Junior Data Engineer

As a Junior Data Engineer at Growth&InvestmentAgenciesLtd, 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.

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

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

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