22 of 22 Great Expectations Jobs

driven systems. Experience with data mesh, data product operating models, or modern data governance frameworks. Exposure to Data Quality and Observability platforms such as Great Expectations, Monte Carlo, or Soda. Industry experience within Financial Services, Energy & Utilities, Healthcare, Manufacturing, or Retail. Cloud provider and/or platform certifications ...

processing technologies Data storage:Delta Lake, ApacheIcebergand open table formats Data pipelines:Enterprise-scale ETL/ELT,batchand streaming patterns Transformation and quality:dbt, Great Expectations and equivalent tooling Orchestration:Apache Airflow and cloud-native orchestration services Event streaming:Kafka and cloud-native event-streaming technologies Data modelling ...

Hubs, Kafka, Stream Analytics, or Functions; CDC patterns. Lakehouse/Delta patterns on Databricks; MLflow and feature store awareness. Data quality tooling and frameworks (Great Expectations, Deequ) and dbt for transformation governance. Data Governance : Experience tracking data lineage, defining data quality policies and procedures, and enforcing them ...

legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. The opportunity ...

legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. The opportunity ...

frameworks. Examples include Airflow, Dagster or Prefect.* **Data Quality and Lineage** Familiarity with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt.* **AI and MLOps** Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment. ...

SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. Why apply? This ...

DataOps practices and tools, including CI/CD, Git, Terraform, Docker and Kubernetes. Experience with data quality tools and testing frameworks such as Great Expectations. Deep understanding of batch, streaming and event-driven architecture patterns. Experience designing resilient, scalable and observable systems and optimising platforms for performance and cost. ...

DataOps practices and tools, including CI/CD, Git, Terraform, Docker and Kubernetes. Experience with data quality tools and testing frameworks such as Great Expectations. Deep understanding of batch, streaming and event-driven architecture patterns. Experience designing resilient, scalable and observable systems and optimising platforms for performance and cost. ...

Engineering Discipline Infrastructure-as-code experience ( Terraform, Pulumi ) CI/CD pipelines using tools like GitHub Actions, ArgoCD Data testing and quality frameworks ( dbt, Great Expectations, Soda ) Delivery & Consulting Mindset Experience in consulting or professional services environments Strong consulting instincts — able to challenge assumptions and guide clients toward ...

optimisation of large-scale data processing workloads. Understanding of data governance, metadata management and data quality frameworks, including experience with tools such as Great Expectations or similar data validation solutions. Knowledge of Unity Catalog, including data lineage, permissions management, governance controls and data asset tagging. Strong analytical ...

Lake, Hudi). Familiarity with CI/CD platforms such as GitLab CI, Jenkins, or GitHub Actions. Exposure to data quality frameworks such as Great Expectations or Deequ. Interest or background in financial markets, index data, or investment analytics. #J-18808-Ljbffr ...

regulated sectors (utilities, financial services, health, etc.) is advantageous. Desirable Experience with data mesh, domain-driven design, or federated data ownership models. Experience with Great Expectations, dbt tests, or enterprise DQ tooling. Knowledge of MDM, reference data management, and semantic modelling. Experience with streaming platforms (Kafka, EventHub ...

enterprise integration patterns. Experience with MLOps and model monitoring tools such as MLflow. Experience with orchestration and data quality tools such as Airflow and Great Expectations. Industry experience in financial services or another data‐intensive sector. What We Offer We offer a competitive compensation and benefits package designed ...

skills. Desirable Experience Experience working with Azure, Databricks or modern data lakehouse architectures. Knowledge of data transformation and quality tools such as dbt and Great Expectations . Exposure to data engineering best practices, including CI/CD and Infrastructure as Code (IaC) . Experience supporting large-scale business ...

technical leadership role in data quality, observability, or governance. Deep knowledge of data observability frameworks (Monte Carlo, Soda, or equivalent) and data validation tools (Great Expectations, DBT tests, etc.). Deep understanding of data-as-a-product principles and experience applying them to improve data reliability and ownership. ...

Bits In Glass (BIG) operates as a rapidly expanding AI and automation consultancy, maintaining presence throughout Canada, the United States, India, and Great Britain. The firm's technical scope encompasses over ten primary platforms across artificial intelligence, cloud infrastructure, data management, automation solutions, and enterprise software. Honoured internationally … Great Place to Work and recipient of various partner achievement awards, BIG emphasizes team collaboration, technological innovation, and tangible client outcomes. Our staff consists of skilled engineering professionals dedicated to tackling difficult technical problems, driving joint success, and guiding enterprise organizations through digital transformation with certainty. Bits In Glass ...

Unity Catalog Deep expertise in medallion architecture, data ontologies, data products and data contracts, with strong command of data quality frameworks such as Great Expectations Proven ability to architect enterprise integration, master data management, matching and entity resolution to produce trusted, deduplicated golden records Demonstrated experience presenting architecture ...

DevOps and DataOps practices and tools, including CI/CD, Git, Terraform, Docker and Kubernetes.Experience with data quality tools and testing frameworks such as Great Expectations.Deep understanding of batch, streaming and event-driven architecture patterns.Experience designing resilient, scalable and observable systems and optimising platforms for performance and cost.Leadership … regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. Interested? Great, apply now and help us to Power the Possible. #LI-TB1Job SummaryEntity: Group TechnologyID: 2026-162485Category: Digital ITType: Full TimeContract: PermanentHours Per Week ...

DataOps practices and tools, including CI/CD, Git, Terraform, Docker and Kubernetes. Experience with data quality tools and testing frameworks such as Great Expectations. Deep understanding of batch, streaming and event‐driven architecture patterns. Experience designing resilient, scalable and observable systems and optimising platforms for performance and cost. … progression is a high priority at Kingfisher, I’ve always felt well supported. I’m proud to work for Kingfisher, I’ve had great opportunities that have enabled me to contribute to an exciting forward‐thinking company. Training & Development There are so many ways you can grow, learn ...

DataOps practices and tools, including CI/CD, Git, Terraform, Docker and Kubernetes. Experience with data quality tools and testing frameworks such as Great Expectations. Deep understanding of batch, streaming and event‐driven architecture patterns. Experience designing resilient, scalable and observable systems and optimising platforms for performance and cost. … progression is a high priority at Kingfisher, I’ve always felt well supported. I’m proud to work for Kingfisher, I’ve had great opportunities that have enabled me to contribute to an exciting forward‐thinking company. Training & Development There are so many ways you can grow, learn ...

Bits In Glass (BIG) operates as a rapidly expanding AI and automation consultancy, maintaining presence throughout Canada, the United States, India, and Great Britain. The firm's technical scope encompasses over ten primary platforms across artificial intelligence, cloud infrastructure, data management, automation solutions, and enterprise software. Honoured internationally … Great Place to Work and recipient of various partner achievement awards, BIG emphasizes team collaboration, technological innovation, and tangible client outcomes. Our staff consists of skilled engineering professionals dedicated to tackling difficult technical problems, driving joint success, and guiding enterprise organisations through digital transformation with certainty. Bits in Glass ...