专业服务工程师
Professional Services Engineer
准备好塑造数据的未来了吗？
Matillion 是 Maia 的开发公司，Maia 是一款 AI 数据自动化平台。
在人工智能经济中，对数据的需求正在激增。人工数据工程无法跟上步伐。Maia 通过结合 15 年的数据专业知识与代理型 AI，消除了拖慢数据团队的重复性工作。思科（Cisco）、DocuSign 和 Slack 等组织已经使用它来更快地实现实际的业务影响。
我们从曼彻斯特起步，现在已走向全球——在英国、美国和印度都有团队。
我们是一群充满激情、好奇、精力充沛的人，我们行动迅速、思维宏大，并对自己有高标准。我们希望在宇宙中留下比我们自身更大的印记。我们正在寻找愿意加入我们的人。
关于职位
专业服务工程师是客户嵌入式服务交付人员，负责 Maia Foundation 平台的部署、实施和优化，推动采用率，解决复杂的技术挑战，并启用 Maia 代理型 AI 功能。PSE 通过设计生产级集成和分布式数据系统，领导 Maia Foundation 平台的技术部署和实施，将传统的 ETL 流程转化为现代的自主数据流水线。
该职位位于澳大利亚悉尼。虽然该职位可以远程办公，但我们希望找到一位位于本地区的候选人，以支持我们的客户并建立我们在该地区日益重要的增长市场中的影响力。
在 Matillion，我们致力于根据职位、职系、职级和国家提供符合市场标准的薪酬。该职位的预估年薪范围为 112,000 至 168,000 美元。最终薪资将根据您在招聘过程中展示的相关技能、经验和资格确定。
更多关于 Matillion 的信息
我们推行一种灵活的工作文化，促进工作与生活的平衡，福利包括：
- 公司股权
- 30 天年假 + 银行假日
- 5 天带薪志愿休假
- 心理健康支持的访问权限
您的安全
Matillion 的招聘人员只会通过 @matillion.com 邮箱联系您。我们偶尔会与值得信赖的招聘合作伙伴合作；他们都会明确告知您他们是代表我们工作的。在整个招聘过程中，我们绝不会要求您支付任何费用、押金或银行信息。如果感觉有什么不对劲，请相信您的直觉。不要点击。
查看英文原文
Are you ready to shape the future of data?
Matillion is the company behind Maia, the AI Data Automation platform.
In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster.
We started in Manchester and now we’re global - with teams across the UK, US and India.
We are driven, curious, energetic people who move fast, think big and hold ourselves to a high standard. We’re here to make a dent in the universe bigger than ourselves. And we’re looking for people who want to be part of it.
About the role
The Professional Services Engineer is a customer-embedded services delivery professional responsible for the deployment, implementation, and optimization of Maia Foundation platform, driving adoption, solving complex technical challenges, and enablement of Maia agentic AI capabilities. The PSE leads the technical deployment and implementation of the Maia Foundation platform by architecting production-grade integrations and distributed data systems that transform legacy ETL workflows into modern, autonomous data pipelines.
This role is based in Sydney, Australia. While the position is remote, we're looking for someone located in-region to support our customers and build our presence as the region becomes an increasingly important growth market for Matillion.
At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level and country. This role’s estimated annual salaried pay range for this position is $112,000 - $168,000. The final salary will be based on your relevant skills, experience, and qualifications demonstrated in the hiring process.
More about Matillion
We operate a flexible working culture that promotes work-life balance, with benefits including:
- Company Equity
- 30 days holiday + bank holidays
- 5 days paid volunteering leave
- Access to mental health support
Your Safety
Matillion recruiters will only contact you from @matillion.com email addresses. We occasionally work with trusted recruiting partners; they will always tell you they are working on our behalf. We will never ask for money, fees, or bank details at any point in the hiring process. If something feels off, trust that instinct. Don't click any links. Go straight to matillion.com/careers to verify open roles or reach us at talent@matillion.com.
Want to know more?
Don't tick every box? Apply anyway. We hire for potential, not just experience. A member of our Talent Acquisition team will be in touch.
Cannot find anything suitable role right now? We still want to hear from you. Drop us a line at talent@matillion.com.
Find out more about life on #TeamGreen here.
Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.
What you will be doing
- Own the deployment: Architect and implement production-grade integrations and distributed data systems for enterprise customers, using Python, SQL, and modern API development.
- Modernise legacy data: Transform legacy ETL/ELT workflows into modern, autonomous data pipelines, working across cloud infrastructure (AWS/Azure/GCP) and Kubernetes.
- Build with AI, not just for it: Integrate AI APIs (OpenAI, Anthropic) and use AI code generation tools to accelerate delivery and enable Maia's agentic capabilities.
- Deliver at pace: Take technical solutions from kickoff to production within an 8-12 week Accelerator window, owning outcomes even when the path isn't straightforward.
- Move between altitudes: Alternate between deep technical problem-solving and strategic alignment conversations with customer executives.
What we are looking for
- Demonstrable experience building production-grade software, with strong programming ability in Python, SQL, and API development or equivalent.
- Data engineering background: Hands-on experience with ETL/ELT tools, gained as a Data Engineer, DBA, or similar.
- Data architecture depth: Strong grasp of data architecture and data structures, with the ability to assess and redesign customer data environments as part of a migration.
- Comfortable wearing multiple hats: Ready to flex across technical delivery, customer communication, and (initially, in newer markets like Sydney) commercial support until dedicated resources are in place.
- Delivery under pressure: Track record of completing migration and deployment outcomes to a defined timeline, working directly with customer stakeholders.