Career Overlap Transition record
RecordMove

Database designer to artificial intelligence engineer

A database designer already meets 55% of what the artificial intelligence engineer role asks for. The move turns on 18 required skills not yet in the profile.

Fig. 1 · Skill transfer ESCO v1.2.1 · directional
From database designer
55 % overlap
Partial match
To artificial intelligence engineer
56 You already bring
18 Still to learn
89 Skills in the target role2
Learning distance Substantial retraining

59.2/ 100

1 How much of what an artificial intelligence engineer is expected to do is already part of a database designer’s work. Directional: the figure for the reverse move differs, because moving into a speciality is not the same problem as moving out of one. 2 Every skill the artificial intelligence engineer role is recorded as needing, required and optional together. What these numbers mean.

Why

Why this move works

An artificial intelligence engineer role treats 13 of its required skills as things a database designer already does. You would walk in with these on day one.

  • Python (computer programming)
  • analyse business requirements
  • apply ICT systems theory
  • business process modelling
  • computer programming
  • create data sets

What stands in the way is 18 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.

Table 2

Table 2 · What you already bring

Of the 56 skills that carry over, these are the ones fewest other occupations ask for. An artificial intelligence engineer role needs them, and most people applying for one will not have them already. This is the part of a database designer background worth leading with.

Skill the target role also needs Area
  • already held create data sets information skills
  • already held apply ICT systems theory working with computers
  • already held assess ICT knowledge management skills
  • already held database development tools information and communication technologies (icts)
  • already held design database scheme communication, collaboration and creativity
  • already held data science information and communication technologies (icts)

All 56 carried skills, including the 13 the artificial intelligence engineer role treats as required.

Table 3

Table 3 · What you may need to learn

The 33 missing skills fall into 9 areas of the ESCO skill hierarchy, numbered in the order worth working in. Areas carrying the most required skills come first, and inside each one the required skills sit above the optional ones. Nothing here is a verdict on you: it is a list of what this particular job asks for that your current one does not.

Skill to pick up Tier
01 information and communication technologies (icts) 8 required, 2 supplementary
  • still to learn data mining required
  • still to learn information architecture required
  • still to learn information extraction required
  • still to learn principles of artificial intelligence required
  • still to learn algorithms required
  • still to learn artificial neural networks required
  • still to learn computer simulation required
  • still to learn task algorithmisation required
  • optional, not held computer vision optional
  • optional, not held deep learning optional
02 working with computers 4 required, 5 supplementary
  • still to learn digital data processing required
  • still to learn creatively use digital technologies required
  • still to learn develop statistical software required
  • still to learn use data processing techniques required
  • optional, not held build recommender systems optional
  • optional, not held manage ICT data classification optional
  • optional, not held manage ICT semantic integration optional
  • optional, not held utilise machine learning optional
  • optional, not held perform dimensionality reduction optional
03 communication, collaboration and creativity 3 required, 2 supplementary
  • still to learn deliver visual presentation of data required
  • still to learn design process required
  • still to learn develop creative ideas required
  • optional, not held design application interfaces optional
  • optional, not held apply systemic design thinking optional
04 information skills 1 required, 1 supplementary
  • still to learn analyse big data required
  • optional, not held build predictive models optional
05 arts and humanities 1 required
  • still to learn visual presentation techniques required
06 social sciences, journalism and information 1 required
  • still to learn information categorisation required

3 further areas in the appendix

Table 4

Table 4 · Where to start

The 3 entries an artificial intelligence engineer role is least likely to hire without. The ordering is computed from the skill data, not from what pays.

Each entry opens a course search for that skill. Career Overlap earns nothing from these links.

Appendix

Appendix · The rest of the record

All 56 skills that carry over
Skill Type
  • already held Python (computer programming) knowledge
  • already held analyse business requirements skill
  • already held apply ICT systems theory skill
  • already held business process modelling knowledge
  • already held computer programming knowledge
  • already held create data sets skill
  • already held data models knowledge
  • already held data science knowledge
  • already held define technical requirements skill
  • already held information structure knowledge
  • already held resource description framework query language knowledge
  • already held systems development life-cycle knowledge
  • already held unstructured data knowledge
  • already held Agile project management knowledge
  • already held Assembly (computer programming) knowledge
  • already held C# knowledge
  • already held C++ knowledge
  • already held COBOL knowledge
  • already held CoffeeScript knowledge
  • already held Common Lisp knowledge
  • already held Erlang knowledge
  • already held Groovy knowledge
  • already held Haskell knowledge
  • already held ICT project management methodologies knowledge
  • already held Java (computer programming) knowledge
  • already held JavaScript knowledge
  • already held LINQ knowledge
  • already held Lisp knowledge
  • already held MATLAB knowledge
  • already held ML (computer programming) knowledge
  • already held Microsoft Visual C++ knowledge
  • already held N1QL knowledge
  • already held Objective-C knowledge
  • already held OpenEdge Advanced Business Language knowledge
  • already held PHP knowledge
  • already held Pascal (computer programming) knowledge
  • already held Perl knowledge
  • already held Process-based management knowledge
  • already held Prolog (computer programming) knowledge
  • already held R knowledge
  • already held Ruby (computer programming) knowledge
  • already held SAP R3 knowledge
  • already held SAS language knowledge
  • already held SPARQL knowledge
  • already held Scala knowledge
  • already held Scratch (computer programming) knowledge
  • already held Smalltalk (computer programming) knowledge
  • already held Swift (computer programming) knowledge
  • already held TypeScript knowledge
  • already held VBScript knowledge
  • already held Visual Basic knowledge
  • already held assess ICT knowledge skill
  • already held build business relationships skill
  • already held database development tools knowledge
  • already held design database scheme skill
  • already held lean project management knowledge
The 3 learning areas not shown above
Skill to pick up Tier
07 business, administration and law 2 supplementary
  • optional, not held business intelligence optional
  • optional, not held operational research optional
08 management skills 2 supplementary
  • optional, not held identify processes for re-engineering optional
  • optional, not held manage business knowledge optional
09 natural sciences, mathematics and statistics 1 supplementary
  • optional, not held business analytics optional
15 supplementary skills, helpful but not required
Skill to pick up Tier
  • optional, not held build recommender systems optional
  • optional, not held build predictive models optional
  • optional, not held business analytics optional
  • optional, not held design application interfaces optional
  • optional, not held manage ICT data classification optional
  • optional, not held manage ICT semantic integration optional
  • optional, not held utilise machine learning optional
  • optional, not held apply systemic design thinking optional
  • optional, not held business intelligence optional
  • optional, not held computer vision optional
  • optional, not held deep learning optional
  • optional, not held identify processes for re-engineering optional
  • optional, not held manage business knowledge optional
  • optional, not held operational research optional
  • optional, not held perform dimensionality reduction optional
47 held skills the artificial intelligence engineer role does not ask for
Skill Type
  • not needed by the target role ABAP knowledge
  • not needed by the target role AJAX knowledge
  • not needed by the target role APL knowledge
  • not needed by the target role ASP.NET knowledge
  • not needed by the target role CA Datacom/DB knowledge
  • not needed by the target role DB2 knowledge
  • not needed by the target role Filemaker (database management systems) knowledge
  • not needed by the target role IBM Informix knowledge
  • not needed by the target role ICT security legislation knowledge
  • not needed by the target role LDAP knowledge
  • not needed by the target role MDX knowledge
  • not needed by the target role MarkLogic knowledge
  • not needed by the target role Microsoft Access knowledge
  • not needed by the target role MySQL knowledge
  • not needed by the target role ObjectStore knowledge
  • not needed by the target role OpenEdge Database knowledge
  • not needed by the target role Oracle Relational Database knowledge
  • not needed by the target role Oracle WebLogic knowledge
  • not needed by the target role PostgreSQL knowledge
  • not needed by the target role SQL Server knowledge
  • not needed by the target role Teradata Database knowledge
  • not needed by the target role TripleStore knowledge
  • not needed by the target role XQuery knowledge
  • not needed by the target role apply technical communication skills skill
  • not needed by the target role create database diagrams skill
  • not needed by the target role create software design skill
  • not needed by the target role data engineering knowledge
  • not needed by the target role database knowledge
  • not needed by the target role database management systems knowledge
  • not needed by the target role define database physical structure skill
  • not needed by the target role design database backup specifications skill
  • not needed by the target role design database in the cloud skill
  • not needed by the target role develop automated migration methods skill
  • not needed by the target role manage cloud data and storage skill
  • not needed by the target role manage database skill
  • not needed by the target role manage standards for data exchange skill
  • not needed by the target role migrate existing data skill
  • not needed by the target role operate relational database management system skill
  • not needed by the target role perform data analysis skill
  • not needed by the target role perform resource planning skill

7 further entries not listed here

15 gaps that are knowledge rather than practice

Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.

Skill to pick up Tier
  • still to learn data mining required
  • still to learn information architecture required
  • still to learn information categorisation required
  • still to learn information extraction required
  • still to learn principles of artificial intelligence required
  • still to learn visual presentation techniques required
  • still to learn algorithms required
  • still to learn artificial neural networks required
  • still to learn computer simulation required
  • still to learn task algorithmisation required
  • optional, not held business analytics optional
  • optional, not held business intelligence optional
  • optional, not held computer vision optional
  • optional, not held deep learning optional
  • optional, not held operational research optional
Index

Other moves recorded from database designer

Full index of moves from database designer

FAQ

Common questions about this move

Can a database designer become an artificial intelligence engineer?

Yes, and it is a substantial move. A database designer already covers 55% of what an artificial intelligence engineer is expected to do: 56 skills carry over, 13 of which the artificial intelligence engineer role treats as required.

What skills does a database designer need to become an artificial intelligence engineer?

18 required skills are missing, plus 15 optional ones. They fall into 9 areas of the ESCO skill hierarchy, led by information and communication technologies (icts). The single most important is data mining.

How hard is the move from database designer to artificial intelligence engineer?

Its learning distance is 59.2 out of 100, which is the substantial band. That accounts for both how much is missing and how specialised those skills are.

Note

How this record was compiled

Both occupations are taken from ESCO, which lists the skills and knowledge each occupation is expected to have and marks every one required or optional. Nothing here is a prediction about hiring, and nothing here knows that a particular employer wants a particular certificate. Treat Table 3 as a starting point for your own research rather than a syllabus. The full method states what these figures can and cannot tell you.