Data Engineer

As a Data Engineer in the Platform Delivery team, you will play a key role in building and maintaining the data infrastructure that underpins Xantura’s core products. You’ll develop robust, secure, and scalable data pipelines, support the ingestion and transformation of complex datasets, and work closely with engineers, QA, and product teams to enable the ongoing evolution of our platform. You’ll be responsible for ensuring data flows smoothly through our systems, is well documented and high quality, and supports downstream use cases including analytics, reporting, and decision support. You’ll help shape our engineering practices as we scale, and support operational delivery through strong technical implementation.

Key Responsibilities

• 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.

Platform delivery and product support

• 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.

Collaboration and continuous improvement

• 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.

Skills, Knowledge & Expertise

We’d love to hear from you if you have:

• 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.

Bonus Points if you have:

• Experience working with the public sector (local or central government) or as a vendor/consultant to public sector clients.
• Familiarity with privacy, security, and information governance in data projects.
• Knowledge of Azure DevOps, CI/CD pipelines, or infrastructure as code.
• Experience with Power BI, Tableau, or similar reporting tools.
• Familiarity with .NET, JavaScript, or broader software engineering practices.

Job Benefits

• Competitive salary reviewed annually.
• Work for a passionate, mission‑driven company solving society’s big problems.
• Work flexible hours around life commitments with a focus on delivering company value rather than hours worked.
• Ability to work remotely (excluding face‑to‑face team meetings and client meetings).
• Training and development opportunities.
• 25 days annual leave (plus bank holidays).
• Company pension.
• Private medical insurance.
• Generous enhanced parental leave policies.
• Cycle to work scheme.
• Flu vaccinations.
• Eye test and contribution towards glasses for VDU use.
• Employee Assistance Programme - Mental health and wellbeing support.
• Remote GP access.
• Counselling/therapy.
• Physiotherapy.
• Medical second opinions.