Senior Software Engineer - Data
Role Overview
Combine software and data engineering to solve complex business challenges at scale.
Build data foundations that support Liberty Mutual pricing and modelling decisions.
The role offers hands-on opportunities to develop data engineering capability and grow into more complex data products and platforms.
Key Skills for This Role
Full Job Posting
Role overview
Combine software and data engineering to solve complex business challenges at scale.
Build data foundations that support Liberty Mutual pricing and modelling decisions.
The role offers hands-on opportunities to develop data engineering capability and grow into more complex data products and platforms.
Required experience and qualifications
- Strong experience developing high-quality, scalable software solutions using Python.
- Experience building and managing cloud data pipelines, data products, or analytical platforms.
- Strong understanding of data modelling, data quality, governance, and optimisation.
- Experience with AWS, cloud-native data technologies, and Snowflake or similar enterprise data platforms.
- Experience designing and maintaining reliable, scalable data processing solutions and delivering production-ready software in agile teams.
- Experience collaborating with data scientists, analysts, product owners, and business stakeholders.
- Either a relevant third-level qualification and at least three years of commercial software development experience, or current valid industry-recognised certifications and at least five years of commercial software development experience.
Additional desirable experience
- Experience with dbt, Databricks, Airflow, or similar technologies is welcomed but not required.
- Analytical SQL and large-scale dataset optimisation experience are desirable.
- Experience supporting machine learning, data science, predictive modelling, or data platform governance, compliance, and security is desirable.
What you’ll do
- Deliver scalable, high-quality, compliant datasets for insurance pricing and modelling.
- Build Python solutions for data ingestion, transformation, and delivery; develop and maintain data pipelines and products.
- Deliver secure, scalable AWS and Snowflake data solutions and collaborate with technical, product, and business stakeholders.
- Ensure quality, reliability, and compliance using engineering practices and automated testing.
- Contribute to platform architecture; improve CI/CD processes and engineering standards; mentor engineers.
- Evaluate emerging technologies and improve the data engineering ecosystem.
Development opportunities
- Develop deeper production-grade Python data engineering expertise and hands-on experience with AWS, Snowflake, and cloud-native architectures.
- Strengthen skills across data modelling, quality, governance, security, and optimisation.
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