Data Engineer

Standard Bank Group; Johannesburg; On-site; ZAR 400 000 - 600 000; Full time

Job summary

A leading financial services group in Johannesburg seeks a Data Engineer to develop and maintain data architecture across various platforms. The role involves designing and operationalizing data pipelines to ensure data accessibility for downstream use. Candidates should have a degree in Information Studies or IT and familiarity with tools like SSIS, Power BI, and Azure Cloud. This position offers a chance to join a passionate team focused on growth in Africa.

Qualifications

• Degree in Information Studies or Information Technology is required.
• Basic Cloud certificates in data engineering are needed.
• Hands-on experience in data modeling and warehousing is essential.

Responsibilities

• Develop and maintain data architecture across multiple platforms.
• Design, build, and monitor secure data pipelines.
• Execute data engineering duties per established standards.

Skills

Data modelling

Data warehousing

Extract, Transform and Load (ETL)

SSIS

Power BI

Python

Azure Cloud

DevOps

Education

Information Studies or Information Technology

Basic cloud certificates - DP-203 or DP-700 / DP-900

Tools

MS SQL

ADF

Synapse Analytics Studio

MS Fabric

Job description

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 develop and maintain complete data architecture across several application platforms, provide capability across application platforms. To design, build, operationalise, secure and monitor data pipelines and data stores to applicable architecture, solution designs, standards, policies and governance requirements thus making data accessible for the evaluation and optimisation for downstream use case consumption. To execute data engineering duties according to standards, frameworks, and roadmaps

Qualifications

• Information Studies or Information Technology
• Basic cloud certificates - DP-203 or DP-700 \ DP-900

Experience

• Data modelling & warehousing experience.
• Data pipelines experience - Extract, Transform and Load.
• Knowledge and experience in the following tools - SSIS, SSDT, Power BI, MS SQL, Python.
• Understanding of data quality issues and recon frameworks.
• Performance optimisation or code reverse engineering experience.
• Knowledge of setting up and using DevOps for deployments or at least better understanding of it.
• Azure Cloud Experience.
• Azure data engineering tools (Optional) e.g. ADF, Synapse Analytics Studio or MS Fabric

Behavioral Competencies

• Adopting Practical Approaches
• Articulating Information
• Checking Details
• 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)