Junior Data Engineer (Citrusdal)

Recru-it; Stellenbosch; On-site; ZAR 200 000 - 300 000; Full time

Job summary

A dynamic startup in the agriculture sector is looking for a motivated Data Engineer to manage their data infrastructure and build data-driven solutions. The role involves working within a cross-functional team to deliver innovative products and collaborating on projects that support business objectives. Requirements include a degree in Data Science or a related field, along with experience in implementing data solutions and proficiency in tools like Python and SQL.

Qualifications

• 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.

Responsibilities

• Use appropriate data science tools to solve problems and drive decision-making.
• Build ETL pipelines to ensure efficient data processing and analysis.
• Translate data into informative reports and use rich visuals to draw out insights.

Skills

Data Science tools (Python, R, SQL)

Analytical skills

Problem-solving

Communication skills

Education

Bachelor’s degree in Data Science or related field

Tools

ETL tools

Job description

SUMMARY

Our client is seeking a highly motivated Data Engineer to join their fast-growing startup company in the agriculture industry. As a Dataw 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.

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.