Data Engineer - Real-Time EMS Data Backbone

MegaCharge; Machelen; On-site; EUR 60,000 - 90,000; Full time

Job summary

MegaCharge is building an Energy Management System to connect batteries, chargers, solar, and grid. Data Engineers design and run data pipelines, data models, and storage to feed optimization, dashboards and ML models.

You will partner with Software Engineering and R&D to ensure data quality, traceability, and scalable data infrastructure that supports real-time and historical analysis. You will contribute to architecture decisions, maintain data contracts, and implement monitoring and

Qualifications

• Experience designing and building data pipelines (batch/streaming).
• Ability to model and serve high-volume time series data.
• Strong data modeling and schema/versioning discipline.
• Experience documenting architectures and data contracts.

Responsibilities

• Design, build and maintain batch and streaming data pipelines ingesting charger, battery, solar, grid, and market data.
• Model, store and serve high-volume time series data for real-time and historical use.
• Maintain clean, versioned schemas and data contracts for EMS backend and dashboards.
• Implement data quality checks, validation, retries, and alerting for reliability.
• Monitor pipeline health, latency, and costs; provide data layer for Grafana dashboards.
• Ensure lineage, logging, and auditability of data flows with security considerations.
• Collaborate with hardware, operations, R&D to evolve data architecture.
• Coordinate cloud data stack with the cloud team for performance and cost efficiency.
• Prepare datasets and feature pipelines for optimization, forecasting, and ML models.

Skills

Data pipelines

Time series data

Data modeling

Documentation

Software engineering

Tools

Grafana

GitLab CI/CD

Job description

MegaCharge is building an Energy Management System to connect batteries, chargers, solar, and grid. Data Engineers design and run data pipelines, data models, and storage to feed optimization, dashboards and ML models.

You will partner with Software Engineering and R&D to ensure data quality, traceability, and scalable data infrastructure that supports real-time and historical analysis. You will contribute to architecture decisions, maintain data contracts, and implement monitoring and