Senior Data Engineer

Senior Data Engineer – Azure Platform

Overview

Amtis is proud to be recruiting for an exciting opportunity to join a forward-thinking data team. This role is ideal for a technically skilled and proactive data engineer passionate about building scalable, secure, and high-performing data solutions in Azure. You’ll play a key role in shaping the data strategy, enhancing platform capabilities, and supporting business intelligence initiatives.

Key Responsibilities

• Design and develop Azure data pipelines using Data Factory, Databricks, and related services.
• Implement and optimize ETL processes for performance, reliability, and cost-efficiency.
• Build scalable data models and support analytics and reporting needs.
• Design and maintain Azure-based data warehouses and data lakes.
• Ensure data governance, security, and compliance with GDPR and other regulations.
• Collaborate with cross-functional teams to gather requirements and deliver solutions.
• Manage Azure SQL databases, including performance tuning and monitoring.
• Monitor and maintain data infrastructure, resolving issues proactively.
• Document technical designs and share knowledge through training and code reviews.
• Contribute to big data analytics and machine learning initiatives.
• Continuously improve platform performance and adopt new Azure capabilities.

Requirements

• Strong experience with Azure Databricks.
• Proficient with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, and Event Hubs.
• Skilled using Python, Scala, C#, .NET, and advanced SQL (T-SQL).
• Experience with CI/CD pipelines using Azure DevOps and infrastructure as code (Terraform, BICEP, ARM).
• Solid understanding of data engineering, distributed computing, and cloud-native design.
• Experience in data modelling, metadata management, and data quality practices.
• Strong communication and stakeholder engagement skills.
• Self-starter with a proactive mindset and ability to overcome challenges.
• Empathetic and collaborative team player open to new ideas and technologies.
• Desirable: Machine learning engineering knowledge.

Midlands based opportunity

Hybrid working – 1 day on-site per week

Salary package - £60,000-£65,000

Great benefits package on offer

If you’re interested in this opportunity, and have full right to work in the UK, please apply with you updated CV.