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Spark on steroids, with a side of notebooks. Touted as the go-to platform for unified analytics, Databricks brings managed Spark clusters, collaborative notebooks, and seamless integration with cloud storage under one (expensive) roof. If you’re wrangling massive datasets or running complex ML workflows, it’s a powerful choice—especially for distributed computing without sweating over cluster management.
But let’s not ignore the elephant in the room: Databricks is a jack-of-all-trades but master of none. Its notebooks are decent, though hardly revolutionary. Its SQL features lag behind dedicated warehouses like Snowflake, and costs can escalate quickly if you’re careless with cluster sizing or fail to shut things down.
Ideal for hybrid teams juggling data engineering and data science, but for pure analytics or lightweight ETL? Consider simpler, cheaper alternatives. A brilliant tool if your problems fit its paradigm—just don’t expect it to be your one-size-fits-all solution.

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data scientist

Named Account Executive (Digital Natives) @ databricks

FR | 2025-12-28
This role is a misrepresentation of the actual responsibilities and expectations of an enterprise sales executive. The job description is overly promotional, lacks concrete details about the... read more »
AI/ML, Databricks, Management, Cloud Computing, SaaS, AWS, Azure, GCP, C, Analytics, Data Lakehouse, Spark, Delta
data scientist

Sr. Legal Counsel, International Public Sector @ databricks

FR | 2025-12-28
This role is a misnomer for a legal counsel specializing in public sector transactions, with a vague reference to Databricks’ data and AI initiatives. The job description is vague, lacks specific... read more »
Databricks, Management, Cloud Computing, AI/ML, Analytics, Data Lakehouse, Spark, Delta
promoted

The Fundamentals of Analytics Engineering

The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.

data scientist

Architecte IA – Expert Azure AI Foundry & Microsoft Copilot Studio @ viseo

FR | 2025-12-28
This role is a misrepresentation of what data engineering entails. The job description claims to be about architecting AI solutions using Azure AI Foundry and Copilot Studio, but it lacks concrete... read more »
AI/ML, Azure, Microsoft, Data Science, Analytics, LLM, Data Lake, Databricks, Synapse, Python, C, NLP, Agile/Scrum, CRM, ERP, API, MLOps, Management, Cloud Computing, GDPR/CCPA
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... read more »
Databricks, AI/ML, Data Science, Analytics, Data Analytics, Big Data, Cloud Computing, AWS, Microsoft, GCP, Python, Java, Scala, Spark, Data Lakehouse, Delta
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... read more »
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
data scientist

Emerging Digital Native Hunter Account Executive @ databricks

FR | 2025-12-24
Databricks is hiring an Account Executive to chase mid-market French accounts, selling the Databricks Data Intelligence Platform and wrapping cloud data hype in MEDDPIC- and Challenger... read more »
Databricks, Big Data, Analytics, Cloud Computing, SaaS, AI/ML, Data Lakehouse, Spark, Delta