1 to 25 of 33 Great Expectations Jobs in the UK

with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt data quality, OpenLineage or Marquez, and data drift detection and alerting. Understanding of Data Management principles (security and data privacy ...

with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt data quality, OpenLineage or Marquez, and data drift detection and alerting. Understanding of Data Management principles (security and data privacy ...

Factory; streaming (Kafka). Experience across warehousing platforms (Teradata, Snowflake, Redshift, BigQuery, Synapse). Proven work with data catalog, lineage, DQ (Collibra/Purview; Great Expectations/dbt tests). Desirable skills: BFSI domain exposure (risk, finance, customer analytics, regulatory reporting). Cloud familiarity (AWS/Azure/ ...

Factory; streaming (Kafka). Experience across warehousing platforms (Teradata, Snowflake, Redshift, BigQuery, Synapse). Proven work with data catalog, lineage, DQ (Collibra/Purview; Great Expectations/dbt tests). Desirable skills: BFSI domain exposure (risk, finance, customer analytics, regulatory reporting). Cloud familiarity (AWS/Azure/ ...

Factory; streaming (Kafka). Experience across warehousing platforms (Teradata, Snowflake, Redshift, BigQuery, Synapse). Proven work with data catalog, lineage, DQ (Collibra/Purview; Great Expectations/dbt tests). Desirable skills: BFSI domain exposure (risk, finance, customer analytics, regulatory reporting). Cloud familiarity (AWS/Azure/ ...

reviews, pair programming, and architecture discussions • Continuously learning about the financial indices domain and sharing insights with the team Nice-to-haves: · It's great (but not required) if you also bring: · Experience with Apache Iceberg or similar table formats · Familiarity with CI/CD tools like GitLab … Jenkins, or GitHub Actions · Exposure to data quality frameworks like Great Expectations or Deequ · Curiosity about financial markets, index data, or investment analytics ...

reviews, pair programming, and architecture discussions • Continuously learning about the financial indices domain and sharing insights with the team Nice-to-haves: · It’s great (but not required) if you also bring: · Experience with Apache Iceberg or similar table formats · Familiarity with CI/CD tools like GitLab … Jenkins, or GitHub Actions · Exposure to data quality frameworks like Great Expectations or Deequ · Curiosity about financial markets, index data, or investment analytics ...

reviews, pair programming, and architecture discussions • Continuously learning about the financial indices domain and sharing insights with the team Nice-to-haves: · It’s great (but not required) if you also bring: · Experience with Apache Iceberg or similar table formats · Familiarity with CI/CD tools like GitLab … Jenkins, or GitHub Actions · Exposure to data quality frameworks like Great Expectations or Deequ · Curiosity about financial markets, index data, or investment analytics ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...

Experience writing SQL and PowerShell (or another scripting language) to automate data validation, reconciliation, and rule execution Exposure to data validation frameworks such as Great Expectations, Soda, or custom SQL/PySpark rule engines Experience validating pipelines and PySpark notebooks developed by data engineering teams across Fabric Data ...