Manager, Data Engineering

Standard Bank Group; Roodepoort; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A leading financial services group seeks a Data Engineer to develop and maintain data architecture. The role involves designing data pipelines and ensuring data accessibility for evaluation. Ideal candidates will have extensive experience in data engineering and integration.

Qualifications

• 5-7 years experience in building databases and data integration solutions.
• 8-10 years experience in data pipelining and optimization.

Responsibilities

• Develop and maintain data architecture across multiple platforms.
• Design, build, and monitor data pipelines and stores.

Skills

Data Engineering

Stakeholder Management

Data Quality

Education

First Degree in Business Commerce

First Degree in Information Studies

First Degree in Information Technology

Tools

SQL

PL/SQL

SPARK

Job description

Company Description

Standard Bank Group is a leading Africa-focused financial services group and an innovative player on the global stage. We offer a variety of career-enhancing opportunities and 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 are passionate about creating growth in Africa, bringing meaningful value to our clients and communities, and creating a sense of purpose for our employees.

Job Description

The role involves developing and maintaining comprehensive data architecture across multiple application platforms. Responsibilities include designing, building, operationalizing, securing, and monitoring data pipelines and data stores in accordance with architecture standards, solution designs, policies, and governance. The goal is to make data accessible for evaluation and optimization for downstream use cases. The role requires executing data engineering duties according to established standards, frameworks, and roadmaps.

Qualifications

• Type of Qualification: First Degree
• Field of Study: Business Commerce, Information Studies, Information Technology

Experience Required

• 5-7 years: Experience in building databases, warehouses, reporting, and data integration solutions. Building and optimizing big data pipelines, architectures, and datasets. Creating and integrating APIs. Performing root cause analysis on data and processes to answer business questions and identify improvement opportunities.
• 8-10 years: Deep understanding of data pipelining, performance optimization, data principles, and organizational data integration including customer, product, and transactional data. Knowledge of integration patterns, styles, protocols, and systems theory.
• 8-10 years: Experience in database programming languages such as SQL, PL/SQL, SPARK, and relevant data tooling. Experience with data pipeline and workflow management tools.

Additional Information

Behavioural Competencies

• Adopting Practical Approaches
• Articulating Information
• Checking Things
• Developing Expertise
• Documenting Facts
• Embracing Change
• Examining Information
• Interpreting Data
• Managing Tasks
• Producing Output
• Taking Action
• Team Working

Technical Competencies

• Big Data Frameworks and Tools
• Data Engineering
• Data Integrity
• Data Quality
• IT Knowledge
• Stakeholder Management (IT)