Senior Software Engineer - Data

About Onit

We're redefining the future of legal operations through the power of AI. Our cutting-edge platform streamlines enterprise legal management, matter management, spend management and contract lifecycle processes, transforming manual workflows into intelligent, automated solutions.

We’re a team of innovators using AI at the core to help legal departments become faster, smarter, and more strategic. As we continue to grow and expand the capabilities of our new AI-centric platform, we’re looking for bold thinkers and builders who are excited to shape the next chapter of legal tech.

If you're energized by meaningful work, love solving complex problems, and want to help modernize how legal teams operate, we’d love to meet you.

Position Summary

The Senior Software Engineer - Data designs and builds the data-intensive services, pipelines, and APIs that power analytics and AI features across Onit's legal operations platform, spanning enterprise legal management, matter management, spend management, and contract lifecycle management. This engineering-focused role applies strong software engineering practices to data: clean, tested, production-grade code, well-designed data models, and reliable, performant systems. Working with architects, data scientists, product managers, and fellow engineers, the Senior Software Engineer - Data owns features end to end, sets the technical approach for their area, and mentors less experienced engineers.

Key Responsibilities

• Data Services & Pipelines: Design, build, and own production-grade data pipelines, services, and APIs that ingest, transform, and serve data from multiple source systems to product features.
• Data Modelling: Design relational and analytical data models and schemas that keep figures consistent and performant across product surfaces, in line with the architecture defined by the Data Architect.
• Performance & Scalability: Profile and optimise queries, services, and pipelines for performance, scalability, and cost on large datasets.
• Data Quality & Reliability: Build automated tests, data validation, monitoring, and alerting so data issues are caught early, and lead troubleshooting and root-cause analysis of production issues.
• Security & Multi-Tenancy: Implement multi-tenant data isolation, access controls, and privacy safeguards such as anonymisation and aggregation thresholds.
• Engineering Excellence: Set the technical approach for features in your area, lead design and code reviews, and contribute to engineering standards, CI/CD, and documentation.
• Mentoring & Collaboration: Mentor Software Engineers, and partner with product, design, data science, and QA to deliver features from concept to production.

Required Skills

• 5+ years of professional software engineering experience, including significant hands-on work building data-intensive applications, services, or pipelines in production.
• Strong proficiency in Python (or a comparable language such as Java, C#, or Ruby), with solid software engineering fundamentals: design patterns, testing, and clean, maintainable code.
• Advanced SQL and relational data modelling, including query optimisation and performance tuning on large datasets (e.g., PostgreSQL, SQL Server, or MySQL); exposure to analytical or columnar data stores.
• Experience designing and building REST APIs and backend services that expose data to product features.
• Experience building ETL/ELT pipelines, including orchestration, incremental processing, data validation, and error handling.
• Experience with cloud platforms (AWS preferred), Git-based workflows, CI/CD, and containerisation (Docker).
• Working proficiency with AI coding tools (e.g., Claude, GitHub Copilot) to accelerate development, debugging, and test writing, with the judgment to review and validate AI-generated code before it ships.
• Clear communication and the ability to mentor engineers, explain technical trade-offs, and collaborate across product and data teams.

Preferred Qualifications

• Experience with distributed data processing (e.g., Spark) or workflow orchestration tools (e.g., Airflow).
• Experience with multi-tenant SaaS systems and data isolation.
• Experience building analytics, reporting, or benchmarking features in an existing transactional product.
• Background in enterprise B2B SaaS or the legal technology domain.

Benefits & Perks That Support You

Onit offers a comprehensive total rewards package designed to support the whole employee at work and beyond:

Health Coverage: Employee and immediate family members.

Time Away: Flexible paid time off and 10 company paid holidays annually.

Family Support: Exceptional paid leave for birth parents, non-birth parents, and caregivers. Onit also offers surrogacy and adoption reimbursement.

Income Protection: 100% employer-paid life and disability insurance.

Additional Coverage Options: Voluntary benefits including hospital indemnity, critical illness, accident.

Tax-Advantaged Accounts: Flexi, NPS.

Community Engagement: One paid volunteer day each year to give back to the community.

Our Commitment to Applicants

We know that not everyone will check every box in a job description. At Onit, we value diversity, inclusion, and authenticity. If you’re excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to apply. You may be exactly who we’re looking for.

Onit Values

Customer First - Customer success is our success. We deliver value, listen, and act on customer needs.

Purposeful Innovation - Innovation fuels our growth. We harness creativity to solve problems and lead with the intentions and expertise.

Win as One - Teamwork is how we win. We are accountable, act with integrity, and communicate openly.

Intentional Growth - Our people are the difference. We create an environment with compelling work, impactful contributions, and career growth.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.