You're going for a Data Engineer role.
And we're rooting for you.
But does your experience match the job?
Here's what the role really asks for, and a clear way to see where you stand before you apply.
The core of the role
Four things a Data Engineer is really hired to do.
Most Data Engineer “skills” lists are a tool dump. These are grouped the way the work actually runs, from designing the data's shape to keeping the pipelines that feed everyone else reliable.
Design the data foundations
You decide how data is structured and stored so the people downstream can trust it and find it.
Move and transform data
You build the pipelines that pull data from where it lives, reshape it, and land it where it's needed.
Run the data platform
You keep the databases and query layers healthy, so analysis is repeatable instead of a nightly scramble.
Make data trustworthy at scale
You catch bad data before it reaches a dashboard, and you can prove where every number came from.
Skills grounded in the closest relevant ESCO and O*NET occupation data for data and database engineering, then translated into plain language.
See where you stand
You're aiming for a Data Engineer role. How close are you?
Drop your CV, add the job you're targeting, and get an honest match in about 30 seconds. Free, no account, and your CV carries over so you never upload it twice.
A solid partial match. Your SQL and pipeline experience lands well; the modelling and data-quality side is worth strengthening before you apply.
Straight answers
Data Engineer questions people usually ask.
What skills do you need to be a Data Engineer?
The backbone is four things: designing how data is modelled and stored, building pipelines that move and transform it, running the databases and warehouses it lives in, and keeping the whole thing trustworthy at scale. Most job ads rename these, but that's what they're testing for.
What's the difference between a Data Engineer and a Data Analyst?
Roughly: a Data Engineer builds and maintains the pipelines and stores that data lives in; a Data Analyst uses that data to answer business questions. The engineer keeps the plumbing reliable, the analyst draws the conclusions. Read the actual job description, because smaller teams often blur the two.
Do you need to know Python for a Data Engineer role?
Very often, yes, alongside strong SQL. Python is the common glue for pipelines and orchestration, though some shops lean on Scala, Java, or SQL-first tools. Put on your CV only what you actually use.
How do I show Data Engineer skills on my CV?
Lead with reliability and scale, not the stack. “Built pipelines” says little; “rebuilt the ingestion pipeline to cut nightly runtime from six hours to forty minutes” shows the skill working. That's exactly what our scan helps you pull out of your own history.
This application incorporates information from ESCO (European Skills, Competences, Qualifications and Occupations), © European Union, used under the ESCO terms of use.
This site incorporates information from O*NET Web Services by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). O*NET® is a trademark of USDOL/ETA.