Career Overlap Transition record Edition 1 · ESCO v1.2.1
Table 1Transition record

data analysttodata engineer

A data analyst already meets 47% of what the data engineer role asks for. The move turns on 12 required skills not yet in the profile.

From data analyst
47%
Overlap1
To data engineer
13 Skills carried over
12 Required, not held
57 Difficulty2
adjacent 0–30
moderate 30–55
substantial 55–75
career change 75–100
this move, 57

This move: 57 of 100 · substantial

1 Share of the data engineer role’s weighted skill requirement already met by the data analyst profile. Required skills count in full, supplementary skills at 0.35. Directional: the figure for the reverse move differs. 2 Combines what is missing with how specialised it is, so a gap of general skills scores easier than the same number of narrow ones.

Table 2

Table 2 · What you already bring

Of the 13 skills that carry over, these are the ones fewest other occupations ask for. A data engineer role needs them, and most people applying for one will not have them already. This is the part of a data analyst background worth leading with.

Skill the target role also needs Area
  • already held store digital data and systems working with computers
  • already held establish data processes working with computers
  • already held create data models information skills
  • already held use data processing techniques working with computers
  • already held manage quantitative data working with computers
  • already held data models information and communication technologies (icts)

All 13 carried skills, including the 11 the data engineer role treats as required.

Table 3

Table 3 · What you would need to learn

The 15 missing skills fall into 4 areas of the ESCO skill hierarchy, numbered below in the order worth working in: the areas carrying the most required skills come first, and inside each one the required skills sit above the supplementary ones.

Skill to acquire Tier
01 information and communication technologies (icts) 4 required, 2 supplementary
  • required, not held data warehouse required
  • required, not held database management systems required
  • required, not held computer science required
  • required, not held data analytics required
  • optional, not held SAS Data Management optional
  • optional, not held Teradata Database optional
02 information skills 3 required, 1 supplementary
  • required, not held create data sets required
  • required, not held manage research data required
  • required, not held process data required
  • optional, not held analyse pipeline database information optional
03 working with computers 3 required
  • required, not held develop data processing applications required
  • required, not held implement data warehousing techniques required
  • required, not held perform dimensionality reduction required
04 communication, collaboration and creativity 2 required
  • required, not held design database in the cloud required
  • required, not held manage ICT data architecture required
Table 4

Table 4 · Where to start

The 3 entries a data 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 13 skills that carry over
Skill Type
  • already held cloud technologies knowledge
  • already held data models knowledge
  • already held data storage knowledge
  • already held digital data processing skill
  • already held establish data processes skill
  • already held manage data skill
  • already held manage quantitative data skill
  • already held store digital data and systems skill
  • already held unstructured data knowledge
  • already held use data processing techniques skill
  • already held use databases skill
  • already held create data models skill
  • already held statistics knowledge
3 supplementary skills, helpful but not required
Skill to acquire Tier
  • optional, not held SAS Data Management optional
  • optional, not held Teradata Database optional
  • optional, not held analyse pipeline database information optional
54 held skills the data engineer role does not ask for
Skill Type
  • not needed by the target role Hadoop knowledge
  • not needed by the target role LDAP knowledge
  • not needed by the target role LINQ knowledge
  • not needed by the target role MDX knowledge
  • not needed by the target role N1QL knowledge
  • not needed by the target role SPARQL knowledge
  • not needed by the target role XQuery knowledge
  • not needed by the target role analyse big data skill
  • not needed by the target role apply statistical analysis techniques skill
  • not needed by the target role business analytics knowledge
  • not needed by the target role business intelligence knowledge
  • not needed by the target role collect ICT data skill
  • not needed by the target role data engineering knowledge
  • not needed by the target role data ethics knowledge
  • not needed by the target role data mining knowledge
  • not needed by the target role data quality assessment knowledge
  • not needed by the target role data science knowledge
  • not needed by the target role data visualisation software knowledge
  • not needed by the target role database knowledge
  • not needed by the target role define data quality criteria skill
  • not needed by the target role deliver visual presentation of data skill
  • not needed by the target role documentation types knowledge
  • not needed by the target role execute analytical mathematical calculations skill
  • not needed by the target role game theory knowledge
  • not needed by the target role gather data for forensic purposes skill
  • not needed by the target role handle data samples skill
  • not needed by the target role healthcare analytics knowledge
  • not needed by the target role image recognition knowledge
  • not needed by the target role implement data quality processes skill
  • not needed by the target role information architecture knowledge
  • not needed by the target role information categorisation knowledge
  • not needed by the target role information confidentiality knowledge
  • not needed by the target role information extraction knowledge
  • not needed by the target role information structure knowledge
  • not needed by the target role integrate ICT data skill
  • not needed by the target role interpret current data skill
  • not needed by the target role make data-driven decisions skill
  • not needed by the target role manage cloud data and storage skill
  • not needed by the target role manage data collection systems skill
  • not needed by the target role marketing analytics knowledge

14 further entries not listed here

6 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 acquire Tier
  • required, not held data warehouse required
  • required, not held database management systems required
  • required, not held computer science required
  • required, not held data analytics required
  • optional, not held SAS Data Management optional
  • optional, not held Teradata Database optional
Index

Other moves recorded from data analyst

Full index of moves from data analyst

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.