SAP Data Engineer

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Date: 3 Dec 2025

Location: DANCOM HO-Lagos, DANCOM HO-Lagos, Nigeria

Company: Dangote Industries Limited

SAP DATA ENGINEER

 

Job Summary
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.

 

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 optimise 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 (SAP S4 HANA, APIs, SQL Server, 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.

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 similar roles.
  • Strong proficiency in SAP BW BW/4HANA Administration and Eclipse.
  • Expertise in SAP BW/4HANA, including advanced modelling techniques (e.g., ADSOs, Open ODS, Composite Providers).
  • Proven experience with SAP S4 HANA tables and structures.
  • Proficiency in ABAP for custom extractions and transformations.
  • Knowledge of cloud platforms (AWS, Snowflake) and automated data transformation tools (e.g., dbt, Informatica).
  • Familiarity with SAP Analytics Cloud, Power BI, and other visualization tools.
  • Solid understanding of data governance, warehousing, and modelling principles.
  • Ability to write and optimise 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.