Data entry clerk to data engineer
A data entry clerk already meets 28% of what the data engineer role asks for. The move turns on 16 required skills not yet in the profile.
72.5/ 100
1 How much of what a data engineer is expected to do is already part of a data entry clerk’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 data engineer role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
A data engineer role treats 7 of its required skills as things a data entry clerk already does. You would walk in with these on day one.
- data models
- data storage
- establish data processes
- implement data warehousing techniques
- manage data
- process data
What stands in the way is 16 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.
Table 2 · What you already bring
Of the 7 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 entry clerk background worth leading with.
- already held implement data warehousing techniques working with computers
- already held establish data processes working with computers
- already held data models information and communication technologies (icts)
- already held use databases working with computers
- already held data storage information and communication technologies (icts)
- already held manage data information skills
All 7 carried skills, including the 7 the data engineer role treats as required.
Table 3 · What you may need to learn
The 21 missing skills fall into 5 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.
- still to learn data warehouse required
- still to learn cloud technologies required
- still to learn database management systems required
- still to learn unstructured data required
- still to learn computer science required
- still to learn data analytics required
- optional, not held SAS Data Management optional
- optional, not held Teradata Database optional
- still to learn develop data processing applications required
- still to learn digital data processing required
- still to learn manage quantitative data required
- still to learn perform dimensionality reduction required
- still to learn store digital data and systems required
- still to learn use data processing techniques required
- still to learn create data sets required
- still to learn manage research data required
- optional, not held analyse pipeline database information optional
- optional, not held create data models optional
- still to learn design database in the cloud required
- still to learn manage ICT data architecture required
- optional, not held statistics optional
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.
- 01 data warehouse study this
- 02 develop data processing applications practise this
- 03 cloud technologies study this
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 7 skills that carry over
- already held data models knowledge
- already held data storage knowledge
- already held establish data processes skill
- already held implement data warehousing techniques skill
- already held manage data skill
- already held process data skill
- already held use databases skill
5 supplementary skills, helpful but not required
- optional, not held SAS Data Management optional
- optional, not held Teradata Database optional
- optional, not held analyse pipeline database information optional
- optional, not held create data models optional
- optional, not held statistics optional
27 held skills the data engineer role does not ask for
- not needed by the target role ABBYY FineReader 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 OmniPage knowledge
- not needed by the target role SPARQL knowledge
- not needed by the target role XQuery knowledge
- not needed by the target role apply information security policies skill
- not needed by the target role apply organisational techniques skill
- not needed by the target role apply statistical analysis techniques skill
- not needed by the target role database knowledge
- not needed by the target role documentation types knowledge
- not needed by the target role implement data quality processes skill
- not needed by the target role information confidentiality knowledge
- not needed by the target role maintain data entry requirements skill
- not needed by the target role manage ICT data classification skill
- not needed by the target role manage data collection systems skill
- not needed by the target role manage digital documents skill
- not needed by the target role normalise data skill
- not needed by the target role optical character recognition software knowledge
- not needed by the target role perform data cleansing skill
- not needed by the target role query languages knowledge
- not needed by the target role resource description framework query language knowledge
- not needed by the target role use an application-specific interface skill
- not needed by the target role use spreadsheets software skill
- not needed by the target role use word processing software skill
9 gaps that are knowledge rather than practice
Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.
- still to learn data warehouse required
- still to learn cloud technologies required
- still to learn database management systems required
- still to learn unstructured data required
- still to learn computer science required
- still to learn data analytics required
- optional, not held SAS Data Management optional
- optional, not held Teradata Database optional
- optional, not held statistics optional
Common questions about this move
Can a data entry clerk become a data engineer?
Yes, and it is a substantial move. A data entry clerk already covers 28% of what a data engineer is expected to do: 7 skills carry over, 7 of which the data engineer role treats as required.
What skills does a data entry clerk need to become a data engineer?
16 required skills are missing, plus 5 optional ones. They fall into 5 areas of the ESCO skill hierarchy, led by information and communication technologies (icts). The single most important is data warehouse.
How hard is the move from data entry clerk to data engineer?
Its learning distance is 72.5 out of 100, which is the substantial band. That accounts for both how much is missing and how specialised those skills are.
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.