Lead institutional clients through end-to-end technical integrations, from kickoff and FIX/API configuration to testing and production launch, while resolving connectivity issues and coordinating across product and engineering teams.
Professional Services Engineer
📜 Description
- Architect and implement production-grade integrations and distributed data systems for enterprise customers.
- Modernize legacy ETL/ELT workflows into autonomous data pipelines across cloud infrastructure and Kubernetes.
- Integrate AI APIs and use AI code-generation tools to accelerate delivery and enable Maia's agentic capabilities.
- Own technical solutions from kickoff through production within an 8–12 week Accelerator window.
- Balance hands-on technical problem-solving with strategic conversations with customer executives.
🛠️ Requirements
- 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.
✨ Benefits
- Company Equity
- 30 days holiday + bank holidays
- 5 days paid volunteering leave
- Access to mental health support
- Your Safety
- Want to know more?
- Don't tick every box? Apply anyway. We hire for potential, not just experience. A member of our Talent Acquisition
Full job description
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.
What you will be doing
What we are looking for
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