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Data Engineer at PowerLabs Inc

PowerLabs IncLagos, Nigeria Data and Artificial Intelligence
Full Time
PowerLabs is an energy and climate tech research and deployment company on a mission to create a planet with limitless human productivity through intelligent energy. With an aging grid, rising power intermittency and energy costs, individuals, businesses and communities need energy intelligence at their fingertips.

Role Overview

  • As a Data Engineer, you will design, implement, and maintain data ingestion, storage, optimisation, processing (pre/post), and analytics pipelines for time-series IoT and energy data. 
  • You will work closely with data scientists/analysts, software engineers, and optimisation experts to ensure seamless real-time and batch data workflow integration.

Required Skills & Qualifications

  • 3+ years of experience in data engineering with a focus on IoT, energy, or industrial data.
  • Proficiency in Python and SQL; experience with Scala is a plus.
  • Experience building scalable ETL/ELT pipelines using Apache Airflow, NiFi, Prefect etc.
  • Strong knowledge of distributed data processing frameworks (Dask, Spark, Flink, or Kafka Streams).
  • Hands-on experience with both relational and NoSQL databases, including PostgreSQL, MySQL, Cassandra, DynamoDB, or MongoDB.
  • Hands-on experience with time-series databases (TimescaleDB, InfluxDB, ClickHouse, or DuckDB).
  • Familiarity with data lake architectures and formats (Apache Iceberg, Delta Lake, Parquet).
  • Experience with cloud data services (AWS: S3, Glue, Lambda, Athena; GCP: BigQuery, Dataflow).
  • Ability to optimise SQL queries and database performance.
  • Experience in MLOps and data pipelines for ML workflows.
  • Knowledge of energy systems, SCADA protocols, or grid optimisation is a plus.
  • Strong problem-solving skills and ability to work in cross-functional teams.

Important

  • This role is strictly not for vibe-coders.
  • Do not apply if you rely more on guesswork than on clear data, prefer quick fixes over solid design, or value style over reliability.
  • We need engineers who work carefully, follow strong processes, and deliver real, measurable results; anything less will not meet our standards.

Method of Application

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