Junior Data Engineer - Paarl

DataFin; Wes-Kaap; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A fast-growing agriculture startup is seeking a highly motivated Data Engineer to manage their data infrastructure and create data-driven solutions. The ideal candidate will have a Bachelor's degree in Data Science and proven experience with ETL pipelines and data solutions. Responsibilities include using data science tools for decision-making, building ETL pipelines, and ensuring data quality. This role offers an opportunity to collaborate with a cross-functional team to drive the business's objectives.

Qualifications

• Proven experience in designing data solutions and ETL pipelines.
• Ability to manage relationships with stakeholders effectively.
• Experience in an agile development environment is a plus.

Responsibilities

• Use data science tools to drive decision-making.
• Build and manage ETL pipelines for data processing.
• Translate data into informative reports and visuals.

Skills

Python

R

SQL

Data analysis

Problem-solving

Education

Bachelor’s degree in Data Science or related field

Job description

ENVIRONMENT

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

DUTIES

• 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.
• Experience working in an agile development environment is a plus.

ATTRIBUTES

• 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.