Role Overview

As a Junior Data Engineer at Growth & Investment Agencies Ltd, you will support the design, development, and maintenance of our data pipelines and infrastructure. Working closely with data scientists and analysts, you’ll ensure that high‑quality, well‑structured data is available to power insights and strategic decision‑making across our African market engagements.

Key Responsibilities

• Data Pipeline Development: Build and maintain ETL/ELT workflows to ingest data from internal systems, APIs, and third‑party sources

• Data Modeling & Transformation: Design and implement data models, schemas, and transformations to prepare datasets for analysis

• Database Management: Administer relational (e.g., PostgreSQL) and cloud‑native (e.g., BigQuery, Snowflake) data warehouses

• Data Quality & Validation: Implement automated checks, monitoring, and alerting to ensure data accuracy and completeness

• Performance Optimization: Tune queries, indexes, and workflows for reliability and scalability

• Documentation & Best Practices: Write clear technical documentation, data dictionaries, and coding standards

• Collaboration: Partner with data scientists, analysts, and DevOps to integrate data solutions into production applications

• Security & Compliance: Apply data‑security best practices, including access controls and encryption, to safeguard sensitive information

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field

• 1–2 years of hands‑on experience in data engineering or software development

• Proficiency in Python or Java for data manipulation and pipeline scripting

• Experience with SQL and relational databases (e.g., PostgreSQL, MySQL)

• Familiarity with cloud platforms (AWS, GCP, or Azure) and their data services (S3, BigQuery, Redshift)

• Understanding of ETL tools and frameworks (e.g., Airflow, dbt, or Talend)

• Basic knowledge of data‑modeling concepts and schema design

• Strong problem‑solving skills and attention to detail

Preferred Skills & Attributes

• Experience with NoSQL databases (e.g., MongoDB, Cassandra)

• Familiarity with containerization (Docker) and orchestration (Kubernetes)

• Exposure to CI/CD pipelines and infrastructure as code (Terraform, CloudFormation)

• Knowledge of data‑streaming technologies (e.g., Kafka, Pub/Sub)

• Eagerness to learn new technologies and contribute to architectural decisions

Compensation

Salary Range: USD 55,000 – 65,000 per year