Microsoft Power BI

bi, data visualization, microsoft
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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

Junior Data Engineer - Analytics Engineer @ entain

GB | 2025-12-27
An analytics engineer at Angstrom will design and optimize data models and workflows to produce reliable insights, acting as a bridge between data engineering and analytics. A notable... read more »
Analytics, Data Engineering, ETL/ELT, SQL, Data Quality, Cloud Computing, AWS, S3, Athena, CloudFormation, CloudWatch, Python, Data Modelling, dimensional modeling, RDBMS, BI, Power BI, Plotly, React, JavaScript, API, Spark, Kafka
data engineer

Junior Data Engineer @ burson

GB | 2025-12-26
A Junior Data Engineer role at Burson involves supporting data pipelines and AI models in a hybrid London setting. The position emphasizes Python scripting, Azure cloud infrastructure, and... read more »
AI/ML, DevOps, Python, Azure, Computer Science, BI, Agile/Scrum, Git, API, Power BI, Azure DevOps, Java, R, DAX, NoSQL, SQL, MongoDB, Parquet
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O'Reilly: Building AI Agents with Model Context Protocol (MCP)

Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.

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data engineer

Data Engineering Consultant @ uk-talan

GB | 2025-12-25
An enterprise data engineering consultant role at Talan Data x AI promises multi-cloud breadth (AWS, Azure, GCP) and a Databricks Lakehouse core, with DBT, Terraform, and CI/CD baked in. The stack... read more »
AI/ML, Data Management, Analytics, PySpark, Spark, AWS, Azure, Cloud Computing, GCP, Data Lake, Python, SQL, GitHub, CI/CD, Databricks, Data Lakehouse, dbt, Git, Management, DevOps, Data Engineering, DWH, Data Modelling, Data Quality, Data Analytics, DataViz, Data Science, BI, IaC, Terraform, Tableau, Power BI, Snowflake
data engineer

Data Engineer @ multiplex

GB | 2025-12-24
The Data Engineer role involves maintaining and designing data pipelines, supporting migration from legacy systems, and collaborating on digital transformation efforts. A key differentiator is the... read more »
Analytics, BI, SQL Server, ADF, Power BI, DAX, ETL/ELT, Databricks, Data Quality, Data Engineering, SQL, Management, Data Analytics
data engineer

Data Engineer @ latentview-analytics

GB | 2025-12-22
This role involves building and scaling data pipelines, dashboards, and analytical infrastructure for international customer success insights, combining data engineering and analytics. A key... read more »
Dashboard, Analytics, Data Engineering, Data Analytics, SQL, Data Modelling, Big Data, Snowflake, Databricks, Spark, AWS, GCP, Azure, Tableau, Power BI, Looker, Python, R, API, Git, KPI, ETL/ELT, Data Governance, Qlik, BI, Data Science, Cloud Computing, CI/CD