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Data Engineer at Union Bank of Nigeria

Union Bank of NigeriaLagos, Nigeria Data and Artificial Intelligence
Full Time
Union Bank of Nigeria ("UBN”) was established in 1917 and is one of Nigeria’s long-standing and most respected financial institutions, offering a portfolio of banking services to individuals, SMEs, commercial and corporate clients. With a robust geographical network comprising more than 300 branches and over 650 ATMs spread across Nigeria, we have remained committed to helping individuals, families and businesses grow for nearly a century. We are committed to being widely recognised as a highly respected provider of quality banking services. Our ambition is hinged on successfully delivering against six strategic pillars including quality of our customer experience, client base, talent, banking platform, professional standards and earnings. Aggressive execution of our strategy is underway, leveraging a robust transformation team largely focused on people, processes and technology. Our recent awards and recognitions include Business Day Award for "best bank to support Nigeria’s small and medium scale enterprises”, Central Bank of Nigeria Award as the best bank in Agricultural Credit Guarantee Scheme Fund in Nigeria, MasterCard cashless champion awards: Cashless POS Activation Champion and first Nigerian bank awarded the latest Payment Card Industry Data Security Standard (PCI DSS) Version 3.0 certification. With our unrelenting commitment to our transformation, we are repositioning Union Bank as a strong player in the Nigerian banking sector - A Simpler, Smarter Bank.

About the job

  • The ideal candidate for this data engineer role is a skilled professional responsible for designing, implementing, and managing data infrastructure.
  • They play a critical role in collecting, storing, and processing data, ensuring it is accessible and usable for data analysts and scientists.
  • The data engineer works with various data sources, databases, and big data technologies to create efficient data pipelines.
  • They are proficient in programming languages like Python and SQL and work with ETL (Extract, Transform, Load) tools to cleanse and transform data.
  • The data engineer will collaborate closely with data scientists and analysts to understand their data requirements and ensure the data infrastructure meets those needs.
  • Their work is instrumental in helping the organization make data-driven decisions, optimize processes, and derive valuable insights from vast datasets.
  • Strong problem-solving skills, attention to detail, and knowledge of data warehousing and cloud computing are essential attributes for you to be successful in this role.

Method of Application

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