Applying for a Data Engineer role?

Let's get you past the first filter.

Is your CV speaking the ATS's language?

Here's what an ATS scans for in a Data Engineer CV, and how to use it without gaming the system.

Check your CV's match Free. No registration required.

Before you hit apply

What the ATS is actually scanning for.

An applicant tracking system can use your CV's content and structure to help match, filter, or surface candidates. For a Data Engineer role, these are the terms worth checking against the job description, drawn from the work itself and the language that commonly appears in postings.

Skills & responsibilities

Data pipelinesETLData modellingData warehousingSQLData qualityData migrationStreaming

Tools & platforms

SQLPythonApache SparkApache AirflowApache KafkadbtSnowflakeAWS

Drawn from the role's skills and the tools that commonly appear in postings.

The honest way to use them

Match the language. Don't fake it.

Keywords get you read. They don't get you hired. Here's how to use them so the ATS and the human behind it both come away convinced.

Use only what you can back up

A tool on your CV invites a question about it. List only the parts of the stack you'd be happy to be tested on.

Put them in context, not a list

Work the terms into real bullets about what you built and how it performed. A bare stack list is what a recruiter skims straight past.

Mirror the exact posting

Use the wording the specific ad uses, where it's true for you. “ETL” and “ELT”, or “data warehouse” and “lakehouse”, can be scored differently.

Keep the format clean

Odd columns, tables, and graphics can confuse older parsers. A plain structure reads cleanly to both the ATS and the human after it.

The ATS isn't judging your worth. It's a keyword-and-formatting filter. Match the role's real language, lead with reliability and scale, and never claim a tool you couldn't stand behind.

See your match

How many of these does your CV already have?

Drop your CV, add the job you're targeting, and see an honest, ATS-style match: which terms you've got and which are missing. Free, no account, and your CV carries straight over.

Illustrative example · not your result

65%

A decent keyword match. You're strong on pipeline and SQL terms; a couple of high-value ones are missing from your CV.

Data pipelines

SQL

Data modelling · missing

Data warehousing · missing

Straight answers

Data Engineer ATS questions people usually ask.

How do I get my Data Engineer CV past the ATS?

Mirror the language of the specific posting where it's genuinely true of you, keep the formatting simple, and lead each bullet with what you built and how it performed. There's no trick beyond honestly matching what the role asks for.

What keywords should a Data Engineer CV include?

Terms like data pipelines, ETL, data modelling, data warehousing, and SQL, plus tools such as Python, Spark, and Airflow where you've used them. Only the ones you can back up.

Which tools matter most on a Data Engineer CV?

SQL is non-negotiable, and Python is close behind. Beyond that, match the posting: a warehouse (Snowflake, BigQuery, Redshift), an orchestrator (Airflow, dbt), and a processing engine (Spark) cover most stacks. List what you've actually run.

Does the ATS reject Data Engineer CVs automatically?

Many hiring workflows use software to rank, filter, or surface candidates rather than making a simple yes/no call on a CV alone. A weak match can still make you harder to find, which is why clear, relevant wording matters.

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