Senior Data Engineer X5 - Contract - Onsite

HR Genie; Randburg; On-site; ZAR 400,000 - 800,000; Full time

Job summary

An established industry player is on the lookout for a Senior Data Engineer to enhance their data lifecycle processes. This full-time role offers a chance to work on exciting data integration projects, ensuring high-quality data for business intelligence and analytics. You will collaborate with cross-functional teams to drive data-driven decision-making, design robust data models, and develop insightful dashboards. If you have a passion for data and a knack for innovative solutions, this is your opportunity to thrive in a supportive and growth-oriented environment.

Qualifications

• 5 years of data experience with a strong focus on data lifecycle management.
• Experience in data warehousing concepts is advantageous.

Responsibilities

• Develop sustainable data solutions and ensure adherence to standards.
• Design and implement data models, ETL processes, and dashboards.

Skills

Big Data Solutions

Business Analysis

Data Analysis

Data Analytics

Data Modeling

Data Structures

Unstructured Data

Education

Bachelor's degree in Computer Science

Equivalent qualification in Information Technology

Tools

Ab Initio

UNIX

SQL (DB2, MS SQL, Netezza)

Oracle

Azure Cloud

Job description

Our Client, a Global Tech firm, is seeking a Senior Data Engineer to join their team in Randburg on a contract basis. They offer stability, growth, attractive rates, and a great working environment.

Note this is a full-time onsite requirement and candidates are required to be fully vaccinated.

The Data Engineer skill is required to enable the data lifecycle within EDS, namely the ability to integrate data between the source system (golden / trusted) and the target database (LOB), hence providing good quality data by applying the necessary framework/s and governance to whoever may require it (BI and advanced analytics).

Key Roles and Responsibilities:

• Interpret requirements provided by the business and develop accurate and sustainable solutions from the planning stage through to the productionised solution.
• Analyse, interpret, and display data sets to ensure data-driven solutions that address challenges and business needs within organisations.
• Ensure solutions adhere to standards and best practices and participate in solution reviews to ensure all solutions fit within standards.
• Operate within project environments and participate in CII continuous improvement efforts.
• Design and develop data models, ETL processes, and pipelines to support data ingestion, transformation, and analysis.
• Work with cross-functional teams to identify data requirements, prioritize data initiatives, and drive solutions that enable data-driven decision-making.
• Develop and maintain dashboards, reports, and visualizations that provide insights into key business metrics and trends.
• Design and implement data quality and data validation processes to ensure the accuracy and consistency of data.
• Develop and maintain documentation for data models, data lineage, and data flow.

Qualifications:

• A bachelor’s degree in computer science, Information Technology, or equivalent qualification.
• 5 years of data experience.
• Data warehousing concepts is advantageous.
• Ab Initio development experience (on-prem and cloud) is essential.
• Exposure to UNIX and SQL (DB2, MS SQL, and Netezza) and Oracle.
• Exposure to Azure Cloud.
• An agile working approach is essential.
• Should be a self-starter who can work under minimal supervision.
• Able to work independently.

Skills Summary:

Big Data Solutions, Business Analysis, Data Analysis, Data Analytics, DATABASICS, Data Lake, Data Modeling, Data Structures, Unstructured Data.