3 azure databricks engineer jobs found in London

Senior Data Engineer | Outside IR35 Contract 6 months | 1 Day pw in London | £550 - 700pd Harvey Nash are working with a global mining company, who are looking to bolster their team with an experienced Senior Data Engineer on a contract basis. The role requires 1 day pw in London - Goodge St station 1 min walk away. Essential experience: SQL - Query optimisation, indexing strategy, performance diagnosis Azure - Data Factory, Databricks, DevOps Spark, Synapse, PowerBI Stakeholder Management Individual contributor, standard setter, strong communicator Contract Details: 6 months - extensions possible Outside IR35 £550 - 700pd Hybrid - 1 day pw in London (near Goodge St Station) ASAP Start If you're interested in this position, please apply now.

Databricks Data Engineer – Data Ingestion 6 months - £550 a day (outside IR35) Location: UK – Hybrid/Remote We are looking for an experienced Azure Databricks Data Engineer / Data Ingestion Engineer to join a large, global organisation. The role is focused on data ingestion and engineering, connecting data from multiple sources and building robust pipelines within a modern Azure/Databricks environment. Key Responsibilities Build and maintain data ingestion pipelines using Databricks. Connect to multiple data sources including SQL databases, APIs and Azure services. Develop pipelines using Azure Data Factory and Databricks Lakeflow. Implement appropriate ingestion strategies including incremental and batch loads. Develop ETL/ELT processes using Databricks Medallion Architecture. Write and maintain Python data engineering code. Use dbt for data transformation and modelling. Ensure pipelines are scalable, reliable and maintainable. Key Essential...

Databricks Data Engineer - Data Ingestion 6 months - £550 a day (outside IR35) Location: UK - Hybrid/Remote We are looking for an experienced Databricks Data Engineer/Data Ingestion Engineer to join a large, global organisation. The role is focused on data ingestion and engineering, connecting data from multiple sources and building robust pipelines within a modern Azure/Databricks environment. Key Responsibilities Build and maintain data ingestion pipelines using Databricks. Connect to multiple data sources including SQL databases, APIs and Azure services. Develop pipelines using Azure Data Factory and Databricks Lakeflow. Implement appropriate ingestion strategies including incremental and batch loads. Develop ETL/ELT processes using Databricks Medallion Architecture. Write and maintain Python data engineering code. Use dbt for data transformation and modelling. Ensure pipelines are scalable, reliable and maintainable. Key Skills Strong commercial Databricks...