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

Data engineering and infrastructure

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 workingA 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

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

Data Engineer

About this role

Key Responsibilities

Skills, Knowledge & Expertise

Benefits

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