Data Enmgineer – FMN Holdings at Flour Mills of Nigeria Plc

Flour Mills of Nigeria Plc was incorporated in September 1960 as a private limited liability company, and commenced operations in 1962 with an installed capacity of 600 metric tons per day. The Company was converted to a public limited liability company in 1978, and its shares were subsequently listed on The Nigerian Stock Exchange. In its 54 year history, Flour Mills has remained at the forefront of wheat milling in Nigeria. The Company’s flagship brand, Golden Penny, remains one of the best known and the preferred brands amongst bakers, confectioneries and consumers in Nigeria. Flour Mills has invested over N25billion in milling infrastructure over the last seven years, to maintain its competitive advantage. Today, Flour Mills has a rated milling capacity of over 8,000 metric tons per day, making it one of the largest single site mills in the world. The Company’s flagship mill located in Apapa, Lagos comprises of 10 integrated mills. Each mill was designed as a multilevel operation in order to optimize the use of gravity in the sifting process, thereby reducing the energy requirements. In addition, the Company maintains dedicated mills to the processing of different wheat varieties to produce different flour types. This has ensured consistent quality of its products for 50 years. The Apapa Mill also boasts of modern silos with a storage capacity to 191,000 metric tons. Flour Mills has also made significant investments in power generation. The Company has 11 General Electric (GE) Jenbacher gas generators at its Apapa Mills, with a combined capacity of 30 megawatts. This has enabled the company to reduce the occurrence of production stoppages. In addition, the Company has a 30megawatt diesel plant at the same site to act as a backup in the event of any shortage of feedstock to the gas generators.
Purpose 

To build, maintain, and optimize scalable data pipelines and infrastructure that support enterprise reporting, analytics, business intelligence, and AI initiatives across the Group.

The Job

Design, develop, and maintain ETL/ELT pipelines using Microsoft Azure Data Factory and Microsoft Fabric.
Integrate data from ERP systems (AX 2012, D365), SQL databases, APIs, and third-party platforms into centralized data environments.
Implement and manage Lakehouse architectures using Microsoft Fabric, OneLake, and Delta technologies.
Monitor data pipeline performance, troubleshoot failures, and resolve data processing issues to ensure high system reliability.
Develop and maintain scalable data models that support business intelligence, analytics, and reporting requirements.
Ensure data quality by implementing validation checks, cleansing processes, and governance controls across all data sources.
Apply DevOps best practices including CI/CD, version control, automated deployments, and code management.
Collaborate with business analysts, data teams, and stakeholders to translate business requirements into technical data solutions.

Requirements

HND/Bachelor's Degree in Computer Science, Information Technology, Data Science, Engineering, or a related discipline.
​Minimum of 3–6 years' experience in Data Engineering, Data Integration, Data Warehousing, or Data Platform Development.

The Person Must: ​

Possess strong expertise in data engineering, data integration, and cloud-based data platforms.
Demonstrate advanced proficiency in SQL, Azure Data Factory, Microsoft Fabric, APIs, and data modelling techniques.
Have strong analytical and problem-solving skills with the ability to identify and resolve complex data quality issues