Azure Data Engineer
This is an exciting contract opportunity for an SC Cleared Azure Data Engineer to join an experienced team in a new customer engagement working at the forefront of data analytics and Artificial Intelligence. Our client equips ambitious organisations with enduring control of their data and AI evolution. This role is an opportunity to lead the build of bespoke data systems for our clients.
• Rate offered: £500-550 per day
• Location: Hybrid with travel to client site 1 day/ week.
• Required: Active SC Clearance
This is an exciting contract opportunity for an SC Cleared Azure Data Engineer to join an experienced team in a new customer engagement working at the forefront of data analytics and Artificial Intelligence. Our client equips ambitious organisations with enduring control of their data and AI evolution. This role is an opportunity to lead the build of bespoke data systems for our clients.
Responsibilities:
• Design and implement scalable data pipelines and ETL processes using Azure and Databricks technologies including Delta Live Tables.
• Lead technical discussions with clients and stakeholders to gather requirements and propose solutions.
• Help clients realise the potential of data science, machine learning, and scaled data processing within Azure / Databricks ecosystem.
• Mentor junior team members and support their personal development .
• Take ownership for the delivery of core solution components.
• Support with planning, requirements refinement and work estimation.
Skills and Experiences:
• Design and develop end-to-end data solutions leveraging Azure services for batch, real time and streaming workloads (including data ingestion, cleansing, modelling and integration)
• Strong background of enterprise data platform development, concepts and methods such as data warehouses and data lakehouse, with the ability to adapt and tailor based on requirements
• Experience with Azure Synapse Analytics/or Azure Databricks, Microsoft Fabric, Data Factory.
• Expert Python, SQL and developer tooling such Visual Studio Code, Azure DevOps
• Good experience of CI/CD practices and tools for data platforms using Azure DevOps
• Good knowledge on how to leverage AI to increase development productivity and quality
• Good understanding of data governance and data architecture principles
• Excellent communication skills
• Desirable certification in Azure Data Engineering and Databricks Engineering
Additional Information:
• Rate offered: £500-550 per day
• Location: Hybrid with travel to client site 1 day/ week.
• Start date: 1st May
• Duration: 6 months initial sign up with significant opportunity for extension
• Required: Active SC Clearance
This is an exciting contract opportunity for an SC Cleared Azure Data Engineer to join an experienced team in a new customer engagement working at the forefront of data analytics and Artificial Intelligence. Our client equips ambitious organisations with enduring control of their data and AI evolution. This role is an opportunity to lead the build of bespoke data systems for our clients.
• Rate offered: £500-550 per day
• Location: Hybrid with travel to client site 1 day/ week.
• Required: Active SC Clearance
This is an exciting contract opportunity for an SC Cleared Azure Data Engineer to join an experienced team in a new customer engagement working at the forefront of data analytics and Artificial Intelligence. Our client equips ambitious organisations with enduring control of their data and AI evolution. This role is an opportunity to lead the build of bespoke data systems for our clients.
Responsibilities:
• Design and implement scalable data pipelines and ETL processes using Azure and Databricks technologies including Delta Live Tables.
• Lead technical discussions with clients and stakeholders to gather requirements and propose solutions.
• Help clients realise the potential of data science, machine learning, and scaled data processing within Azure / Databricks ecosystem.
• Mentor junior team members and support their personal development .
• Take ownership for the delivery of core solution components.
• Support with planning, requirements refinement and work estimation.
Skills and Experiences:
• Design and develop end-to-end data solutions leveraging Azure services for batch, real time and streaming workloads (including data ingestion, cleansing, modelling and integration)
• Strong background of enterprise data platform development, concepts and methods such as data warehouses and data lakehouse, with the ability to adapt and tailor based on requirements
• Experience with Azure Synapse Analytics/or Azure Databricks, Microsoft Fabric, Data Factory.
• Expert Python, SQL and developer tooling such Visual Studio Code, Azure DevOps
• Good experience of CI/CD practices and tools for data platforms using Azure DevOps
• Good knowledge on how to leverage AI to increase development productivity and quality
• Good understanding of data governance and data architecture principles
• Excellent communication skills
• Desirable certification in Azure Data Engineering and Databricks Engineering
Additional Information:
• Rate offered: £500-550 per day
• Location: Hybrid with travel to client site 1 day/ week.
• Start date: 1st May
• Duration: 6 months initial sign up with significant opportunity for extension
• Required: Active SC Clearance
