The pathway
How you actually get there, here
How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.
- 1
From iPaaS Engineer (L2)
2-3 years at the Mid-LevelSkills to master
- Moving from independently executing tasks to designing complex solutions, leading workstreams, and providing technical guidance to peers. You'll need to master architectural patterns and advanced troubleshooting.
You're ready to move on when
- Consistently delivering complex integrations with minimal supervision.
- Proactively identifying and proposing solutions to architectural challenges.
- Being the go-to person for specific integration patterns or platform features.
- Demonstrating strong communication with business stakeholders and other technical teams.
- 2
From Senior Software Engineer (Backend/API focus)
5-7 years in backend development, with 2-3 years focused on APIsSkills to master
- Transitioning from building individual services to connecting disparate systems. This means learning iPaaS platforms, understanding data transformation at scale, and dealing with external system constraints (rate limits, vendor APIs).
You're ready to move on when
- Deep expertise in building robust, scalable APIs and microservices.
- Strong understanding of distributed systems and message queues.
- A genuine interest in solving data flow and system interoperability challenges.
- Experience working with external APIs and handling their quirks.
- 3
From Data Engineer / ETL Developer
5-7 years in data engineering, with 2-3 years focused on real-time ETLSkills to master
- Shifting from batch data movement to real-time, event-driven integrations. This involves mastering API design, understanding transactional integrity across systems, and working with iPaaS platforms.
You're ready to move on when
- Strong command of data transformation, data quality, and schema management.
- Experience with real-time data streaming technologies (e.g., Kafka).
- An eagerness to learn API-first integration strategies and iPaaS tools.
- A methodical approach to data problem-solving.