Azure Databricks Data Engineer
Posted on Sep 19, 2024 by CV-Library
London, United Kingdom
IT
Immediate Start
£85k - £95k Annual
Full-Time
Azure Databricks Data Engineer - UK Wide - Hybrid
Salary: £85,000 - £95,000 - Bonus + Pension + Private Healthcare
Location: London / UK Wide Location - Hybrid working
To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.
Unfortunately, our client is unable to progress applicants on a VISA
The Role:
As a Databricks Data Engineer with an Azure focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.
Your Role
Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.
Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
Monitor and optimize data pipelines and infrastructure: Analyse performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
Key Skills and Experience
Minimum 3+ years of experience as a Data Engineer or similar role.
Proven expertise in Databricks, Apache Spark, and data pipeline development.
Strong understanding of data warehousing concepts and practices.
Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory.
Knowledge of SQL and scripting languages like Python or Scala.
Hands-on experience with AI/ML concepts and tools.
Desirable:
Experience with cloud data warehousing solutions like Azure Synapse Analytics.
Expertise in specific data visualization tools.
Proven ability to build and deploy production-ready AI/ML models.
To apply please click the "Apply" button and follow the instructions.
83DATA is a boutique Tech & Data Recruitment Consultancy based in the UK. We provide high-quality interim and permanent Tech & Data professionals
Salary: £85,000 - £95,000 - Bonus + Pension + Private Healthcare
Location: London / UK Wide Location - Hybrid working
To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.
Unfortunately, our client is unable to progress applicants on a VISA
The Role:
As a Databricks Data Engineer with an Azure focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.
Your Role
Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.
Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
Monitor and optimize data pipelines and infrastructure: Analyse performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
Key Skills and Experience
Minimum 3+ years of experience as a Data Engineer or similar role.
Proven expertise in Databricks, Apache Spark, and data pipeline development.
Strong understanding of data warehousing concepts and practices.
Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory.
Knowledge of SQL and scripting languages like Python or Scala.
Hands-on experience with AI/ML concepts and tools.
Desirable:
Experience with cloud data warehousing solutions like Azure Synapse Analytics.
Expertise in specific data visualization tools.
Proven ability to build and deploy production-ready AI/ML models.
To apply please click the "Apply" button and follow the instructions.
83DATA is a boutique Tech & Data Recruitment Consultancy based in the UK. We provide high-quality interim and permanent Tech & Data professionals
Reference: 222353575
https://jobs.careeraddict.com/post/95443774
Azure Databricks Data Engineer
Posted on Sep 19, 2024 by CV-Library
London, United Kingdom
IT
Immediate Start
£85k - £95k Annual
Full-Time
Azure Databricks Data Engineer - UK Wide - Hybrid
Salary: £85,000 - £95,000 - Bonus + Pension + Private Healthcare
Location: London / UK Wide Location - Hybrid working
To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.
Unfortunately, our client is unable to progress applicants on a VISA
The Role:
As a Databricks Data Engineer with an Azure focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.
Your Role
Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.
Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
Monitor and optimize data pipelines and infrastructure: Analyse performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
Key Skills and Experience
Minimum 3+ years of experience as a Data Engineer or similar role.
Proven expertise in Databricks, Apache Spark, and data pipeline development.
Strong understanding of data warehousing concepts and practices.
Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory.
Knowledge of SQL and scripting languages like Python or Scala.
Hands-on experience with AI/ML concepts and tools.
Desirable:
Experience with cloud data warehousing solutions like Azure Synapse Analytics.
Expertise in specific data visualization tools.
Proven ability to build and deploy production-ready AI/ML models.
To apply please click the "Apply" button and follow the instructions.
83DATA is a boutique Tech & Data Recruitment Consultancy based in the UK. We provide high-quality interim and permanent Tech & Data professionals
Salary: £85,000 - £95,000 - Bonus + Pension + Private Healthcare
Location: London / UK Wide Location - Hybrid working
To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.
Unfortunately, our client is unable to progress applicants on a VISA
The Role:
As a Databricks Data Engineer with an Azure focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.
Your Role
Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.
Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
Monitor and optimize data pipelines and infrastructure: Analyse performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
Key Skills and Experience
Minimum 3+ years of experience as a Data Engineer or similar role.
Proven expertise in Databricks, Apache Spark, and data pipeline development.
Strong understanding of data warehousing concepts and practices.
Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory.
Knowledge of SQL and scripting languages like Python or Scala.
Hands-on experience with AI/ML concepts and tools.
Desirable:
Experience with cloud data warehousing solutions like Azure Synapse Analytics.
Expertise in specific data visualization tools.
Proven ability to build and deploy production-ready AI/ML models.
To apply please click the "Apply" button and follow the instructions.
83DATA is a boutique Tech & Data Recruitment Consultancy based in the UK. We provide high-quality interim and permanent Tech & Data professionals
Reference: 222353575
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