Data Quality & Governance Engineer
Tasks
- Assign ownership stewardship and criticality metadata
- Contribute to governance as code CI CD testing and observability
- Define and monitor data SLIs and SLOs
- Drive root cause analysis and fixes at source
- Embed data controls in pipelines
- Evaluate and introduce data governance tooling
- Implement automated data quality checks
- Implement classification retention and access control
- Implement data lineage from source to products
- Integrate governance with AI and model lifecycle tooling
- Maintain audit trails and evidence
- Maintain enterprise data catalogue and glossary
- Provide governance and quality code guidance and reviews
- Set up data observability and alerts
- Trace training data features and outputs lineage
Perks/Benefits
- Employer pension contribution
- Gym discounts
- Health insurance
- Hybrid working
- Income protection insurance
- Life assurance
- Paid time off
- Retail discounts
- Team socials
Skills/Tech-stack
AWS | AWS CodeBuild | AWS CodePipeline | AWS Glue | AWS Lambda | Access Control | Amazon Redshift | Amazon S3 | Audit trails | Bias monitoring | CI/CD | Completeness Monitoring | DBT | Data Catalog | Data Classification | Data Contracts | Data Drift | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Retention | Data SLIs | Data SLOs | Dimensional Modeling | Feature Store | Freshness Monitoring | GDPR | GitHub Actions | IAM | Infrastructure as Code | MLflow | Machine Learning | Metadata Management | Model Monitoring | PII | Python | Referential Integrity | SQL | Schema Validation | Snowflake Schema | Star Schema | Stewardship | Terraform | “as-code”
Education
N/A
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