Azure Data Engineer: Build Scalable Data Pipelines

Reply; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Reply specialises in designing and implementing data solutions using cloud technologies, with a focus on Azure services such as Azure Data Factory, Databricks, Synapse Analytics and Data Lake Storage. As a Data Engineer, you will design, develop, and deploy scalable data pipelines, collaborate with clients and internal teams, and mentor junior engineers to support growth of the team.

This is a customer-facing role requiring strong communication, proactive problem solving, and the ability to work

Qualifications

• Experience in data engineering with Microsoft Azure.
• Hands-on experience with Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage.
• Strong Python, Scala, or SQL development background.
• Understanding of data modelling and analytics solutions.
• Ability to work in a customer-facing role, engaging effectively with clients and stakeholders.
• Self-sufficient, with excellent problem-solving and communication skills.

Responsibilities

• Design, develop, and maintain data pipelines using Azure Data Factory and Databricks.
• Implement data models and analytics solutions using Synapse Analytics and Data Lake Storage.
• Collaborate with clients to understand their data needs and provide tailored solutions.
• Develop and optimise ETL/ELT processes to maintain data integrity and performance.
• Ensure data solutions are scalable, resilient, and secure.
• Troubleshoot and resolve data-related issues efficiently.
• Document technical solutions and best practice.
• Mentor junior engineers and contribute to team development.

Skills

Azure Data Factory

Databricks

Synapse Analytics

Data Lake Storage

Python/Scala/SQL

Client-facing

Tools

Azure Databricks

Logic Apps (adv)

Job description

Reply specialises in designing and implementing data solutions using cloud technologies, with a focus on Azure services such as Azure Data Factory, Databricks, Synapse Analytics and Data Lake Storage. As a Data Engineer, you will design, develop, and deploy scalable data pipelines, collaborate with clients and internal teams, and mentor junior engineers to support growth of the team.

This is a customer-facing role requiring strong communication, proactive problem solving, and the ability to work