Eneco operates renewable energy infrastructure across the Netherlands with 1,000–5,000 employees and a tech stack that reveals a dual-track organization: a traditional enterprise backbone (SAP, Oracle Primavera, Microsoft 365) supporting planning and compliance, layered with modern data and automation tools (Kafka, Databricks, Snowflake, dbt, Apache Airflow) for real-time asset optimization and trading. Engineering dominance (36 roles) paired with growing data (16) and ops (21) hiring signals a push to automate energy scheduling, manage IoT-scale infrastructure (1GW+ assets), and reduce imbalance costs—moving from static planning into dynamic, data-driven operations.
Notable leadership hires: Rotating Project Lead
Eneco is a public utility operator in the Netherlands focused on renewable energy distribution and asset optimization. The company manages distributed energy infrastructure (stadsverwarmingsnetten, battery optimization, trading portfolios) and serves both wholesale and retail energy markets. Scale challenges include commodity trading risk, IoT device management across large installed bases, and compliance (CSRD, credit risk). The organizational structure balances regulated utility operations (finance, compliance-heavy) with emerging technical disciplines (data science, platform engineering) required to optimize renewable assets in real time and reduce grid imbalance costs.
Python, Azure (DevOps, Kubernetes, Event Hubs, Cosmos DB), SAP, Oracle Primavera, Kafka, Databricks, Snowflake, dbt, Apache Airflow, PostgreSQL, Grafana, Power BI, and ArcGIS. Stack spans enterprise ERP, data pipelines, and real-time event streaming.
Energy optimization models, anomaly detection, short-term trading asset scheduling, IoT platform scaling (1GW+), data lineage/governance, battery and renewable asset optimization, and trade automation workflow improvements.
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