Data Engineer (CRM Specialist) Job at Eat 'N’ Go Limited

Eat 'N’ Go Limited is a restaurant group on a mission to become the premier food operator in Africa. So far, our growing family consists of three international brands, Domino's Pizza, Cold Stone Creamery & Pinkberry. Eat ‘N’ Go limited officially started operation in August 2012 with the premier store at 4, Saka Tinubu Victoria Island, Lagos. Today, Eat N' Go has about 100 stores (outlet) across Nigeria and still growing.


We are recruiting to fill the position of:

Job Position: Data Engineer (CRM Specialist)

Job Location: Victoria Island, Lagos
Employment Type: Full-time

Job Description

  • As a Data Engineer, your primary responsibility is to design, build and maintain a database system that will support the needs of a company's CRM analytics and BI projects.
  • Your job will require you to work with business analysts, data analysts, and other stakeholders to ensure that the database system is optimized for data collection, storage, and analysis.

Responsibilities

  • Design and implement a scalable and robust database architecture that will support the company's CRM analytics needs.
  • Collaborate with data analysts and other stakeholders to identify new data sources and opportunities for data-driven insights.
  • Develop and maintain ETL (Extract, Transform, Load) processes that will allow data to be transferred from various sources into Data Warehouse.
  • Design, develop, and maintain the data warehouse and associated ETL processes that support the BI system.
  • Monitor database performance and troubleshoot any issues that arise.

Qualifications

  • A Bachelor's or Master's Degree in Computer Science, Engineering, Mathematics, or a related field.
  • Familiar with data security and privacy regulations and best practices.
  • Strong problem-solving skills, as well as the ability to work independently, are essential.
  • Knowledge on SQL, Python, Java, Hive, Spark, Kafka and ETL tools.
  • Knowledge in CRM analytics and Power BI is plus.
  • Familiar with cloud computing platforms such AWS, Microsoft Azure environment, or Google Cloud platform.
  • Strong hands-on experience in Data Engineering
  • Expertise in database design and development, data modelling, ETL processes, and data warehousing
  • Should possess strong Analytical skills.

Additional Information: Only qualified candidates will be contacted.