4 of 4 Great Expectations Jobs in the UK

experience with workflow orchestration tools such as Airflow. Strong version control and DevOps exposure (Git, GitHub Actions, Terraform). Familiar with data quality tools and metadata/cataloguing (e.g. Great Expectations, Unity Catalog). Beneficial: MarTech domain knowledge. Notable: This is a hybrid engagement represented by 2 days/week onsite, either in Central London or Glasgow. You More ❯

Engines: Strong with RDBMS (PostgreSQL, MySQL), NoSQL (DynamoDB, Cassandra), data lakes (Parquet, ORC), and warehouse paradigms. Observability & Quality: Deep familiarity with metrics, logging, tracing, and data quality tools (e.g., Great Expectations, Monte Carlo, custom validation/test suites). Security & Governance: Data encryption, secrets management, RBAC/ABAC, and compliance awareness (GDPR, CCPA). CI/CD for More ❯

over 700 professionals, partnering with 800+ sector leaders. People come first always we are incredibly proud of our unparalleled work culture. Not just words on paper, we wear our "Great Place to Work" certifications from the UK and India like badges of honour. Dive into an ocean of opportunities in an atmosphere that celebrates collaboration. Sharpen your prowess with … in an Azure ecosystem. Required Experience: Creating mapping specifications between legacy and CRM, ERP, Finance applications Integration to D365, Dataverse solutions or other SaaS applications Data Quality Frameworks: Soda.io, Great Expectations, DBT Creation of fault-tolerant data ingestion pipelines in SSIS/KWS/Data Factory/data flows using Linked Services, Integration Datasets Extracting data from a … they leverage technology, working with public bodies to shape digital services and working with top tier private entities to bring genuinely new and meaningful products and services to market. Great Benefits – all the usual suspects and then some. Some highlights include our choose-your-own tech approach to end-user devices, well stocked cupboards with tasty goodies (we’re More ❯

data quality, lineage, cataloging, and contract enforcement. - Collaborate with data engineers and architects to deliver scalable pipelines. - Own roadmap and tooling integration for Alation, Databricks, Azure Data Services, and Great Expectations. - Partner with Data Governance to support domain stewards and ensure enterprise alignment. Ideal Experience: - Product ownership of data pipelines, platforms, or PaaS. - Familiarity with Azure, Databricks, and enterprise More ❯