Junior Data Engineer

Poimaine; Paarl; On-site; ZAR 200 000 - 300 000; Full time

Job summary

A fast-growing startup in the agriculture industry is seeking a highly motivated Data Engineer. You will manage data infrastructure, create data-driven solutions, and collaborate with cross-functional teams. Applicants should have a Bachelor’s degree and proven experience in ETL pipeline design and implementation. The role emphasizes strong analytical skills and attention to detail, suited for a dynamic and innovative environment. This position is located in Paarl, Western Cape, South Africa.

Qualifications

• Proven experience in designing and implementing data solutions and ETL pipelines.
• Strong analytical and problem-solving skills.
• Attention to detail and commitment to delivering high-quality work.

Responsibilities

• Use data science tools to solve problems and drive decision-making.
• Manage relationships with stakeholders to support project delivery.
• Build ETL pipelines for efficient data processing.

Skills

Python

R

SQL

Analytical skills

Problem-solving

Communication

Education

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

Job description

SUMMARY : POSITION INFO :

Seeking a highly motivated Data Engineer to join a fast-growing startup company in the agriculture industry. As a Data Engineer, you will play a key role in managing the data infrastructure and creating data-driven solutions to support 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.