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.
Skills Required
- 5+ years of professional software engineering experience, including hands-on experience building production data-intensive applications, services, or pipelines.
- Strong proficiency in Python or a comparable language such as Java, C#, or Ruby.
- Strong software engineering fundamentals, including design patterns, testing, and clean maintainable code.
- Advanced SQL and relational data modeling, including query optimization and performance tuning on large datasets.
- Experience with PostgreSQL, SQL Server, MySQL, or comparable relational databases.
- Exposure to analytical or columnar data stores.
- Experience designing and building REST APIs and backend services.
- Experience building ETL or ELT pipelines with orchestration, incremental processing, data validation, and error handling.
- Experience with cloud platforms, preferably AWS.
- Experience with Git-based workflows, CI/CD, and containerization with Docker.
- Working proficiency with AI coding tools such as Claude or GitHub Copilot, including reviewing and validating generated code.
- Clear communication, mentoring ability, and cross-functional collaboration skills.
- Experience with distributed data processing such as Spark or workflow orchestration tools such as Airflow.
- Experience with multi-tenant SaaS systems and data isolation.
- Experience building analytics, reporting, or benchmarking features in a transactional product.
- Background in enterprise B2B SaaS or legal technology.
What We Do
Onit is a global leader of enterprise software and artificial intelligence platforms and products for legal, compliance, sales, IT, HR and finance departments. Our software transforms best practices into smarter workflows, better processes and operational efficiencies. With a focus on enterprise legal management, matter management, legal spend management, contract lifecycle management and legal holds, we operate worldwide and help global companies and billion-dollar legal departments bridge the gap between systems of record and systems of engagement. Onit is the only company in our space with two platforms: Our leading no-code business process automation platform, Apptitude, and our business intelligence platform, Precedent. Apptitude allows customers to create, modify and deploy new software products and custom workflows. Onit’s legal AI platform, Precedent, enables our software products to read, write, and reason like a lawyer. Combined, the two platforms enable customers to digitally transform legal operations by automating processes, reducing costs and maximizing productivity with industry-leading cloud-based software.
