ENVIRONMENT:

A fast-growing FinTech company is looking to fill the role of a Data Engineer/Solutions Engineer with strong expertise in Google Cloud Platform (GCP) to join its team. You will design, build, and maintain scalable data pipelines and architectures that power the business. You’ll collaborate closely with Data Scientists and Analysts to ensure seamless data flow across the organisation, enabling smarter decisions and impactful solutions. You will require a Masters/Bachelor’s Degree in Computer Science/Data Science or similar field with 5+ years’ work experience in a similar role including skills in BigQuery, Python, SQL, GCP & ETL. The ideal candidate will be analytically sharp, self-motivated, and thrives in an unstructured environment. A genuine passion for African business is a must—along with a healthy sense of adventure and a good sense of humour to match a dynamic culture.

DUTIES:

· Design and build scalable data pipelines and architecture using GCP technologies such as Dataflow, BigQuery, Pub/Sub, and Cloud Storage.

· Develop and manage ETL processes to transform diverse data sources into clean, structured formats for analysis and reporting.

· Partner with Data Scientists and Analysts to understand their needs and deliver solutions that enable insights and decision-making.

· Create and maintain documentation for data pipelines, architecture, and data models to ensure clarity and consistency.

· Troubleshoot and resolve data-related issues quickly to minimise disruption.

· Continuously optimise data pipelines for performance, scalability, and cost efficiency.

· Automate workflows and processes through scripts and tools that streamline operations.

· Safeguard data quality and integrity across all sources, pipelines, and platforms.

· Stay ahead of the curve by keeping up with new GCP tools, best practices, and Data Engineering trends.

REQUIREMENTS:

Qualifications –

· Masters or Bachelor’s Degree in Computer Science, Data Science, or a related field.

Experience/Skills –

· 5+ Years’ experience as a Data Engineer or in a similar role.

· Strong programming skills in BigQuery, Python, SQL, and GCP.

· Proven expertise in ETL development and data modeling.

· Familiarity with data lakehouse concepts and techniques.

· Experience with Google Cloud Platform (GCP) technologies—especially BigQuery, with additional exposure to Dataflow, Pub/Sub, and Cloud Storage—considered highly beneficial.