Senior Data Engineer

Looking for a Senior Data Engineer role where you can influence technical direction rather than simply deliver requirements? This is an opportunity to join a highly collaborative data team undergoing a major cloud transformation, with genuine scope to take ownership of data delivery, shape architecture decisions, and work closely with senior business stakeholders., They are currently delivering a large-scale migration from legacy data environments into a modern cloud architecture, creating an exciting environment for experienced data professionals who enjoy solving complex challenges and influencing best practice., As a Senior Data Engineer, you will work closely with technical leaders and business stakeholders to design, build, and optimise modern data solutions., * Designing and building scalable data pipelines using Snowflake, dbt, and SQL

• Supporting the migration of legacy SQL Server environments into a modern cloud-based platform
• Gathering and translating business requirements into effective data solutions
• Monitoring, maintaining, and improving production data pipelines
• Contributing to data architecture and platform design decisions
• Promoting engineering best practices across testing, version control, and CI/CD
• Supporting semantic modelling and wider analytics platform initiatives
• Collaborating with stakeholders across multiple business functions
• Contributing to future AI and automation projects
• Mentoring colleagues and sharing technical knowledge within the data team

• Strong commercial experience as a Data Engineer, Senior Data Engineer, or Analytics Engineer
• Advanced SQL skills and a solid understanding of data warehousing concepts
• Hands-on experience with Snowflake and dbt
• Experience building robust and scalable cloud-based data pipelines
• Knowledge of Git, CI/CD, and modern engineering practices
• Experience working directly with non-technical stakeholders to define requirements
• Strong communication and relationship-building skills
• Exposure to Python for data ingestion or automation
• Experience within regulated environments is beneficial but not essential
• Knowledge of Power BI, semantic layers, or modern analytics architectures would be advantageous, * Amazon Web Services (AWS)
• Cloud Services & Infrastructure
• Communication Skills
• Data Pipeline Development
• Data Warehousing
• ETL
• Microsoft Azure
• Python Programming
• SQL Databases
• Stakeholder Management

• Salary of £85,000 - £105,000
• Discretionary annual bonus
• Comprehensive benefits package
• Hybrid working with two office days per week
• Significant ownership and autonomy within the data function
• Direct exposure to architecture and strategic technology decisions
• The opportunity to work on modern Snowflake, dbt, cloud, and AI initiatives
• Clear progression into more senior technical and architectural responsibilities

This established UK organisation operates at significant scale and is investing heavily in the evolution of its cloud data platform. Their Business Intelligence function plays a critical role in supporting business operations, analytics, regulatory reporting, and strategic decision-making.