**Why Join Evotix?** At **Evotix**, we’re transforming the way businesses approach health, safety, and wellbeing. Our team thrives on bold ideas, celebrates diversity, and embraces the power of collaboration. Here’s why you’ll love working with us: * **Competitive Compensation:** Enjoy a competitive base salary and company\-based performance bonus. * **Time to Recharge:** Unlimited Annual Leave because we trust you to balance your work and wellbeing. * **Support for You:** Access to our Employee Assistance Program, including mental health, legal, and financial guidance. * **Growth Opportunities:** Educational benefits to help you keep learning and growing. * **Team Culture:** Regular team events, an inclusive environment, and a shared commitment to making an impact. **Ready to Make a Difference?** If you’re a bold, results\-driven leader who thrives on challenges, loves scaling success, and is passionate about making a difference—we want to hear from you! *Thank you for your interest. Please note, we are not seeking support from external recruitment agencies at this time. Direct applications from candidates are warmly welcomed.* **Overview** **Build intelligent finance systems. Automate insight. Power smarter decisions.** We’re looking for a hands\-on Data Engineer / Financial Technologist to work at the intersection of Finance, BI, and Engineering. You’ll build and maintain data pipelines for SaaS metrics, automate core finance processes using Python, APIs, and AI\-powered tools, and own our **Planful** platform to ensure reliable forecasting, budgeting, and reporting. If you’re comfortable moving between finance data and code, enjoy improving systems through automation, and want to make a measurable impact in a fast\-growing SaaS business, this role gives you the ownership and space to do exactly that. **What You'll Do** * Take ownership of Planful post\-implementation, ensuring the system is fully functional, stable, and aligned with business needs. * Work with FP\&A to optimise Planful models, dimensions, and reporting templates, improving usability and adoption across Finance. * Design, build, and maintain ETL/ELT pipelines feeding the central data warehouse. * Integrate data from ERP (Xero/NetSuite/Intacct), CRM (Salesforce/HubSpot), billing, FP\&A tools (Planful) and banking platforms. * Develop and maintain Planful reports and dashboards used for monthly performance reviews and Board reporting. * Automate repetitive Finance processes: reconciliations, journal postings, ARR roll\-forward checks, variance reporting. * Use APIs, Python scripts, and AI agents to reduce manual work across AP, AR, and FP\&A. * Partner with Finance and FP\&A to improve close speed and forecast accuracy through automation. * Ensure SaaS metrics (ARR, NRR, CAC payback, churn) are automatically reconciled between source systems and dashboards. * Troubleshoot Planful data or workflow issues, liaising with internal teams and Planful support as needed. * Develop scripts/AI workflows for automated management reports and Board packs. **What You Bring** **Must\-Haves** * 4\+ years’ experience as a Data Engineer, Financial Systems Analyst, or Finance Technologist (preferably in SaaS or subscription businesses). * Hands\-on experience with Planful, including building or maintaining models, reports, or integrations. * Strong Python programming skills (pandas, NumPy, automation libraries). * Experience with ETL/ELT tools (Fivetran, dbt, Airflow) and cloud data warehouses. * Familiarity with finance systems: ERP (NetSuite/Intacct), CRM (Salesforce/HubSpot), FP\&A platforms (Planful). * Exposure to AI\-powered tools and agents (LangChain, OpenAI API, or equivalent). * Track record of automating manual finance tasks (e.g., reconciliations, report generation, variance analysis). * Strong knowledge of SaaS finance and metrics (ARR, NRR, CAC, payback, LTV). * Strong problem\-solving skills and ability to work in a lean, fast\-paced environment. Hands\-on and solutions oriented. * Basic knowledge of accounting principles to understand Finance workflows. **Nice\-to\-Haves** * Prior experience in private equity\-backed SaaS companies. * Experience driving post\-implementation optimization or user adoption of FP\&A systems * Knowledge of robotic process automation (RPA) tools (UiPath, Power Automate). * Experience deploying machine learning or anomaly detection for fraud/variance detection in financial data.