Description
We're an early-stage B2B SaaS startup with a proven platform, big-name clients, and millions in revenue. We're not chasing unicorn status; we're building a sustainable, long-lasting business (think Bowhead Whale!). Mutinex helps marketers understand their ROI and make smarter decisions with their budget.
We're a hybrid team based in Sydney, Melbourne, and New York. We value communication, open-mindedness, and a culture of feedback. All staff receive equity (ESOP), and we offer increasing annual leave based on tenure.
The role
As a Data Engineer at Mutinex, you'll be a key member of our growing data engineering team, working on the development and expansion of DataOS, our automated data ingestion platform for Marketing Mix Modelling (MMM). You'll have the opportunity to contribute to the technical direction of this critical product, ensuring scalability, and maximizing performance. We're pushing the boundaries of data quality by pioneering AI-driven automated QA processes, and you'll be a crucial part of this exciting journey.
This role is perfect for a skilled engineer who is passionate about applying software engineering rigor to data challenges and is eager to contribute to a high-impact domain within a fast-growing startup.
Role Responsibilities:
Role Responsibilities:
- Data Pipeline Development: Design, build, and maintain robust data ingestion pipelines for DataOS, ensuring efficient and reliable data extraction, transformation, and loading processes.
- Automated Data Ingestion: Develop and maintain integrations with various external APIs and data providers through platforms like Fivetran or custom solutions, to automate data collection for MMM.
- AI-powered Data Quality Assurance: Contribute to the development and implementation of cutting-edge, AI-driven automated data quality assurance processes for DataOS, ensuring the accuracy, completeness, and reliability of our data.
- Performance Optimization: Analyze and optimize DataOS components for performance and efficiency, contributing to low latency and high throughput.
- Collaboration: Work effectively within a cross-functional team, collaborating with product managers, data scientists, and other engineers to deliver impactful solutions.
Mutinex
Analytics
Artificial Intelligence (AI)
Information Technology
Machine Learning
Market Research
Marketing
Predictive Analytics
Software
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