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Position Title: Jr. Data Engineer And Analytics
Employer: HABTech Solutions PLC
Employment: Full-Time | Permanent
Place of Work: Addis Ababa - Ethiopia
Posted date: 1 week ago
Deadline: Submission date is over
About the Company
HABTech Solutions PLC is looking for a motivated Junior Data Engineer & Analytics professional to join our team in Addis Ababa. This hybrid role combines data engineering and analytics to support organizational operations and data-driven decision-making.
The ideal candidate is someone who can build robust data pipelines, manage databases, analyze datasets, and create insightful reports and dashboards. The role also involves documentation, collaboration with cross-functional teams, and contributing to machine learning initiatives under guidance.
Key Responsibilities
Data Engineering
- Design, build, and maintain data pipelines and ETL processes (ingestion, linking, transformation).
- Work with open-source tools such as Apache Airflow, Airbyte, and dbt, and Python libraries such as pandas.
- Manage and optimize relational and columnar databases (e.g., PostgreSQL, ClickHouse).
- Ensure database structure supports efficient storage and data processing.
Data Analytics
- Clean, prepare, and transform raw datasets for analysis.
- Perform statistical analysis to identify patterns, trends, and actionable insights.
- Create interactive dashboards and reports using tools such as Power BI or Apache Superset.
- Support early-stage machine learning models and experimentation.
Quality, Compliance & Documentation
- Implement data quality checks and validation procedures.
- Ensure data privacy and security compliance.
- Prepare documentation and support internal/external training sessions.
Collaboration
- Work closely with internal teams and external stakeholders (e.g., public health offices and digital systems teams).
- Translate technical insights into clear, understandable outputs for non-technical audiences.
Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
Technical Skills
- Strong proficiency in Python and SQL for data manipulation.
- Hands-on experience with ETL/workflow orchestration tools:
- Apache Airflow, Airbyte, dbt
- Familiarity with data visualization tools:
- Power BI, Apache Superset
- Understanding of relational and columnar databases:
- PostgreSQL, ClickHouse
Interpersonal & Soft Skills
- Strong analytical and problem-solving ability.
- Excellent communication and teamwork skills.
- Ability to explain technical concepts to non-technical audiences.
- Eagerness to learn and stay updated with new data technologies.
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