Microsoft Power BI

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Back in the day, business intelligence meant expensive suites and armies of consultants. Then Microsoft decided everyone was a data analyst, or should be, and Power BI was born. The promise? Self-service BI for the masses, drag-and-drop dashboards, and insights at your fingertips. It’s quite clever, really, though one does wonder if empowering everyone with data visualization tools actually increases wisdom, or just the volume of questionable charts.

In practice, Power BI is a surprisingly robust platform, deeply integrated with the Microsoft ecosystem – a definite advantage. It's essentially Excel on steroids, battling Tableau for dashboard dominance, though lacking some of Tableau’s raw analytical horsepower. Today, it's everywhere – from corporate reporting to small business KPIs – and while it hasn't quite eliminated the need for dedicated BI professionals, it’s certainly kept them… busy cleaning up after everyone else.

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data engineer 2026 Intern - Enterprise Marketing AI Data Engineer @ adobe US \| 2025-12-27 \| USD 38 - 51 / hour Adobe’s Enterprise Marketing Data Engineering AI Intern slots you into the data pipeline for AEP, RTCDP and CJA, building AI-enabled marketing data products and prototypes while collaborating with... read more »	Marketing, Data Engineering, AI/ML, CDP, Analytics, GenAI, Databricks, Spark, Python, Data Modelling, Go, Data Quality, Computer Science, SQL, PySpark, ETL/ELT, Cloud Computing, Azure, AWS, GCP, DataViz, Power BI, Tableau	2026 Intern - Enterprise Marketing AI Data Engineer adobe (US) FULL TIME \| JOB LISTED Adobe’s Enterprise Marketing Data Engineering AI Intern slots you into the data pipeline for AEP, RTCDP and CJA, building AI-enabled marketing data products and prototypes while collaborating with senior engineers and data scientists. Expect Databricks, Spark, Python and SQL as the core toolkit, with PySpark, cloud platforms (Azure, AWS, GCP), and data modeling topping the stack; visualization tools like Power BI or Tableau appear as a secondary polish. It’s a 2026 May–Sept internship, co-located hybrid, open to full-time CS students graduating 2026–27. The pay is $38–$51 hourly in the U.S. market. The role is ambitious and marketable, but internship tempo is brutal and business alignment with enterprise-grade AI may outpace deliverables, despite the prestige and access to Adobe’s vast Experience Platform. Generated content Technology used Marketing Data Engineering AI/ML CDP Analytics GenAI Databricks Spark Python Data Modelling Go Data Quality Computer Science SQL PySpark ETL/ELT Cloud Computing Azure AWS GCP DataViz Power BI Tableau Listed At 2025-12-27 2025-11-13 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Data Engineer – Analytics & ETL @ talent-software-services US \| 2025-12-23 A hands-on Data Engineer – Analytics & ETL in Mountain View, tasked with onboarding data streams, building scalable ETL pipelines in Azure Data Factory and Logic Apps, migrating estates to Fabric,... read more »	Analytics, ETL/ELT, Data Streaming, Dashboard, Fabric, Azure, ADF, Data Modelling, SQL, Power BI, Data Engineering, Splunk, Python, Bash, DataViz, Grafana, Data Governance, Cloud Computing, Microsoft	Data Engineer – Analytics & ETL talent-software-services (US) FULL TIME \| JOB LISTED A hands-on Data Engineer – Analytics & ETL in Mountain View, tasked with onboarding data streams, building scalable ETL pipelines in Azure Data Factory and Logic Apps, migrating estates to Fabric, and delivering real-time dashboards via ADX/Kusto and Power BI. The role reads as a build-from-scratch mandate with governance baked in, telemetry integration, vendor onboarding, and cross-functional collaboration. It leans hard on Fabric adoption, KQL proficiency, and a suite of Azure services (ADF, Event Hubs, Vector, Splunk) to deliver end-to-end data ingestion, modeling, and visualization. The market signal is clear: cloud-native, event-driven, telemetry-heavy analytics infrastructure. Yet the description lacks salary transparency and hints at agency risk. The ideal candidate must show practical, delivery-focused experience across the full stack, not just buzzword familiarity. Remote work in the US is offered, which is a perk in a Mountain View hunt. Generated content Technology used Analytics ETL/ELT Data Streaming Dashboard Fabric Azure ADF Data Modelling SQL Power BI Data Engineering Splunk Python Bash DataViz Grafana Data Governance Cloud Computing Microsoft Listed At 2025-12-23 2024-03-27 (original listing) Permalink View original posting
promoted O'Reilly Power BI Learning 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.	Get Started
data engineer Data Engineer @ amy's-kitchen US \| 2025-12-22 \| USD 97600 - 146400 / year Amy’s Kitchen seeks an Application Engineer who doubles as a data-pipeline artisan, stitching Azure Data Factory, Synapse and Databricks with SQL, Power BI and Oracle BI into reliable,... read more »	ADF, Synapse, Databricks, SQL, Power BI, Oracle, BI, Analytics, ETL/ELT, Management, Agile/Scrum, Data Engineering, DAX, Azure DevOps, CI/CD, Azure, ERP, Data Modelling, DWH, Cloud Computing, Bash, Linux, Git	Data Engineer amy's-kitchen (US) FULL TIME \| JOB LISTED Amy’s Kitchen seeks an Application Engineer who doubles as a data-pipeline artisan, stitching Azure Data Factory, Synapse and Databricks with SQL, Power BI and Oracle BI into reliable, analytics-ready datasets. The role spans end-to-end ETL/ELT, batch and near real-time processing, and requires shaping requirements into maintainable pipelines while conforming to SDLC, CI/CD, security and governance. It’s a broad, vendor-heavy stack that rewards practical troubleshooting, robust testing and cross-functional collaboration with analysts and developers, but offers little room for pure platform innovation unless you count operational resilience as a feature. Compensation in SF Bay is competitive but not staggering for the market, and the job stands out for its ownership of the data fabric from ingestion to dashboards rather than flashy ML promises. Generated content Technology used ADF Synapse Databricks SQL Power BI Oracle BI Analytics ETL/ELT Management Agile/Scrum Data Engineering DAX Azure DevOps CI/CD Azure ERP Data Modelling DWH Cloud Computing Bash Linux Git Listed At 2025-12-22 2025-09-06 (original listing) Permalink View original posting

data engineer 2026 Intern - Enterprise Marketing AI Data Engineer @ adobe US \| 2025-12-27 \| USD 38 - 51 / hour Adobe’s Enterprise Marketing Data Engineering AI Intern slots you into the data pipeline for AEP, RTCDP and CJA, building AI-enabled marketing data products and prototypes while collaborating with... read more »	Marketing, Data Engineering, AI/ML, CDP, Analytics, GenAI, Databricks, Spark, Python, Data Modelling, Go, Data Quality, Computer Science, SQL, PySpark, ETL/ELT, Cloud Computing, Azure, AWS, GCP, DataViz, Power BI, Tableau	2026 Intern - Enterprise Marketing AI Data Engineer adobe (US) FULL TIME \| JOB LISTED Adobe’s Enterprise Marketing Data Engineering AI Intern slots you into the data pipeline for AEP, RTCDP and CJA, building AI-enabled marketing data products and prototypes while collaborating with senior engineers and data scientists. Expect Databricks, Spark, Python and SQL as the core toolkit, with PySpark, cloud platforms (Azure, AWS, GCP), and data modeling topping the stack; visualization tools like Power BI or Tableau appear as a secondary polish. It’s a 2026 May–Sept internship, co-located hybrid, open to full-time CS students graduating 2026–27. The pay is $38–$51 hourly in the U.S. market. The role is ambitious and marketable, but internship tempo is brutal and business alignment with enterprise-grade AI may outpace deliverables, despite the prestige and access to Adobe’s vast Experience Platform. Generated content Technology used Marketing Data Engineering AI/ML CDP Analytics GenAI Databricks Spark Python Data Modelling Go Data Quality Computer Science SQL PySpark ETL/ELT Cloud Computing Azure AWS GCP DataViz Power BI Tableau Listed At 2025-12-27 2025-11-13 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Data Engineer – Analytics & ETL @ talent-software-services US \| 2025-12-23 A hands-on Data Engineer – Analytics & ETL in Mountain View, tasked with onboarding data streams, building scalable ETL pipelines in Azure Data Factory and Logic Apps, migrating estates to Fabric,... read more »	Analytics, ETL/ELT, Data Streaming, Dashboard, Fabric, Azure, ADF, Data Modelling, SQL, Power BI, Data Engineering, Splunk, Python, Bash, DataViz, Grafana, Data Governance, Cloud Computing, Microsoft	Data Engineer – Analytics & ETL talent-software-services (US) FULL TIME \| JOB LISTED A hands-on Data Engineer – Analytics & ETL in Mountain View, tasked with onboarding data streams, building scalable ETL pipelines in Azure Data Factory and Logic Apps, migrating estates to Fabric, and delivering real-time dashboards via ADX/Kusto and Power BI. The role reads as a build-from-scratch mandate with governance baked in, telemetry integration, vendor onboarding, and cross-functional collaboration. It leans hard on Fabric adoption, KQL proficiency, and a suite of Azure services (ADF, Event Hubs, Vector, Splunk) to deliver end-to-end data ingestion, modeling, and visualization. The market signal is clear: cloud-native, event-driven, telemetry-heavy analytics infrastructure. Yet the description lacks salary transparency and hints at agency risk. The ideal candidate must show practical, delivery-focused experience across the full stack, not just buzzword familiarity. Remote work in the US is offered, which is a perk in a Mountain View hunt. Generated content Technology used Analytics ETL/ELT Data Streaming Dashboard Fabric Azure ADF Data Modelling SQL Power BI Data Engineering Splunk Python Bash DataViz Grafana Data Governance Cloud Computing Microsoft Listed At 2025-12-23 2024-03-27 (original listing) Permalink View original posting
promoted O'Reilly Power BI Learning 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.	Get Started
data engineer Data Engineer @ amy's-kitchen US \| 2025-12-22 \| USD 97600 - 146400 / year Amy’s Kitchen seeks an Application Engineer who doubles as a data-pipeline artisan, stitching Azure Data Factory, Synapse and Databricks with SQL, Power BI and Oracle BI into reliable,... read more »	ADF, Synapse, Databricks, SQL, Power BI, Oracle, BI, Analytics, ETL/ELT, Management, Agile/Scrum, Data Engineering, DAX, Azure DevOps, CI/CD, Azure, ERP, Data Modelling, DWH, Cloud Computing, Bash, Linux, Git	Data Engineer amy's-kitchen (US) FULL TIME \| JOB LISTED Amy’s Kitchen seeks an Application Engineer who doubles as a data-pipeline artisan, stitching Azure Data Factory, Synapse and Databricks with SQL, Power BI and Oracle BI into reliable, analytics-ready datasets. The role spans end-to-end ETL/ELT, batch and near real-time processing, and requires shaping requirements into maintainable pipelines while conforming to SDLC, CI/CD, security and governance. It’s a broad, vendor-heavy stack that rewards practical troubleshooting, robust testing and cross-functional collaboration with analysts and developers, but offers little room for pure platform innovation unless you count operational resilience as a feature. Compensation in SF Bay is competitive but not staggering for the market, and the job stands out for its ownership of the data fabric from ingestion to dashboards rather than flashy ML promises. Generated content Technology used ADF Synapse Databricks SQL Power BI Oracle BI Analytics ETL/ELT Management Agile/Scrum Data Engineering DAX Azure DevOps CI/CD Azure ERP Data Modelling DWH Cloud Computing Bash Linux Git Listed At 2025-12-22 2025-09-06 (original listing) Permalink View original posting

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2026 Intern - Enterprise Marketing AI Data Engineer @ adobe

Data Engineer – Analytics & ETL @ talent-software-services

O'Reilly Power BI Learning

Data Engineer @ amy's-kitchen