Databricks Azure Data Engineer x2 - UK Wide (Hybrid Working)

Adecco; United Kingdom; Hybrid; GBP 72,000 - 80,000; Full time

Job summary

A leading recruitment agency seeks an Azure/Databricks Data Engineer to design and implement scalable data platforms. In this hybrid role, you will focus on developing data pipelines using Databricks and Apache Spark, and integrating AI/ML models. Candidates should possess strong analytical skills and relevant certifications in Azure and Databricks.

Qualifications

• Solid experience as a Data Engineer or similar role.
• Proven expertise in Databricks and data pipeline development.
• Experience with Microsoft Azure cloud platform.

Responsibilities

• Design and build high-performance data pipelines.
• Develop and maintain secure data warehouses.
• Build and deploy AI/ML models.

Skills

Databricks

Apache Spark

Data pipeline development

Azure Data Lake Storage

Machine Learning

Problem-solving

Communication

Teamwork

Education

Azure Data Engineer Associate

Databricks Certified Data Engineer Professional

Tools

Azure Data Factory

Job description

Azure/Databricks Data Engineer x2 - UK Wide (Hybrid Working)

72,000- 80,000

Duties

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.

Skills / Experience

• 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: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
• Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.
• Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery work
• Solid experience as a Data Engineer or similar role.
• Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices.
• Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory.
• Excellent problem-solving and analytical skills and strong communication and teamwork skills.
• Azure Data Engineer Associate and Databricks Certified Data Engineer Professional