At a Glance
- Tasks: Build and maintain scalable data pipelines and support complex datasets.
- Company: Join a mission-driven company focused on solving society's big problems.
- Benefits: Enjoy competitive salary, flexible hours, remote work, and generous leave policies.
- Other info: Opportunities for training, development, and excellent career growth.
- Why this job: Make a real impact with your skills in a collaborative and innovative environment.
- Qualifications: 3+ years in data engineering, strong SQL and Python skills required.
The predicted salary is between 45000 - 60000 £ per year.
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 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.
Remote Data Engineer — Scalable Data Pipelines & Platforms employer: Xantura Limited
Xantura is an exceptional employer that prioritises employee well-being and professional growth, offering a competitive salary and flexible working hours to accommodate life commitments. With a strong focus on social impact, employees are encouraged to contribute to meaningful projects while benefiting from comprehensive training opportunities, generous leave policies, and robust health support services. The collaborative work culture fosters innovation and continuous improvement, making it an ideal environment for Data Engineers looking to make a difference in the world.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Engineer — Scalable Data Pipelines & Platforms
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Azure Data Factory or SQL Server. This gives you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you tackled challenges. Confidence is key, so get comfortable talking about your experience!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission-driven team at Xantura.
We think you need these skills to ace Remote Data Engineer — Scalable Data Pipelines & Platforms
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, ETL processes, and any relevant tools like Azure Data Factory. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our mission at Xantura. Be sure to mention any specific projects or experiences that relate to the job description.
Show Off Your Technical Skills:In your application, don’t forget to showcase your technical expertise. Mention your proficiency in SQL, Python, and any experience with data quality management. We love seeing candidates who can demonstrate their skills clearly!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Xantura Limited
✨Know Your Data Tools
Make sure you brush up on your knowledge of Azure Data Factory and SQL Server. Be ready to discuss how you've used these tools in past projects, focusing on specific challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your analytical skills and ability to troubleshoot data issues. Think of situations where you had to identify a problem in a data pipeline and how you resolved it, as this will demonstrate your technical expertise.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You might be asked to present findings or collaborate with non-technical team members, so being able to communicate effectively is key.
✨Emphasise Continuous Improvement
Be ready to discuss how you've contributed to improving data processes in previous roles. Share specific examples of how you identified inefficiencies and implemented solutions, showing your commitment to enhancing the team's performance.
