Lead QA Data Engineer
<p><b>Salary: £65,000 - 65,000 per year</b></p>
<b>Requirements:</b>
<ul><li>Strong experience in data engineering or QA data engineering within modern data platforms.</li><li>Proven expertise in automated data testing and validation (e.g. expectations-based frameworks).</li><li>Advanced skills in Python and SQL, with a solid understanding of ETL/ELT and data modelling.</li><li>Experience working with cloud data platforms (e.g. Databricks, Snowflake, BigQuery).</li><li>Deep understanding of data quality, governance, lineage, and observability concepts.</li><li>Confidence influencing technical and non-technical stakeholders at senior levels.</li><li>Experience leading, mentoring, or setting standards for other engineers.</li></ul>
<b>Responsibilities:</b>
<ul><li>Own and lead the end-to-end data quality and testing strategy across data pipelines and platforms.</li><li>Design and implement automated testing frameworks for batch and streaming data pipelines.</li><li>Define and enforce data quality rules, metrics, and monitoring across key datasets.</li><li>Integrate data testing and validation into CI/CD pipelines and engineering workflows.</li><li>Partner with Data Engineers to review pipeline design, transformations, and schema changes.</li><li>Lead root-cause analysis for data incidents and drive long-term preventative improvements.</li><li>Establish documentation, standards, and governance processes for data quality and assurance.</li><li>Mentor and develop engineers, embedding strong quality engineering practices across teams.</li></ul>
<b>Technologies:</b>
<ul><li>BigQuery</li><li>CI/CD</li><li>Cloud</li><li>Databricks</li><li>ETL</li><li>Python</li><li>SQL</li><li>Snowflake</li></ul>
<p><b>More:</b></p>
<p>At Evri, were excited to offer a 18-month fixed-term contract for the role of Lead QA Data Engineer. This position is crucial to shaping how data quality is integrated into our data platform. We are dedicated to building trustworthy data at scale and leading innovative quality assurance practices. Join our inclusive and diverse workplace where you can be your authentic self while making a genuine impact across the organization.</p>
<p>last updated 8 week of 2026</p>
<b>Requirements:</b>
<ul><li>Strong experience in data engineering or QA data engineering within modern data platforms.</li><li>Proven expertise in automated data testing and validation (e.g. expectations-based frameworks).</li><li>Advanced skills in Python and SQL, with a solid understanding of ETL/ELT and data modelling.</li><li>Experience working with cloud data platforms (e.g. Databricks, Snowflake, BigQuery).</li><li>Deep understanding of data quality, governance, lineage, and observability concepts.</li><li>Confidence influencing technical and non-technical stakeholders at senior levels.</li><li>Experience leading, mentoring, or setting standards for other engineers.</li></ul>
<b>Responsibilities:</b>
<ul><li>Own and lead the end-to-end data quality and testing strategy across data pipelines and platforms.</li><li>Design and implement automated testing frameworks for batch and streaming data pipelines.</li><li>Define and enforce data quality rules, metrics, and monitoring across key datasets.</li><li>Integrate data testing and validation into CI/CD pipelines and engineering workflows.</li><li>Partner with Data Engineers to review pipeline design, transformations, and schema changes.</li><li>Lead root-cause analysis for data incidents and drive long-term preventative improvements.</li><li>Establish documentation, standards, and governance processes for data quality and assurance.</li><li>Mentor and develop engineers, embedding strong quality engineering practices across teams.</li></ul>
<b>Technologies:</b>
<ul><li>BigQuery</li><li>CI/CD</li><li>Cloud</li><li>Databricks</li><li>ETL</li><li>Python</li><li>SQL</li><li>Snowflake</li></ul>
<p><b>More:</b></p>
<p>At Evri, were excited to offer a 18-month fixed-term contract for the role of Lead QA Data Engineer. This position is crucial to shaping how data quality is integrated into our data platform. We are dedicated to building trustworthy data at scale and leading innovative quality assurance practices. Join our inclusive and diverse workplace where you can be your authentic self while making a genuine impact across the organization.</p>
<p>last updated 8 week of 2026</p>