Senior Data Engineer

Amtis - Digital, Technology, Transformation

West Midlands, England

10 months ago

Applications closed

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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.

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