You’ll be joining Splio’s Ops team, reporting directly to the company’s leadership. The team’s mission is to deliver key decision-making insights and drive operational efficiency and performance. You’ll play a pivotal role in enhancing the automation, intelligence, and reliability of our data stack.
Your goal: Understand the company’s strategic challenges and unlock the power of data—quickly and sustainably—through automation and AI. Your work will support strategic decision-making and drive operational improvements across departments.
Data Reliability
Understand and model robust data flows
Maintain, secure, and improve the existing connector stack
Ensure the quality and consistency of our data foundation
Diagnose and fix errors in our information system’s data flows
Analytics & Automation
Build dashboards, reports, and tools to monitor Splio’s key KPIs
Automate internal processes to boost productivity across Revenue, Finance, Client, and Product teams
AI & Innovation
Integrate AI components into internal workflows
Proactively suggest innovative AI use cases across the company
Final-year student from a top engineering school (end-of-studies internship) mandatory
Strong data background: SQL, Python, APIs, data architecture
Comfortable with no-code tools (Make, Retool…)
Curious, rigorous, autonomous—and above all, smart
Strong interest in AI and emerging technologies
Fluent in English
HR Screening – 30 minutes
A first conversation with Gwendoline, HR Manager, to get to know you, understand your motivations, and answer any initial questions you may have.
Technical Interview – 1h30 (on-site)
A meeting with your future manager, including:
1 hour of discussion to dive into your experience, your approach to problem-solving, and your fit with the Manager
30-minute live technical test (or to be completed shortly after the meeting)
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