Standard Bank Group
Financial Services
Engineer,Data
Neural analysis suggests this role is
optimal for mid candidates.
“Engineer, Data at Standard Bank Group. Skills: Data Engineering, Big Data, Cloud Platform, Power BI. Design data infrastructure. Construct data infrastructure”
Industry & Context.
Checking Things; Interpreting Data
What They're Looking For.
Must Have
First Degree in Computer Science, Engineering, Information Systems, or a related quantitative field, 5-7 years experience, Expert proficiency in SQL, Experience with large-scale relational database systems, Programming skills in Python or Scala, Experience with Big Data technologies, Experience designing and building solutions on at least one major Cloud Platform (AWS, Azure, or GCP), Familiarity with Data Warehousing concepts and tools, Familiarity with ETL scheduling and orchestration, Solid understanding of version control systems (Git), Experience with Power BI for data modelling, dataset preparation, and enabling business analytics consumption
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Design data infrastructure
Construct data infrastructure
Maintain data infrastructure
Ensure efficient flow of high-quality data
Adhere to financial regulations
Adhere to data governance standards
How You'll Work.
Communication Scope
Articulating Information
Full Job Description
Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you. The Data Engineer will be a critical contributor to the bank's data strategy, responsible for the design, construction, and maintenance of robust, scalable, and secure data infrastructure. This role is essential for enabling business intelligence, regulatory reporting, advanced analytics, and machine learning initiatives across the institution. The successful candidate will ensure the efficient flow of high-quality data from source systems to various consumption layers, strictly adhering to financial regulations and internal data governance standards. ## Qualifications Type of Qualification: First Degree Field of Study: Computer Science, Engineering, Information Systems, or a related quantitative field Experience Required 5-7 years * Expert proficiency in SQL and experience working with large-scale relational database systems. * Strong programming skills in Python or Scala for data manipulation and automation. * Demonstrated experience with Big Data technologies (e.g., Apache Spark, Apache Kafka). * Experience designing and building solutions on at least one major Cloud Platform (AWS, Azure, or GCP). * Familiarity with Data Warehousing concepts and tools, including ETL scheduling and orchestration (e.g., Airflow). * Solid understanding of version control systems (Git). * Experience with Power BI for data modelling, dataset preparation, and enabling business analytics consumption. ## Addition
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