Data consulting and ML engineering for Dutch enterprises
Digital Power is a 51–200-person data consultancy in Amsterdam focused on analytics, data science, and ML engineering. The tech stack reveals a modern data platform (Databricks, Snowflake, dbt, Airflow) paired with production ML infrastructure (TensorFlow, PyTorch, Kubernetes, Docker), indicating active delivery of ML models at scale rather than advisory-only work. Hiring is concentrated in data roles with a mid-to-lead seniority mix, and current projects center on ML productionization and integration with data pipelines—suggesting the firm is moving beyond analytics consulting into embedded ML execution.
Digital Power enables Dutch organizations—from small firms to multinationals—to operationalize data and machine learning. The firm offers three main service lines: data analytics and web analytics implementation (Google Tag Manager, Tealium, Adobe Launch), data science and ML model development (using scikit-learn, TensorFlow, PyTorch), and data engineering (Databricks, Snowflake, dbt, Airflow). They deliver via both project-based engagements (tagging, integrations, customer experience reviews) and interim staffing of data professionals. The company also runs training and knowledge-sharing sessions for client teams seeking to build internal data capability.
Databricks, Snowflake, AWS, Azure, GCP, Python, TensorFlow, PyTorch, dbt, Apache Airflow, Kubernetes, Docker, and Google Analytics / Tealium / Adobe Launch for tagging and web analytics.
Amsterdam, Noord-Holland, Netherlands. Founded in 2016, 51–200 employees.
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