Engineers data quality checks, tests and observability across the data platform.

Entry

Intermediate

Coding

High

Key skills

Data quality frameworksTesting & contractsSQL & dbt testsObservability tools

Career overview

The Data Quality Engineer designs and implements data quality checks, tests, contracts and observability across pipelines and warehouses. They catch bad data before it reaches dashboards and models. The role leads to Data Architect, Data Governance Analyst or Senior Data Engineer positions.

Main responsibilities

  • Guarantee data quality, freshness and lineage
  • Measure and improve data quality
  • Build reliable data ingestion pipelines
  • Build and maintain CI/CD pipelines
  • Monitor platform health, alerts and dashboards
  • Keep technical documentation up to date
  • Prepare and execute change requests in production
  • Analyse application logs to identify root causes
  • Mentor junior team members and review their work
  • Automate recurring tasks with scripts

Technical skills

Data quality frameworks88%
Testing & contracts85%
SQL & dbt tests85%
Python78%
Observability tools80%
Lineage & catalog75%
Metrics & alerting78%
Root cause analysis75%

Technologies

Great Expectationsdbt testsSodaMonte CarloBigeyePythonSQLdbtAirflowSnowflakeBigQueryPostgreSQLOpenMetadataGitDockerGrafanaPrometheusJupyterPrefect

Education level

Education requirements vary depending on the company, country and experience. Professional experience, certifications and technical skills can sometimes compensate for formal education.

High School / Bac

Less common

Bac+2 (2-year degree)

Less common

Bac+3 (Bachelor)

Less common

Bac+5 (Master / Engineering)

Common entry point

Experience & coding level

Experience level

Entry LevelJuniorIntermediateSeniorExpert

Coding level

No codingLowMediumHighVery High
Technical difficulty75%

Useful certifications

Certifications are never mandatory. They are one way among others to prove a skill.

  • dbt Analytics Engineering Certification
  • Google Professional Data Engineer
  • DAMA CDMP Associate

Where can this career take you?

Multiple paths are possible. Click a role to open its profile.

Where can you go next?

Realistic next career moves, with compatibility and a transition roadmap for each.

Overlap: 49% · Difficulty: Easy

Skills to learn: SQL, Orchestration (Airflow), Spark / distributed processing

View roadmap

Overlap: 51% · Difficulty: Medium

Skills to learn: Policy & compliance (GDPR), Stakeholder management, SQL basics

View roadmap

Where can you go from here?

A typical progression built from real career relationships. Click any role to open its profile.

Soft skills
  • Rigour and attention to detail
  • Analytical thinking
  • Problem solving
  • Attention to detail
  • Clear communication
  • Sense of ownership

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