Data, analytics and AI consultancy delivering cloud data platform builds
Ingrity is a Sydney data and analytics consultancy whose stack spans AWS, Azure and GCP alongside dbt, Airflow, Fivetran, Matillion and Databricks, the multi-cloud breadth typical of client-delivery work. Job posts point to Snowflake warehouse migrations and a Salesforce Sales Cloud to Financial Services Cloud move. Senior-weighted data hiring and transaction-monitoring data quality themes suggest regulated financial-services engagements.
Ingrity is a privately held data and analytics firm founded in 2018 and headquartered in Sydney, New South Wales, with 51–200 employees. It advises and delivers across data strategy, data engineering, data science, business intelligence, reporting, cloud strategy and digital transformation. Its consultants work on AWS, Azure and GCP, using tooling such as dbt, Apache Airflow, Fivetran, Matillion, Databricks and BigQuery, plus integration platforms like MuleSoft, Apigee, Kong and Kafka. Hiring is currently focused in Australia.
Ingrity works across AWS, Azure and GCP with dbt, Apache Airflow, Fivetran, Matillion, Databricks, BigQuery, Kafka, MuleSoft, Docker and Kubernetes, and is adopting Snowflake.
Yes. Hiring is steady and centred on senior data roles, with some engineering and support positions, all based in Australia.
Current work includes a Financial Services Cloud migration, end-to-end Snowflake implementations, ETL/ELT pipeline development and data quality monitoring frameworks.
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Ingrity's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.