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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
Software Engineer - New Grad (2026 Start) @ databricks
DE | 2025-12-27
The role is a high-impact, collaborative position at Databricks, focusing on infrastructure and product development. It requires strong programming skills, project management, and a passion for...
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Databricks, AI/ML, Cloud Computing, Computer Science, Python, Java, Analytics, Data Lakehouse, Spark, Delta | ||
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data scientist
Manager AI & Data Analytics / Data Science (m/w/d) in Berlin @ deloitte
DE | 2025-12-25
Deloitte seeks a Manager in AI & Data Analytics within Digital Risk Advisory, promising end-to-end impact from strategy to scalable AI for Fortune 500 clients. You’ll lead teams from data...
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AI/ML, Data Analytics, Data Management, Data Engineering, Data Science, Analytics, Cloud Computing, AWS, GCP, Azure, Python, TensorFlow, Keras, PyTorch, R, Java, C++, SQL, Spark, Hadoop, Qlik, Tableau | ||
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promoted
BigQuery Cost Optimization Guide by Masthead DataThe BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of... |
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data scientist
Consultant Intelligent Automation - Dein Einstieg in AI & Data (m/w/d) @ deloitte
DE | 2025-12-24
Deloitte's Consultant Intelligent Automation role in Consulting – AI and Data promises client‑facing work on AI & Data strategy, large data platforms, and visual analytics, across multiple German...
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AI/ML, Analytics, Java, JavaScript, Python, Cloud Computing | ||
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data scientist
(Senior) AI Engineer (m/f/d) @ simon-kucher
DE | 2025-12-22
Simon-Kucher’s Berlin AI Engineer role sits at the crossroads of pricing science and pragmatic product engineering. You’ll design LLM-driven workflows, retrieval-augmented generation,...
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AI/ML, Marketing, MLOps, SaaS, Agile/Scrum, LLM, RAG, API, Management, Computer Science, Java, Python, Neo4j, NLP, Analytics, CI/CD | ||
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data scientist
Cloud Support Engineer (German & English speaking) @ amazon-web-services
DE | 2025-12-21
AWS is launching the European Sovereign Cloud and wants a Cloud Support Engineer to sit at the coalface. The job mixes bilingual German/English communication, on-call duty, and EU relocation with...
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AWS, Cloud Computing, GenAI, Data Science, Computer Science, Linux, Big Data, Analytics, Python, Java, C#/.NET, C, JavaScript, DevOps |
