Senior Data Engineer - Energy Grid & Time-Series (Remote EU)

gridX

Germany (OH)

On-site

USD 102,645 - 148,266

Full time

14 days+

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Benefits offered by this job

Remote work up to 70 days in EU

30 vacation days + special leave

Relocation support to Germany

Modern workplaces in Aachen and Munich

Company pension contributions

Job summary

gridX is hiring for a data engineering/MLops role focused on decoupled energy resources across Europe. You will build and optimize data products that connect millions of assets, and design scalable workflows for clustering and forecasting on time-series data.

The role emphasizes reliability, production-grade delivery, and hands-on experience with Go, SQL, and modern orchestration tools. Relocation support and EU remote work options are available.

Qualifications

Hands-on experience delivering data solutions into production.
Ownership of stable and reliable data workflows.
Experience with large-scale time-series data and related processing challenges.

Responsibilities

Build and optimize data products that connect and orchestrate millions of decentralized energy resources.
Design and implement scalable clustering and forecasting workflows.
Deliver precise evaluations for energy trading and decision-making.
Solve scalability challenges to keep assets working in concert.
Collaborate to accelerate the transition to renewable energy systems.

Skills

Production-Grade Track Record

Stabilization & Reliability

Time-Series Analytics

Tools

SQL

ClickHouse

AWS

Kubernetes

Terraform

Metaflow

Argo

MLflow

Grafana

Job description

The role emphasizes reliability, production-grade delivery, and hands-on experience with Go, SQL, and modern orchestration tools. Relocation support and EU remote work options are available.

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