Data Engineers often can't find an exact NOC match, since the classification system lists related titles like Data Scientist or Data Analyst but not 'Data Engineer' specifically — leading to uncertainty about which NOC to declare.
What group members advised:- The Data Scientist NOC is a commonly used fit for Data Engineer roles. One member mentioned a friend working as an MLOps engineer successfully used this NOC and received PR, suggesting the classification is broad enough to cover adjacent technical roles.
- Match your actual responsibilities to the NOC description — don't rely on your job title. The key advice from multiple members was to compare your real day-to-day duties against the lead statement and main duties listed for each candidate NOC, and pick whichever one your responsibilities most closely mirror, regardless of what your official title says.
The underlying principle: NOC selection is duty-based, not title-based, so read the official NOC descriptions carefully and choose based on overlap with your actual work.