9 power bi data engineer jobs found in London, greater london

Data Engineer (Databricks/AWS) | £450 - £475 day rate (Outside IR35) Are you a hands-on Data Engineer who loves moving legacy tech into the modern era? We are looking for a specialist to help a key client migrate away from legacy SQL stacks and stored procedures into a high-performance Databricks-based platform on AWS. This is a pure delivery role focused on building robust Python/SQL pipelines to handle real-time energy data, performing complex transformations and ensuring seamless delivery into Power BI. The Details: 💰 Rate: £450 - £475 per day (Multiple positions/levels available) ⏳ Duration: 6 Months 🛠️ Status: Outside IR35 🌍 Location: Fully Remote (UK Based) What you’ll be doing: Migrating legacy SQL-heavy processes into modern Databricks workflows. Building scalable data pipelines using Python, SQL, and Spark. Handling real-time/operational energy data and complex calculations. Preparing datasets and reporting outputs for Power BI...

Senior Data Engineer (GCP) - Outside IR35 - Hybrid 2/3 days onsite London - 3 year B2B contract I'm working with a client looking for a Senior GCP Data Engineer to help build and scale a modern data platform across GCP and Azure.  Role: Design and build scalable data pipelines (batch & streaming) Work with BigQuery, Dataflow, Pub/Sub, Airflow Deliver cloud data solutions across GCP & Azure Contribute to architecture and engineering best practices Key Skills: 5-6+ years Data Engineering experience 3-5 years with GCP Strong Python & SQL Experience with BigQuery, Dataflow, Pub/Sub, Airflow/dbt Modern data platform/lakehouse experience Desirable: Multi-cloud (GCP & Azure) Kafka/Event Hub BI tools (Power BI/Tableau) Cloud certifications Senior Data Engineer (GCP) - Outside IR35 - Hybrid 2/3 days onsite London - 3 year B2B contract

Senior Data Engineer – Analytics (Contract) Hybrid – London/Reading A data engineer is required to deliver insight‑ready datasets and support advanced analytics across a cloud‑based environment. The role focuses on building scalable pipelines, refining complex data sources, and enabling analysts and data scientists with high‑quality, well‑structured data. Key Responsibilities Develop and optimise data pipelines for analytics and modelling. Cleanse, transform, and analyse large datasets using Python/R . Maintain SQL‑driven processing workflows in the cloud. Perform EDA to identify trends, anomalies, and data issues. Collaborate with BI teams to deliver reliable analytical datasets. Skills & Experience Strong SQL and data wrangling. Proficient in Python or R. Experience with large, complex datasets and Power BI. AWS experience preferred: Glue, S3, Athena, Lambda, Redshift, Step Functions . Advantageous: statistics/ML exposure and telecom‑style data...

We are seeking a Data Engineer who will be responsible for delivering secure, scalable, and reliable data pipelines, models, and reporting datasets that support business intelligence, analytics, and AI/ML workloads. This role is hands-on across Microsoft Fabric (including OneLake) and Snowflake, with a strong focus on ETL/ELT engineering, data modelling, performance optimisation, and data governance. Client Details The client is a well-established organisation within the financial services sector, operating in a professional, fast-paced, and data-driven environment. They are investing heavily in modern cloud technologies, advanced analytics, and scalable data platforms to support both internal operations and customer-focused insights. Description Deliver and enhance ETL/ELT pipelines across Microsoft Fabric and Snowflake Configure and maintain ingestion from APIs, files, and other data feeds Implement integration patterns between OneLake and Snowflake Build and operate...

We are seeking a Data Engineer who will be responsible for delivering secure, scalable, and reliable data pipelines, models, and reporting datasets that support business intelligence, analytics, and AI/ML workloads. This role is hands-on across Microsoft Fabric (including OneLake) and Snowflake, with a strong focus on ETL/ELT engineering, data modelling, performance optimisation, and data governance. Client Details The client is a well-established organisation within the financial services sector, operating in a professional, fast-paced, and data-driven environment. They are investing heavily in modern cloud technologies, advanced analytics, and scalable data platforms to support both internal operations and customer-focused insights. Description Deliver and enhance ETL/ELT pipelines across Microsoft Fabric and Snowflake Configure and maintain ingestion from APIs, files, and other data feeds Implement integration patterns...

SC Cleared Data Warehouse Engineer - Outside IR35 - Remote Role Overview We are seeking a skilled Data Warehouse Engineer to design, build, and maintain scalable data warehouse solutions within the Microsoft Azure ecosystem. The role focuses on developing robust data models, optimizing analytical queries, and supporting enterprise reporting through Azure SQL, OLAP technologies, and DAX-powered semantic models. You will collaborate with data engineers, analysts, and business stakeholders to ensure reliable, high-performance data pipelines and analytics platforms. Key Responsibilities Data Warehouse Development Design and develop enterprise data warehouse solutions using Azure SQL Database/Azure SQL Managed Instance/Azure Synapse Analytics. Build and maintain star and snowflake schemas for analytical workloads. Develop ETL/ELT pipelines for ingesting and transforming data from multiple source systems. Implement data partitioning, indexing, and performance...

SC Cleared Data Warehouse Engineer - Outside IR35 - Remote Role Overview We are seeking a skilled Data Warehouse Engineer to design, build, and maintain scalable data warehouse solutions within the Microsoft Azure ecosystem. The role focuses on developing robust data models, optimizing analytical queries, and supporting enterprise reporting through Azure SQL, OLAP technologies, and DAX-powered semantic models. You will collaborate with data engineers, analysts, and business stakeholders to ensure reliable, high-performance data pipelines and analytics platforms. Key Responsibilities Data Warehouse Development Design and develop enterprise data warehouse solutions using Azure SQL Database / Azure SQL Managed Instance / Azure Synapse Analytics. Build and maintain star and snowflake schemas for analytical workloads. Develop ETL/ELT pipelines for ingesting and transforming data from multiple source systems. Implement data partitioning,...

Data Warehouse Engineer - Outside IR35 - Hybrid Job Summary We are seeking a skilled Data Warehouse Engineer with strong Power BI experience to design, develop, and maintain scalable data warehouse solutions and deliver impactful Business Intelligence dashboards. The ideal candidate will have expertise in data modelling, ETL/ELT processes, and Power BI reporting to support data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain enterprise data warehouse architectures and data pipelines. Build and optimize ETL/ELT processes to integrate data from multiple sources. Develop and maintain Power BI dashboards and reports that provide actionable business insights. Implement data models (star schema, snowflake schema) optimized for analytics and reporting. Ensure data quality, consistency, and governance across the data warehouse. Optimize query performance and data refresh processes . Work closely with...

Data Warehouse Engineer - Outside IR35 - Hybrid Job Summary We are seeking a skilled Data Warehouse Engineer with strong Power BI experience to design, develop, and maintain scalable data warehouse solutions and deliver impactful business intelligence dashboards. The ideal candidate will have expertise in data modeling, ETL/ELT processes, and Power BI reporting to support data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain enterprise data warehouse architectures and data pipelines. Build and optimize ETL/ELT processes to integrate data from multiple sources. Develop and maintain Power BI dashboards and reports that provide actionable business insights. Implement data models (star schema, snowflake schema) optimized for analytics and reporting. Ensure data quality, consistency, and governance across the data warehouse. Optimize query...