Senior Data Engineer

This is an opportunity to join a growing technology business at the forefront of data, analytics, and AI innovation. As a Senior Data Engineer, you will play a key role in building scalable data platforms, enabling advanced AI capabilities, and helping shape engineering best practices within a collaborative, product-focused environment., Responsibilities include but are not limited to:

• Design, build and optimise scalable ETL/ELT pipelines across cloud-based data platforms
• Contribute to data architecture, schema design and data modelling best practices
• Support CI/CD processes, deployment automation and version-controlled development
• Integrate AI and machine learning capabilities into production
• Support the adoption of DataOps best practices
• Mentor junior engineers and help develop engineering capability across the team
• Work across a variety of cloud technologies, data platforms and modern engineering tools

• At least 3 years prior experience in Data Engineering, Data Platform Engineering or a similar role
• Strong SQL and Python skills
• Experience designing and developing scalable ETL/ELT pipelines
• Strong understanding of data modelling
• Experience working within cloud platforms such as Azure, AWS and/or GCP
• Knowledge of Git, CI/CD pipelines and DevOps practices
• Strong stakeholder communication skills with experience working across technical and non-technical teams, * Git
• CI/CD
• Data Engineering
• ETL/ELT Development
• Data Architecture
• Data Modelling
• DevOps
• Python
• SQL
• Cloud Platforms (Azure/AWS/GCP)

• £70,000 - £80,000 base salary
• Private Medical
• 25 days Holiday
• Pension Scheme

Our client is an established SaaS organisation developing data and AI-driven products that help businesses unlock greater value from their data. Combining expertise in data engineering, analytics, and machine learning to deliver scalable solutions across a range of industries. This is an opportunity to work within a collaborative, lean engineering team where you’ll have real ownership, help shape technical direction, and play a key role in building innovative AI-powered products that deliver value from complex data.