Data Engineer

About the Role

Zof AI is actively recruiting a Data Engineer based in Accra, Ghana. This full-time on-site role is designed for professionals eager to impact the creation of ambitious AI products within a dynamic and high-performance environment. The primary responsibility involves constructing robust data pipelines that convert raw agent activities, test outcomes, and remediation results into reliable datasets. This position oversees the entire data framework supporting the control plane, encompassing streaming and batch ingestion, warehouse modeling for evaluations and analytics, and implementing rigorous quality assurance and data lineage to ensure dataset reliability.

Key Responsibilities

• Design and implement ingestion pipelines handling agent runs, defect reproductions, and remediation results.
• Create and manage warehouse tables that underpin evaluations, analytics, and product reporting.
• Develop both streaming and batch processes to maintain up-to-date data without compromising accuracy.
• Manage pipeline orchestration comprehensively, including scheduling, dependency management, retry mechanisms, and data backfills.
• Integrate data quality controls, automated testing, and alert systems into every deployed pipeline.
• Maintain thorough data lineage tracking to ensure every reported metric can be traced to its original data source.
• Collaborate closely with AI and product engineers to transform raw signals into usable datasets.
• Take responsibility for the cost efficiency, operational performance, and reliability of data platforms in the production environment.

Required Qualifications and Skills

• Demonstrated experience in developing and maintaining production-grade data pipelines.
• Advanced proficiency in SQL and expertise in data modeling within warehouse environments.
• Strong programming skills in Python or equivalent scripting languages used for data processing.
• Familiarity with orchestration tools such as Apache Airflow, Dagster, or Prefect.
• Understanding of concepts around data quality assurance, testing practices, and schema management/evolution.
• Ability to evaluate trade-offs related to data freshness, cost-efficiency, and data accuracy.
• Effective communication skills, both verbal and written.
• A strong sense of ownership and responsibility for systems built.

Preferred Qualifications

• Experience working with streaming technologies such as Kafka, Kinesis, or Google Pub/Sub.
• Knowledge of modern data tooling like dbt, Snowflake, BigQuery, or Databricks.
• Skills in preparing datasets for machine learning evaluations, fine-tuning, or model training.
• Previous involvement in establishing data platforms in early-stage startups.

Benefits and Perks

• Monthly salary ranging from GHS 7,000 to GHS 14,000, plus meaningful equity participation.
• Comprehensive living package that covers housing support or housing provisions as applicable.
• On-site meals prepared by private chefs where applicable.
• Laundry and cleaning services.
• High-end tech equipment including MacBook Pro and advanced AI development tools like Cursor Ultra, Claude Code Ultra, and OpenAI Codex Max or equivalent.
• A focused work environment with recreational facilities such as a basketball court, table tennis, and foosball.
• Wellness provisions including massage and fitness support.

Additional Information

Benefits noted as "where applicable" may vary depending on the specific role, location, and terms of the employment offer.