Job Title: Azure Databricks Data Engineer

Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.

Location: UK Wide Offices – Hybrid Role (predominantly remote working)

Salary: £75,000 to £95,000, , Pension and Benefits & Bonus!

About The Job Your Considering:

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.

• 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.

Required Skills and Qualifications:

• 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.

• Excellent problem-solving and analytical skills.

• Strong communication and teamwork skills.

• Passion for data and a thirst for learning.

Your Security Clearance

To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.

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