Data Engineer

Location: Accra
Employment Type: Full-Time
Company: AmaliTech

Company Profile

AmaliTech is a socially driven technology company committed to building digital talent and delivering high-quality IT services to global clients. We operate in an agile, international environment where innovation, collaboration, and technical excellence drive impact. We are seeking a skilled and motivated Data Engineer to join our growing data team and support scalable, high-performance data solutions.

Position Summary

The Data Engineer will design, build, and maintain scalable data pipelines and data infrastructure that enable reliable analytics and business intelligence. The successful candidate will collaborate with cross-functional teams to ensure data availability, quality, security, and performance across the organization’s data ecosystem.

Key Responsibilities

The successful candidate will:

• Develop, construct, and maintain scalable data pipelines and ETL processes.
• Design and assemble large, complex datasets that meet both functional and non-functional business requirements.
• Collaborate with data architects, data scientists, and analysts to define data requirements and optimize data workflows.
• Monitor, troubleshoot, and maintain data systems using tools such as Grafana and AWS CloudWatch to ensure reliability, quality, and availability.
• Implement and enforce data governance, security, and compliance measures to protect sensitive data.
• Design, develop, and optimize data storage solutions, including data warehouses and data lakes.
• Automate data workflows and improve pipeline efficiency for scalability and performance.
• Continuously monitor data infrastructure performance and proactively resolve issues.
• Document data pipelines, architectures, processes, and best practices for knowledge sharing.
• Optimize database performance for efficient data storage, retrieval, and processing.
• Stay up to date with emerging trends, tools, and technologies in data engineering.

Qualification Required & Experience

Applicants must possess:

• A minimum of 3 years of experience as a Data Engineer or in a similar role.
• Strong proficiency in ETL tools, data integration platforms, and data engineering frameworks.
• Strong SQL skills with experience in relational and NoSQL databases.
• Hands-on experience with big data technologies such as Apache Spark, Kafka, or Hadoop.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Proficiency in programming languages, especially Python (preferred), Java, or Scala.
• Strong analytical and problem-solving skills with the ability to ensure data accuracy and reliability.
• Experience working with data quality management and optimization practices.

Preferred Qualifications

• Experience with workflow orchestration tools such as Apache Airflow or Luigi.
• Familiarity with data warehousing platforms such as Amazon Redshift or Snowflake.
• Experience working in Agile development environments.

Perks and Benefits

• Competitive salary commensurate with qualification and experience.
• Pension benefits.
• Performance-based bonuses and end-of-year package.
• Comprehensive medical insurance, including coverage for dependents.
• Internet data support for remote work.
• Employee engagement activities, including bi-monthly social events and sports activities.

Application Deadline

05 June 2026

How to Apply

Apply online by clicking on the application button.