Azure Synapse Analytics

data warehouse, analytics, big data
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Back in the day, data warehousing meant monolithic beasts and ETL pipelines that resembled spaghetti junction. Then came the cloud, and suddenly everyone needed a “limitless” analytics service. Azure Synapse Analytics arrived as Microsoft’s attempt to unify data integration, data warehousing, and big data analytics – a noble goal, if a little ambitious. It’s essentially the lovechild of Azure SQL Data Warehouse and Azure Data Lake Analytics, promising a single platform for all your data needs.

The reality? It’s powerful, certainly, but requires a significant investment in learning and configuration. While it can handle everything, mastering the various compute engines—Spark, SQL pools, data flows—feels like becoming fluent in several programming languages simultaneously. Competitors like Snowflake offer a simpler, more managed experience, though at a cost. Synapse is gaining traction with enterprises already heavily invested in the Microsoft ecosystem, but convincing anyone else to jump ship requires demonstrating tangible benefits beyond just checking all the boxes.

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Jobs in using Azure Synapse Analytics for but please no

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

T&T Director - Artificial Intelligence & Data (Business Solutions, Financial Services) - SG @ deloitte

SG | 2025-12-27
Director/Senior Manager in Deloitte's AI & Data practice in Singapore, this role leads large-scale AI/Gen AI transformations for Banking and Insurance within FS. It mixes strategic advisory,... read more »
AI/ML, Management, GenAI, Data Science, MLOps, Cloud Computing, AWS, Azure, GCP, C, Analytics, Synapse, Amazon SageMaker, Databricks, Snowflake
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Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.

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data scientist

Manager - Data & AI @ ernstandyoung

ES | 2025-12-26
EY’s Data & AI Manager role asks you to lead end-to-end data transformations for top clients, shape cloud architectures on Azure and Databricks, and turn strategy into measurable value through... read more »
AI/ML, Cloud Computing, Azure, Databricks, Data Science, Power BI, Agile/Scrum, Synapse, Fabric, Kafka, MLOps, Microsoft
data scientist

Data Platform Engineer @ webuild-ai

GB | 2025-12-26
WeBuild-AI seeks a Platform Engineer to craft scalable data solutions supporting AI transformations for global enterprises, with an emphasis on data architecture and cloud services. The role’s... read more »
AI/ML, AWS, Azure, Fabric, Data Governance, Data Quality, Redshift, AWS Glue, LLM, Synapse, Python, Cloud Computing, Data Modelling, Docker, Kubernetes, Vector DB, Pinecone, Neo4j, API, Data Streaming, Kinesis, Kafka, GitHub
data scientist

Data Architect @ prodware

ES | 2025-12-22
This role is a data architect seeking to design scalable and secure data architectures on Azure, leading data ingestion, transformation, and modeling in batch, real-time, and streaming... read more »
Microsoft, Azure, AI/ML, BI, Data Streaming, IoT, Big Data, Databricks, Synapse, Power BI, Fabric, Data Lake, SQL, Cosmos, Agile/Scrum, DevOps, MLOps