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Datwave Tech Stack

Google Cloud data and AI solutions for enterprise transformation

Technology, Information and Internet Milan, Lombardy 51–200 employees Privately Held

Datwave is a Google Cloud native services firm building data pipelines, MLOps platforms, and AI observability systems for mid-market enterprises. The stack—GCP, Vertex AI, Dataflow, Databricks, Spark—reflects deep specialization in cloud-native data infrastructure. Active hiring skews toward senior data and engineering roles in Italy, aligned with a project mix centered on ML operationalization and real-time pipeline work.

Tech Stack 21 technologies

Core StackVertex AI Java Ruby Python Scala Hadoop Apache Spark PySpark Databricks AWS GCP Dataflow Composer Data Fusion SQL R MLOps Git MapReduce Azure IBM Cloud

What Datwave Is Building

◆Challenges

Adopting ai solutions
Industrializing ml solutions
Ensuring performance security governance
Scaling ml model execution
Optimizing gcp services for clients

▲Active Projects

Ai solution factory
Mlops platform implementation
Ai observability features
Ml solution industrialization
Observability implementation
Batch and real-time data pipelines
Ml model deployment and scheduling
Data platform optimization
Real-time data pipeline for ml models
Ml model deployment pipeline

Hiring Activity

Accelerating7 roles · 5 in 30d

Department

Data

3

Engineering

3

Seniority

Senior

4

Mid

2

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About Datwave

Datwave designs and deploys AI, cloud, and data solutions for organizations navigating digital transformation. Based in Milan with 51–200 employees, the firm works primarily with Google Cloud Platform, building batch and real-time data pipelines, MLOps platforms, and AI observability layers. The team includes data scientists, ML engineers, and cloud architects. Current execution focuses on ML model deployment, pipeline orchestration, and helping clients scale model execution while maintaining governance and security.

HeadquartersMilan, Lombardy

Company Size51–200 employees

Hiring MarketsItaly

Frequently Asked Questions

What tech stack does Datwave use?

GCP, Vertex AI, Dataflow, Composer, Data Fusion, Databricks, Apache Spark, Python, Java, and SQL. The firm also integrates AWS and Azure for hybrid cloud scenarios.

What is Datwave working on?

MLOps platforms, real-time and batch data pipelines, ML model deployment automation, AI observability features, and data platform optimization for Google Cloud customers.

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