Data Engineer, Xantura

• A degree in a quantitative or technical field such as Computer Science, Data or Software Engineering, Maths, Statistics, etc, or equivalent practical experience
• 3+ years’ professional experience in a data engineering, platform engineering, or similar technical role
• Strong technical expertise in:
• Data models, database design development and segmentation techniques
• SQL – including complex queries, performance tuning, and stored procedures
• Python – scripting and automation of data workflows
• ETL/ELT frameworks – especially Azure Data Factory or similar tools
• Data quality management, validation, and alerting techniques
• Strong analytical skills, with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy
• Clear communication and collaboration skills - able to write reports, present findings to stakeholders, and work productively as part of a multi-disciplinary team
• A continuous improvement mindset, you look for opportunities to improve our tools, documentation, or ways of working
• A passion for social impact – you’re excited about what we’re doing and driven to help Xantura succeed

Desirable

• Design, build and maintain data pipelines and ETL/ELT processes using tools such as Azure Data Factory and SQL Server
• Ingest data from a variety of structured and semi-structured sources, ensuring scalability, performance, and data quality
• Implement monitoring, logging, and alerting for data pipelines to proactively detect and resolve issues
• Manage and version database schemas and transformations to support evolving platform requirements
• Automate repeatable processes to reduce manual intervention and improve reliability
• Work closely with software engineers and product managers to ensure data components align with product architecture and roadmap
• Support the configuration and rollout of technical components to new and existing clients, including setup of pipelines and data validation
• Provide technical troubleshooting and support for platform bugs and data issues
• Write and maintain internal documentation for data processes, configuration, and engineering practices
• Collaborate across Platform, QA, and Customer Success to ensure smooth handover and deployment
• Identify and implement opportunities to improve data infrastructure, tools, practice
• Contribute to team standards around testing, code review, and deployment for data-related components
• Support knowledge sharing and upskilling across the wider engineering team

• Applications close 9th October