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The enterprise workhorse that refuses to quit. For data engineering, Java is a powerhouse for building robust, scalable systems like custom ETL pipelines, distributed frameworks (hello, Hadoop), and real-time processing engines like Kafka Streams. Its JVM ecosystem and libraries (e.g., Apache Spark, Flink) make it a cornerstone for high-performance data applications where reliability matters.
That said, Java’s verbosity can feel like writing a novel for every task, and its boilerplate-heavy style makes simple things unnecessarily painful. While its performance is solid and memory management reliable, it lacks the modern elegance of languages like Go or Python. Plus, debugging messy stack traces from poorly tuned JVMs is no picnic.
Java thrives in large-scale, structured environments where maintainability and backward compatibility are king. It’s not the coolest language at the party, but when your data stack needs to scale like a Fortune 500 company, Java delivers—with plenty of paperwork.
Used together with Java
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Jobs in using Java for but please no
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data scientist
Fullstack Software Engineer - Core @ dataiku
FR | 2025-12-27
Dataiku is recruiting a Fullstack Engineer to influence Dataiku DSS across data prep, visualization, ML ops, and AI governance. You’ll juggle back-end Java and Python with front-end work in...
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Dataiku, AI/ML, Analytics, Cloud Computing, SaaS, Data Science, LLM, GitHub, SQL, API, Java, Python, DataViz, React, GenAI, TensorFlow, PyTorch, JavaScript, Kubernetes, Spark, AWS, Azure, PostgreSQL | ||
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data scientist
AI & Data Sr. Solutions Engineer (Emerging Enterprise, Startups & Digital Natives) @ databricks
FR | 2025-12-26
Databricks in Paris wants a field engineer who can turn a customer’s AI and data aspirations into deployed reality using the Databricks Data Intelligence Platform. You’ll be a trusted tech...
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Databricks, AI/ML, Data Science, Analytics, Data Analytics, Big Data, Cloud Computing, AWS, Microsoft, GCP, Python, Java, Scala, Spark, Data Lakehouse, Delta | ||
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promoted
Masthead DataMasthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data. |
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data scientist
Consultant ML/AI Engineer - F/H @ onepoint
FR | 2025-12-24
The role involves transforming prototypes into scalable production solutions using MLOps pipelines with tools like MLflow and Kubernetes, focusing on robust, performant AI models. A key...
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AI/ML, Data Management, Data Analytics, Data Science, MLOps, Docker, Kubernetes, Databricks, Spark, Delta, PySpark, SQL, Scala, Java, Data Streaming, Data Engineering, Data Lakehouse, CI/CD, Git, Python, TensorFlow, PyTorch, Cloud Computing, Azure, AWS, GCP, Management | ||
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data scientist
STAGE - Ingénieur Consultant Avant-Vente (F/H) @ dassaultsystemes
FR | 2025-12-23
Dassault Systèmes seeks a 6-month intern to support pre-sales for an automotive client, focusing on opportunity tracking, demonstrating 3DEXPERIENCE solutions, and deploying AI technologies. A key...
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Management, Analytics, AI/ML, SaaS, Python, Java | ||
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data scientist
Software Engineer Intern- France, Paris @ dataiku
FR | 2025-12-22
The role at Dataiku emphasizes practical, real-world engagement with AI and data technologies, focusing on tools like Python/Java for backend and frontend development. The job requires fluency in...
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Dataiku, AI/ML, Analytics, Cloud Computing, SaaS, Data Science, LLM, GitHub, MLOps, DataViz, Python, Java, React, Management, Kubernetes |