Azure Databricks Data Engineer

Azure Databricks Data Engineer

Posted Today by ValueMomentum

Negotiable
Undetermined
Undetermined
London Area, United Kingdom

Summary: The Azure Databricks Data Engineer role requires an experienced professional to design, develop, and manage data pipelines utilizing Azure services such as Databricks, Data Factory, and Datalake. The position involves building scalable ETL solutions and collaborating with cross-functional teams to process large volumes of data. The engineer will work closely with both business and technical teams to deliver robust data models and transformations for analytics and reporting. A strong background in Azure services and data processing is essential for success in this role.

Key Responsibilities:

  • Design and develop ETL pipelines using ADF for data ingestion and transformation.
  • Collaborate with Azure stack modules like Data Lakes and SQL DW to handle large volumes of data.
  • Write SQL, Python, and PySpark code to meet data processing and transformation needs.
  • Understand business requirements and create data flow processes that meet them.
  • Develop mapping documents and transformation business rules.
  • Ensure continuous communication with the team and stakeholders regarding project status.

Key Skills:

  • 8+ years of experience in data ingestion, data processing, and analytical pipelines for big data and relational databases.
  • Extensive hands-on experience with Azure services: Databricks, Data Factory, ADLS, Synapse, and Azure SQL.
  • Experience in SQL, Python, and PySpark for data transformation and processing.
  • Strong understanding of DevOps, CI/CD deployments, and Agile methodologies.
  • Strong communication skills and attention to detail.
  • Experience in the insurance or financial industry is preferred.

Salary (Rate): undetermined

City: London Area

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Job Title: Azure Databricks Data Engineer

Primary skills: Advanced SQL, Azure Databricks, Azure Data Factory, Azure Datalake.

Secondary skills: Azure SQL, PySpark, Azure Synapse.

Experience: 10+ Years of Experience

About the job

We are looking for an experienced Databricks Data Engineer to design, develop, and manage data pipelines using Azure services such as Databricks, Data Factory, and Datalake. The role involves building scalable ETL solutions, collaborating with cross-functional teams, and processing large volumes of data. You will work closely with business and technical teams to deliver robust data models and transformations in support of analytics and reporting needs.

  • Responsibilities:
  • Design and develop ETL pipelines using ADF for data ingestion and transformation.
  • Collaborate with Azure stack modules like Data Lakes and SQL DW to handle large volumes of data.
  • Write SQL, Python, and PySpark code to meet data processing and transformation needs.
  • Understand business requirements and create data flow processes that meet them.
  • Develop mapping documents and transformation business rules.
  • Ensure continuous communication with the team and stakeholders regarding project status.
  • Requirements - Must Have:
  • 8+ years of experience in data ingestion, data processing, and analytical pipelines for big data and relational databases.
  • Extensive hands-on experience with Azure services: Databricks, Data Factory, ADLS, Synapse, and Azure SQL.
  • Experience in SQL, Python, and PySpark for data transformation and processing.
  • Strong understanding of DevOps, CI/CD deployments, and Agile methodologies.
  • Strong communication skills and attention to detail.
  • Experience in the insurance or financial industry is preferred.

About ValueMomentum

ValueMomentum is a leading solutions provider for the global property & casualty insurance industry, supported by deep domain and technology capabilities. We offer a comprehensive suite of advisory, development, implementation, and maintenance services across the entire P&C insurance value chain. This includes Underwriting, Claims, Distribution, and more, empowering insurers to stay ahead with sustained growth, high performance, and enhanced stakeholder value. Trusted by over 75 insurers, ValueMomentum is one of the largest standalone insurance-focused solutions providers to the global insurance industry.