Senior Data Engineer

Amtis - Digital, Technology, Transformation
Birmingham
8 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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