Engineering

Data Engineer

Lagos · Nigeria · Hybrid / remote · Full-time

Experience requirements for this role are set in the required qualifications below—some roles ask for more than three years (for example sales leadership). Compensation and benefits are discussed with shortlisted candidates only—we do not publish salary ranges on public postings.

Build governed data pipelines and warehouse patterns that analytics and ML teams can trust— with observability, lineage, and cost discipline.

What you will do

• Design batch and streaming pipelines with schema evolution and backfill strategies
• Implement data quality checks, SLAs, and alerting on freshness and completeness
• Partner with analysts and scientists on contracts, grain, and metric definitions
• Optimize query performance and warehouse costs (partitioning, clustering, materializations)
• Support privacy requirements: masking, tokenization, regional residency where applicable
• Document lineage and support audit requests with reproducible artifacts
• Collaborate on self-service patterns (dbt, metrics layers) where appropriate

Required qualifications

• Minimum 3 years of professional experience in data engineering or equivalent (ETL/ELT-heavy roles)
• Strong SQL and one major warehouse (Snowflake, BigQuery, Redshift, Databricks, etc.)
• Experience with orchestration (Airflow, Dagster, Prefect, or cloud-native schedulers)
• Proficiency in Python or Scala for transforms and tooling
• Understanding of IAM, encryption, and least-privilege access to data stores

Preferred qualifications

• dbt or similar transformation tooling in production
• Kafka/Pub/Sub or equivalent event streaming experience
• FinOps or unit economics mindset for data platforms