Data Quality Engineer
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An exciting opportunity is available for an experienced Data Quality Engineer to join a large enterprise organisation on an initial six-month fixed-term contract, with the potential to transition into a permanent role. Working across a complex data ecosystem, you will help improve the quality, reliability and governance of enterprise data. This role combines hands-on data quality engineering with stakeholder engagement, allowing you to influence delivery outcomes and build stronger data practices across the organisation.
Data Quality Engineer What you'll be doing
Develop and maintain data quality checks, validation rules and monitoring processes
Use SQL, Python and dbt for data profiling, analysis and automation
Monitor ETL/ELT pipelines and identify data quality issues
Investigate incidents, complete root-cause analysis and support problem resolution
Establish and track data quality KPIs, controls and reporting
Support data lineage, metadata management and governance activities
Provide operational and application support across enterprise data platforms
Work closely with business, engineering, governance and delivery teams
Contribute to Agile delivery using Jira and Confluence
What you'll bring
Strong experience in data quality management and data governance
Hands-on experience with Snowflake, dbt and AWS
Strong SQL skills and practical Python experience
Experience supporting ETL/ELT processes and enterprise data pipelines
Knowledge of data lineage and metadata management
Experience with data operations, incident management and application support
Exposure to Databricks would be advantageous
Strong analytical and problem-solving capabilities
Confident stakeholder management skills across business and technical teams
Experience working in an Agile delivery environment
This is a great opportunity to join a collaborative enterprise data team, enjoy mostly remote working arrangements and potentially move into a permanent position.
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