Data Engineer

Sabenza IT & Recruitment; Paarl; On-site; ZAR 500 000 - 700 000; Full time

Job summary

A leading recruitment firm in South Africa is seeking a Data Engineer to manage data infrastructure and create solutions for the agriculture industry. You will work on data projects supporting operations and analytics initiatives in a cross-functional team. Ideal candidates should have a Bachelor's degree in a relevant field, experience in ETL processes, and fluency in Afrikaans is mandatory.

Qualifications

• Proven experience in designing and implementing data solutions, ETL pipelines, and data warehouses.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and draw out insights.
• Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams.
• Attention to detail and commitment to delivering high-quality work.
• Experience working in an agile development environment is a plus.
• Fluency in Afrikaans is Mandatory.

Responsibilities

• Use appropriate data science tools to solve problems and drive decision-making.
• Manage relationships with a variety of stakeholders to support the delivery of a project.
• Collaborate with engineers and business stakeholders to understand project goals.
• Build ETL pipelines to ensure efficient data processing and analysis.
• Translate data into informative reports and draw out insights.
• Ensure data quality and integrity, and optimize data pipelines.

Skills

ETL Pipelines

Python

R

SQL

Education

Bachelor’s degree in Data Science, Business Analytics, Engineering, or a related field.

Job description

Job Description

Our client, a South African company that provides a supply chain optimization platform for the fruit industry are seeking a Data Engineer to join our growing team based in Paarl, Western Cape. This is an exciting chance to work on real-world data projects in the agriculture industry, supporting operations, logistics, and analytics initiatives.

As a Data Engineer, you will play a key role in managing our data infrastructure and creating data-driven solutions to support our business objectives. You will be part of a cross-functional team of engineers, business stakeholders, and data scientists, working together to deliver innovative products and services.

Responsibilities

• Use appropriate data science tools to solve problems and drive decision-making.
• Manage relationships with a variety of stakeholders to support the delivery of a project, ensuring that project goals and objectives are met.
• Collaborate with engineers and business stakeholders to understand project goals and interpret users' intent.
• Build ETL pipelines to ensure efficient data processing and analysis.
• Translate data into informative reports and use rich visuals to draw out insights, supporting the business with making data-driven decisions.
• Ensure data quality and integrity, and optimize data pipelines to enable efficient data analysis and processing.

Requirements

• Bachelor’s degree in Data Science, Business Analytics, Engineering, or a related field.
• Proven experience in designing and implementing data solutions, ETL pipelines, and data warehouses.
• Experience with data science tools such as Python, R and SQL.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and draw out insights.
• Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams.
• Attention to detail and commitment to delivering high-quality work.
• Experience working in an agile development environment is a plus.

NB : Fluency in Afrikaans is Mandatory

Key Skills

ETL Pipelines, data warehouse, Python, R SQL