Data Engineer

Access Bank Plc; Gauteng; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading financial institution in Gauteng is seeking a Data Engineer to oversee data integration, develop data models, and manage a team of engineers. The ideal candidate will have 4-7 years of experience in data engineering, data warehousing, and be skilled in data analysis and visualization. The role involves collaborating with business stakeholders to enhance data management practices and mentoring junior team members. Competitive benefits including medical aid and training opportunities are offered.

Benefits

Medical Aid

Provident Fund

Group Life Cover

Income Disability Cover

Funeral Cover

Training & Development

Qualifications

• 4-7 years of experience in data engineering or a related field.
• Data warehousing and integration experience.
• Ability to perform complex data analysis.

Responsibilities

• Oversee data integration work including developing data models.
• Collaborate with technical teams to ensure data alignment.
• Lead a team of data engineers to manage data infrastructure.

Skills

Excellent visualization skills and data storytelling capability

Ab Initio experience of the ETL (GDE), Express, IT, Metadatahub

Knowledge of cloud computing platforms (GCP, AZURE, AWS)

Strong knowledge of data management concepts and technologies

Robust skills in documentation creation

Education

Degree or HND in an analytical field

Job description

Job Mission / Objective

The Data Engineer will oversee the department's data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis.

You will also collaborate with other technical teams and business stakeholders to ensure our data management practices align with business goals and industry standards.

This position involves working effectively with the business units with the primary mandate of enabling them with insights and decision support capabilities to drive good quality business decisions.

As a Data Engineer, you will also be responsible for researching and implementing new technologies and methodologies to improve our data infrastructure and processes.

You will also be expected to mentor and coach junior team members and contribute to the development of our data engineering strategy and roadmap.

Requirements – Operational Delivery

• Gathers business requirements, executes projects and derives business insights.
• Collects data and builds fit for purpose dashboards and reports based on requirements.
• Troubleshooting of data issues and providing fit for purpose solutions with data engineering best practices.
• Complete projects / tasks assigned or working with other staff (internal / external) and following up on assigned projects / tasks.

Partnering with Business Stakeholders

Partnering with business stakeholders to unpack data management requirements and design for future requirements based on future needs.

Collaborate with stakeholders across the organization to ensure data quality, accuracy, and security.

Team Leadership

Lead and manage a team of data engineers responsible for designing, building, and maintaining robust data infrastructure and systems.

Data Engineering

• Design and implement robust Extract Transform Load (ETL) frameworks and processes.
• Design and implement robust data integration strategies and processes.
• Develop and implement data management (architecture and integration) policies, procedures, and best practices.
• Manage data engineering projects and ensure timely delivery of high-quality results.
• Develop and implement databases, data collection systems and enable data analytics.
• Acquire and integrate data from different sources and enable integrated reporting.
• Recruit, train, and mentor data engineering team members to promote growth and professional development.

Qualification Requirements

• A Degree, or Higher National Diploma, or equivalent certification in an analytical field, e.g. Informatics, Data Science, Commerce.
• Certification advantageous (SQL, Data Engineering, Architecture, Ab Initio etc.)
• 4-7 years of experience in data engineering or a related field.
• Data warehousing and integration experience.
• Ability to perform complex data analysis and data deep dives.
• Experience in building large data repositories.

Skills

• Excellent visualization skills and data storytelling capability.
• Ab Initio experience of the ETL (GDE), Express, IT, Metadatahub.
• Knowledge of cloud computing platforms (GCP, AZURE, AWS).
• Strong knowledge of data management concepts and technologies, including data modelling, ETL, data warehousing, and data visualization.
• Knowledge of business processes, IT processes, data, and associated applications.
• Experience analyzing and breaking down problems and information using structured frameworks and methodologies.
• Robust skills in documentation creation with a high attention to detail including planning and organization.
• Ability to think analytically and conduct customer-facing communications.

All appointments will be made in line with Access Bank's Employment Equity plan.

The Bank supports the recruitment and advancement of individuals living with disabilities.

In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis.

The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

Employees who apply and do not hear from HR within 30 days of the closing date may assume that their application was not successful, and we thank you for applying.

Benefits

• Medical Aid
• Provident Fund
• Group Life Cover
• Income Disability Cover
• Funeral Cover
• Training & Development