Data Engineer

About the role

Zof AI is looking for a Data Engineer to design, build and maintain the data pipelines that power its AI products. You will work on both streaming and batch ingestion, ensuring data is reliable, fresh and ready for evaluation and analytics.

Key responsibilities

• Design and implement ingestion pipelines for agent runs, defect reproductions and remediation outcomes.
• Model and maintain warehouse tables that support evaluations, analytics and product reporting.
• Develop and manage streaming and batch data flows, balancing freshness with correctness.
• Own end-to-end pipeline orchestration, including scheduling, dependencies, retries and backfills.
• Integrate data quality checks, tests and alerts into every pipeline.
• Track data lineage so every reported metric can be traced to its source.
• Collaborate with AI and product engineers to turn raw signals into usable datasets.
• Monitor and optimise cost, performance and reliability of the production data platform.

Required profile

• Proven experience building and operating production data pipelines.
• Strong SQL skills and ability to model data in a warehouse.
• Proficiency in Python or a comparable language for data engineering.
• Experience with an orchestration tool such as Airflow, Dagster or Prefect.
• Understanding of data quality, testing and schema evolution.
• Clear written and verbal communication and high ownership of built systems.

Required skills

• SQL
• Python
• Airflow
• Dagster
• Prefect
• Kafka
• Kinesis
• Pub/Sub
• dbt
• Snowflake
• BigQuery
• Databricks

What we offer

• Salary between GHS 7,000 and GHS 14,000 per month.
• Meaningful equity participation.
• Full living package covering housing, meals, equipment and wellness where applicable.