EthioChicken is a leading distributor of chickens to rural farmers in Ethiopia. We are a rapidly growing Company that believes in investing in our employees and offers them opportunities for career advancement. EthioChicken is an Ethiopian based company.  

Our Vision:

Our vision is to provide one chicken per person per year through smallholder farmers.

Our Purpose:

Our purpose is making farmers of Ethiopia healthier and wealthier.

The Junior Data Engineer is an essential role on the EthioChicken / Hatch Africa team, supporting the design, development, and maintenance of data pipelines that enable data-driven decision-making across the organization. This role is ideal for a motivated individual with a strong foundation in data concepts, eager to grow their expertise in cloud platforms (Microsoft Azure and Google Cloud Platform) and modern data engineering practices. Working closely with senior data engineers, data analysts, and software engineers, the Junior Data Engineer will ensure data availability, integrity, and performance to support business intelligence and analytics needs across Hatch Africa’s operations in Ethiopia and six other markets.

This role requires a passion for solving data challenges, a willingness to learn, and the ability to collaborate with cross-functional teams to deliver reliable data solutions. Experience with ETL (Extract, Transform, Load) processes, cloud data platforms, and relational databases is preferred, with opportunities to develop skills under the mentorship of experienced data professionals.

ROLE KEY PERFORMANCE INDICATORS

• 95%+ uptime and reliability of supported data pipelines.

• 100% of assigned data integration tasks completed on time with minimal errors.

• <10% variance in data quality issues identified during pipeline validation.

• Successful completion of at least one data engineering project under senior engineer guidance within the first six months.

• Demonstrated growth in technical skills through active participation in training and mentorship programs within the first year.

Duties and Responsibilities

Data Pipeline Development & Support

• Assist in designing, building, and optimizing data pipelines and ETL/ELT workflows using Azure (e.g., Azure Data Factory, Synapse Analytics) and GCP (e.g., Big Query, Dataflow).

• Support the development and maintenance of data lakes, warehouses, and processing systems for structured and unstructured data.

• Monitor and troubleshoot data pipelines to ensure performance, reliability, and cost-efficiency.

Data Integration

• Support the integration of data from diverse sources (e.g., ERP systems, spreadsheets, mobile apps) into centralized platforms.

• Assist in maintaining master data standards to ensure consistency and comparability across markets.

• Collaborate with reporting and functional teams to identify opportunities for pipeline automation.

Performance & Documentation

• Monitor data processes for performance and reliability, escalating issues to senior engineers as needed.

• Contribute to documentation of data models, workflows, and processes to support team knowledge sharing.

• Participate in implementing data governance practices, including data quality, lineage, and access management.

Collaboration & Learning

• Work closely with data analysts, data scientists, and business teams to deliver clean, reliable datasets for analytics and reporting.

• Translate basic business needs into technical data solutions under senior engineer guidance.

• Actively engage in mentorship and training to develop technical expertise in data engineering tools and practices.

Job Requirements

REQUIRED QUALIFICATIONS

Experience: 0–2 years of experience in data engineering, data analysis, or a related field (internships or academic projects included).

Technical Skills:

• Basic proficiency in programming languages such as Python or SQL.

• Foundational knowledge of relational databases and SQL (e.g., Azure SQL Database, Big Query).

• Familiarity with data concepts such as ETL/ELT processes, data modeling, or APIs.

• Exposure to cloud platforms (e.g., Azure, GCP) is a plus.

• Strong analytical and problem-solving skills with a willingness to tackle data challenges.

Collaboration: Good communication and teamwork skills, with a demonstrated ability to work in cross-functional teams.

Education: Bachelor's degree in computer science, Information Systems, Engineering, or a related field (or equivalent practical experience).

PREFERRED QUALIFICATIONS

• Exposure to ETL/ELT tools (e.g., Azure Data Factory, Apache Airflow, Google Cloud Composer).

• Basic understanding of real-time data processing or streaming technologies (e.g., Azure Stream Analytics, Google Cloud Dataflow).

• Familiarity with data visualization tools (e.g., Power BI, Looker Studio).

• Knowledge of Business Central ERP or APIs (e.g., REST API, Django, FastAPI).

• Interest in DevOps practices (e.g., CI/CD pipelines) or containerization tools (e.g., Docker).

WHAT WE OFFER

• Opportunity to work with modern data platforms (Azure, GCP) and cutting-edge data engineering tools.

• Mentorship from experienced data engineers and a collaborative, growth-oriented team environment.

• Exposure to impactful, real-world projects that drive business decisions across Ethiopia and Hatch Africa’s six other markets.

• A clear growth path toward becoming a skilled Data Engineer, with access to training and development opportunities.

• A supportive workplace committed to employee growth, sustainability, and female empowerment.

How To Apply

Please title your application with the subject line: - "Junior Data Engineer”

Only candidates meeting the required qualifications are invited to send their applications (Cover Letter) including a detailed CV to careers@ethiochicken.com 

Women are highly encouraged to apply