SAP DATA ENGINEER at Dangote Industries Limited

Job Title: SAP DATA ENGINEER at Dangote Industries Limited

Date Posted: 9th January, 2026.

Expiry Date: N/A

About the Job

As a SAP Data Engineer, your role involves extracting, integrating, and transforming data from diverse sources to meet business requirements. You will work collaboratively with SAP developers, data analysts, IT professionals, and business users to align data architecture with organisational priorities.

Your Job Description

Responsibilities

Design, develop, and maintain SAP BW/eHANA solutions.
Execute data extraction, transformation, and loading (ETL/ELT) using SAP BW and HANA.
Create custom data extractions and transformations leveraging ABAP programming.
Build and manage data models, schemas, and calculation views in SAP HANA Studio.
Develop and optimize SAP BW Process Chains for automation and job orchestration.
Implement scalable and reliable data pipelines using cloud platforms such as AWS or Snowflake.
Integrate data from various sources, including SAP S/4HANA, APIs, SQL Server, and S3.
Monitor and enhance data pipeline performance, ensuring data integrity and consistency.
Collaborate with stakeholders to translate business requirements into technical solutions.
Document data engineering processes and recommend continuous improvements.

The Job Requirements

Required Skills and Expertise

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
4+ years of experience as a Data Engineer or in similar roles.
Strong proficiency in SAP BW / BW/4HANA Administration and Eclipse.
Expertise in SAP BW/4HANA, including advanced modelling techniques such as ADSOs, Open ODS, and Composite Providers.
Proven experience working with SAP S/4HANA tables and structures.
Proficiency in ABAP for custom data extractions and transformations.
Knowledge of cloud platforms (AWS, Snowflake) and automated data transformation tools such as dbt and Informatica.
Familiarity with SAP Analytics Cloud, Power BI, and other data visualization tools.
Solid understanding of data governance, data warehousing, and modelling principles.
Ability to write and optimize SQL queries.
Onsite availability required.

Benefits

Private Health Insurance.
Paid Time Off.
Opportunities for professional growth and career advancement.
Training and development programs.
Competitive salary.
Collaborative and supportive work environment.

Method of Application: Click on this link to get detailed information and apply