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 experience.
Proven data ingestion experience.
Azure Data Factory.
Databricks Lakeflow.
SQL and API integration.
Medallion Architecture.
Strong Python.
dbt.
Experience with incremental/batch data ingestion.We're looking for this person to be Immediate availability or able to start within 1-2 weeks
or continue with email
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 experience.
Proven data ingestion experience.
Azure Data Factory.
Databricks Lakeflow.
SQL and API integration.
Medallion Architecture.
Strong Python.
dbt.
Experience with incremental/batch data ingestion.We're looking for this person to be Immediate availability or able to start within 1-2 weeks
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