At a Glance
- Tasks: Build scalable data solutions using Python, AWS, and Snowflake to solve complex business challenges.
- Company: Join Liberty IT, a leading tech wing of Liberty Mutual Insurance, known for innovation.
- Benefits: Enjoy competitive salary, remote work options, and opportunities for professional growth.
- Other info: Dynamic team culture with excellent career progression and mentorship opportunities.
- Why this job: Develop your data engineering skills in a supportive environment while making a real impact.
- Qualifications: Strong Python experience and knowledge of cloud data technologies required.
The predicted salary is between 63000 - 77000 £ per year.
Reach beyond with Liberty IT; for this is where you'll find the super challenges, where you'll be given the scope and the support to go further, dig deeper and fly higher. We won't stand over your shoulder. We won't get in your way. We certainly won't hold you back. You'll bring the expertise. We'll provide the platform to succeed.
Build your data engineering capability with us. Join a team where software engineering and data engineering come together to solve complex business challenges at scale. This role is designed to give you meaningful opportunities to grow your data engineering skills in a supportive, hands-on environment.
You'll work with Python, AWS and Snowflake to build the data foundations that power pricing and modelling decisions across Liberty Mutual. Along the way, you'll develop practical experience in modern cloud data engineering, learn from experienced engineers, and build the confidence to take on increasingly complex data products and platforms.
Whether you're looking to deepen your existing data engineering expertise or broaden your software engineering experience into data, this is an opportunity to learn, experiment and progress your career in Data.
Experience and skills we need
- Strong experience developing high-quality, scalable software solutions using Python
- Experience building and managing data pipelines, data products, or analytical platforms in cloud environments
- Strong understanding of data engineering fundamentals, including data modelling, data quality, governance, and optimisation
- Experience working with AWS and cloud-native data technologies
- Experience delivering solutions using Snowflake or similar enterprise data platforms
- Experience designing, building and maintaining reliable, scalable data processing solutions
- Experience working in agile software development teams and delivering production-ready software
- Experience collaborating with data scientists, analysts, product owners, and business stakeholders to solve complex business challenges
- A third level qualification in Software Engineering, Computer Science, Data Engineering, or a STEM subject and 3+ years' software development experience in a commercial environment; or current and valid industry-recognised certifications and 5+ years' software development experience in a commercial environment
Experience and skills we'd love
- Experience with dbt, Databricks, Airflow, or similar modern data engineering technologies
- Strong analytical SQL skills and experience optimising large-scale datasets
- Experience building solutions that support machine learning, data science, or predictive modelling teams
- Experience implementing data governance, compliance, and security controls within data platforms
- Experience working with large-scale cloud data ecosystems and distributed processing technologies
What you'll be doing
- Be part of a team transforming and delivering high-quality, scalable and compliant datasets that power insurance pricing and modelling capabilities
- Build robust Python-based solutions that enable the efficient ingestion, transformation and delivery of business-critical data
- Design, develop and maintain data pipelines and data products that support pricing, modelling and analytics teams
- Work with AWS and Snowflake technologies to deliver secure, scalable and high-performing data solutions
- Collaborate closely with data scientists, engineers, product partners and business stakeholders to understand requirements and deliver value
- Ensure data quality, reliability and compliance through engineering best practices and automated testing
- Contribute to the architecture and design of modern data platforms and services
- Maintain and improve CI/CD processes and engineering standards across the team
- Mentor and support other engineers while helping to raise technical standards and promote best practices
- Assess emerging technologies and identify opportunities to improve the data engineering ecosystem
Your Data upskilling opportunities
In this role, you'll be supported to build capability across the full data engineering lifecycle. You will have opportunities to:
- Develop deeper expertise in Python for production-grade data engineering
- Build hands-on experience with AWS, Snowflake and modern cloud-native data architectures
- Strengthen your skills in data modelling, data quality, governance, security and optimisation
- Learn and apply technologies such as dbt, Databricks, Airflow and distributed data processing tools
- Improve your analytical SQL skills by working with large-scale datasets
- Gain insight into how data products support pricing, modelling, analytics and machine learning
- Learn from experienced engineers through pairing, mentoring, code reviews and collaborative design
- Take ownership of increasingly complex stories, components and data products as your skills develop
- Contribute to technical communities, continuous improvement and the evolution of our data engineering standards
You don't need to know every technology on day one. We value curiosity, problem-solving and a willingness to learn, and we'll help you turn those qualities into strong, practical Data engineering capability.
Senior Software Engineer - Data in Belfast employer: Liberty Information Technology
Liberty IT is an exceptional employer that fosters a collaborative and innovative work culture, where you can thrive as a Principal Software Engineer. With a strong emphasis on employee growth, you'll have the opportunity to mentor others while working on cutting-edge AI-driven cloud solutions in a supportive agile environment. Located in a vibrant tech hub, we offer competitive benefits and a commitment to work-life balance, making it a rewarding place to advance your career.
Contact Details:
Liberty Information Technology Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Data in Belfast
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Liberty Information Technology or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Liberty Information Technology.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Liberty Information Technology.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Liberty Information Technology that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Software Engineer - Data in Belfast
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Liberty Information Technology.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Liberty Information Technology and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Liberty Information Technology
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Liberty Information Technology uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
