT solutions and support services to help you transform your business into an Intelligent Enterprise, redefine the ...

  • MTN Nigeria logo

    Analyst - Data Engineer

    MTN NigeriaLagos, Nigeria26 March

    MTN Nigeria is part of the MTN Group, Africa\'s leading cellular telecommunications company. On May 16, 2001, MTN became the first GSM network to make a ...

  • Dufil Group logo

    Data Engineer

    Dufil GroupLagos, Nigeria21 March

    Over the past 17 years in the Nigerian market, Dufil Group has had a remarkable impact on the Nigerian culinary Landscape. Their Product, Indomie Instant ...

  • SnappyCX logo

    Data Engineer

    SnappyCXLagos, Nigeria20 March

    We are a leading company specializing in omnichannel customer support, committed to delivering top-quality customer experiences at affordable prices. With a ...


Who is a data engineer?

Data engineers are responsible for designing, maintaining, and optimizing data infrastructure for data collection, management, transformation, and access. They are in charge of creating pipelines that convert raw data into usable formats for data scientists and other data consumers to utilize. The data engineer role evolved to handle the core data aspects of software engineering and data science; they use software engineering principles to develop algorithms that automate the data flow process. They also collaborate with data scientists to build machine learning and analytics infrastructure from testing to deployment. Data engineers help organizations structure and access their data with the speed and scalability they need and provide the infrastructure to enable teams to deliver great insights and analytics from that data.

Roles and responsibilities of a data engineer

  1. Work on Data Architecture: They use a systematic approach to plan, create, and maintain data architectures while also keeping them aligned with business requirements.

  2. Collect Data: Before initiating any work on the database, they have to obtain data from the right sources. After formulating a set of dataset processes, data engineers store optimized data.

  3. Conduct Research: Data engineers conduct research in the industry to address any issues that can arise while tackling a business problem.

  4. Improve Skills: They must keep themselves up-to-date with machine learning and its algorithms like the random forest, decision tree, k-means, and others. They are proficient in analytics tools like Tableau, Knime, and Apache Spark. They use these tools to generate valuable business insights for all types of industries. For instance, data engineers can make a difference in the health industry and identify patterns in patient behaviour to improve diagnosis and treatment. Similarly, law enforcement engineers can observe changes in crime rates.

  5. Create Models and Identify Patterns: Data engineers use a descriptive data model for data aggregation to extract historical insights. They also make predictive models where they apply forecasting techniques to learn about the future with actionable insights. Likewise, they utilize a prescriptive model, allowing users to take advantage of recommendations for different outcomes. A considerable chunk of a data engineer’s time is spent on identifying hidden patterns from stored data.

  6. Automate Tasks: Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.

Data Engineer job skills

  • Big data architect

  • Solutions Architect

  • Machine learning architect

  • Technical Architect

  • Data warehouse developer

  • Business intelligence developer

What are data engineer skills?

  1. SQL: SQL serves as the fundamental skill set for data engineers. One cannot manage an RDBMS (relational database management system) without mastering SQL. 

  2. Data Warehousing: Get a grasp of building and working with a data warehouse; it is an essential skill. Data warehousing assists data engineers in aggregating unstructured data, collected from multiple sources. It is then compared and assessed to improve the efficiency of business operations.

  3. Data Architecture: Data engineers must have the required knowledge to build complex database systems for businesses. It is associated with those operations that are used to tackle data in motion, data at rest, datasets, and the relationship between data-dependent processes and applications.

  4. Coding: To link your database and work with all types of applications – web, mobile, desktop, IoT – you must improve your programming skills. For this purpose, learn an enterprise language like Java or C#. The former is useful in open-source tech stacks, while the latter can help you with data engineering in a Microsoft-based stack. However, the most necessary ones are Python and R. An advanced level of Python knowledge is beneficial in a variety of data-related operations.

  5.  Operating System: You need to become well-versed in operating systems like UNIX, Linux, Solaris, and Windows.

  6. Apache Hadoop-Based Analytics: Apache Hadoop is an open-source platform that is used to compute distributed processing and storage against datasets. They assist in a wide range of operations, such as data processing, access, storage, governance, security, and operations. With Hadoop, HBase, and MapReduce, you can further your skill sets.

  7. Machine Learning: Machine learning is mostly linked to data science. However, if you can have some idea of how data can be used for statistical analysis and data modelling, it will serve you well during your job as a data engineer.