Konga is a leading player in the Nigerian e-commerce space, with over a thousand (1000) employees across the country, over 30 offline retail stores, and many growing business subsidiaries such as KongaPay, Konga Travels, and Tours, Konga Express, etc.

  • Job Position: Data Engineer
  • Job Location: Lagos, Nigeria
  • Job Category: Mid Officer Level
  • Reports to: Lead, Data Engineering and Analytics

Job Description

  • We are searching for a talented and smart individual with a passion for the E-commerce space to function in the capacity of a Data Engineer.
  • The ideal candidate should be responsible for turning data into information, information into insight, and use insight to help enable business decisions.
  • The Data Engineer’s responsibilities include conducting full lifecycle analysis to include requirements, activities.
  • The Data Engineer will also monitor performance and quality control plans to identify improvements.

The ideal candidate will be responsible for:

  • Interpreting data, analyze results using statistical techniques, and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities
  • Analyzing data to effectively coordinate the installation of new systems or the modification of existing systems.
  • Monitoring business performance.
  • Communicating key project data to team members and building cohesion among teams.
  • Developing and executing project plans.
  • Applying mathematics and statistics to problem-solving initiatives.
  • Applying best practices and standard operating procedures.
  • Creating innovative solutions to meet our company’s technical needs.

Job Requirements

  • A bachelor’s degree in Mathematics, Computer Science, Information Management or Statistics, or any other related field will be an added advantage
  • Excellent knowledge of relational databases, SQL, and ORM technologies (JPA2, Hibernate)
  • Proficiency in software engineering tools
  • 3 to 5 years proven working experience as a data analyst or business data analyst
  • Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
  • Strong knowledge of and experience with reporting solutions (Power BI, Qlikview etc.), databases (SQL etc.), and ETL
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
  • Hands-on programming experience using relevant languages
  • Strong written and verbal communication and interpersonal skills
  • Creative problem-solving skills
  • Experience managing the software development lifecycle
  • The ability to prioritize activities and deliver projects on time and within budget
  • Strong coding skills.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings.

Why work with Konga?

  • A unique opportunity to work in a fast-paced, structured, and technologically driven environment
  • The opportunity to become part of a highly professional and dynamic team growing the eCommerce space in Nigeria
  • An unparalleled personal and professional growth as our longer-term objective is to train the next generation of leaders for our fast-growing businesses.

How to Apply

Interested and qualified candidates should apply by forwarding their updated CV to: gabriel.elachi@konga.com using “Data Engineer” as the subject of the mail.

Note: All CV’ should be in word doc and/or pdf formats.

Tagged as: Engineering, Information Technology, Technical