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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