Head, Data Engineering

Company 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.

Job Description

To own and account for a large application platform or a collection of application platforms that deliver a capability/service. To deliver deep specialist technical expertise, leadership in the design, build, securing, monitoring of data pipelines and data stores to applicable architecture, solution designs, standards, and governance requirements. To guide teams to apply suitable technologies/approaches and quality end-to-end data solutions to deliver Engineering excellence.

Qualifications

Minimum Qualifications
Type of Qualification: Bachelor's Degree
Field of Study: Business Commerce / Information Studies / Information Technology
Other Minimum Qualifications, Certifications or Professional Memberships:

• MS SQL, Data Lake technologies & databases, Cloud data engineering tooling, services & storage layers (Synapse, S3, Spark and ADLS etc.),
• Structured, semi-structured & unstructured. Certification in Data usage, Data Engineering, DEVOPS, Security and Analytics services

Experience Required

Information Lifecycle Management

8-10 years strong experience in working with large, heterogeneous datasets in building and optimising data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. Knowledge of integration patterns, styles, protocols and systems theory.

Enterprise Technology & Solutions Architecture

8-10 years experience building databases, warehouses, reporting and data integration solutions, optimise big data data-pipelines, architectures and data sets. Create and integrate APIs. Perform root cause analysis on internal and external data and processes and identify opportunities for improvement. Work with data science teams to refine and optimise data science and machine learning models, algorithms. Work with IT and business while integrating analytics and data science output into business processes and workflows

Software Engineering

More than 10 years experience database programming languages ie SQL, PL/SQL, SPARK and or appropriate data tooling, data pipeline and workflow management tools. Work across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerisation techniques. Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines to improve the communication, integration, reuse and automation of data flows between data consumers.

Additional Information

Behavioural Competencies:

• Providing Insights
• Examining Information
• Checking Details
• Articulating Information
• Team Working

Technical Competencies:

• Big Data Frameworks and Tool
• Data Architecture
• Data Engineering
• Data Integrity
• IT Knowledge