1 to 25 of 27 Great Expectations Jobs

programming frameworks (, Hadoop, Beam) ·Familiarity 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) and how they can be applied … Excellent staff travel benefits About easyJet At easyJet our aim is to make low-cost travel easy – connecting people to what they value using Europe’s best airline network, great value fares, and friendly service. It takes a real team effort to carry over 90 million passengers a year across 35 countries. Whether you’re working as part of More ❯

and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). What's on Offer Competitive base salary + bonus Flexible hybrid working model (Liverpool Street office) Private healthcare & wellness benefits Learning and development support The opportunity More ❯

and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). What’s on Offer Competitive base salary + bonus Flexible hybrid working model (Liverpool Street office) Private healthcare & wellness benefits Learning and development support The opportunity More ❯

and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). What's on Offer Competitive base salary + bonus Flexible hybrid working model (Liverpool Street office) Private healthcare & wellness benefits Learning and development support The opportunity More ❯

CD , and Infrastructure-as-Code (Terraform or similar). Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). What's on Offer Competitive base salary + bonus Flexible hybrid working model (Liverpool Street office) Private healthcare & wellness benefits Learning and development support The opportunity More ❯

CD , and Infrastructure-as-Code (Terraform or similar). Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). What’s on Offer Competitive base salary + bonus Flexible hybrid working model (Liverpool Street office) Private healthcare & wellness benefits Learning and development support The opportunity More ❯

pipelines via GitHub for efficient and reliable dbt model deployments. Contribute significantly to the design and implementation of comprehensive data quality and governance frameworks using tools like Datahub and Great Expectations. Proactively identify and address performance bottlenecks in data models and query execution within cloud data warehouses. Collaboration & Strategic Impact: Serve as a technical lead within cross-functional agile More ❯

pipelines via GitHub for efficient and reliable dbt model deployments. Contribute significantly to the design and implementation of comprehensive data quality and governance frameworks using tools like Datahub and Great Expectations. Proactively identify and address performance bottlenecks in data models and query execution within cloud data warehouses. Collaboration & Strategic Impact: Serve as a technical lead within cross-functional agile More ❯

and data systems to detect and resolve issues promptly. Develop monitoring tools to automate error handling mechanisms to ensure data integrity and system reliability. Utilize data quality tools like Great Expectations or Soda to ensure the accuracy, reliability, and integrity of data throughout its lifecycle. Create & maintain data pipelines using Airflow & Snowflake as primary tools Create SQL Stored More ❯

and data systems to detect and resolve issues promptly. Develop monitoring tools to automate error handling mechanisms to ensure data integrity and system reliability. Utilize data quality tools like Great Expectations or Soda to ensure the accuracy, reliability, and integrity of data throughout its lifecycle. Create & maintain data pipelines using Airflow & Snowflake as primary tools Create SQL Stored More ❯

big data solutions . Experience with cloud-based data platforms , particularly Azure Databricks, Azure Data Factory, and Synapse Analytics . Hands-on experience with test automation frameworks (e.g., PyTest, Great Expectations, DBT tests, or similar). Proficiency in SQL and scripting languages (e.g., Python, Scala) for test automation. Experience in CI/CD and DevOps practices , including integration More ❯

with Databricks, Azure Data Factory, Synapse, and cloud infrastructure testing . Deep understanding of data governance, data security, and compliance best practices . Expertise in test automation frameworks (e.g., Great Expectations, DBT tests, PyTest, Selenium, or similar ). Strong coding skills in Python, SQL, or Scala for automation and validation purposes. Hands-on experience in CI/CD More ❯

and big data solutions . Experience with cloud-based data platforms , preferably Azure Databricks, Azure Data Factory, or Synapse Analytics . Basic experience with test automation frameworks (e.g., PyTest, Great Expectations, DBT tests, or similar). Proficiency in SQL and scripting languages (e.g., Python, Scala) for test automation. Understanding of CI/CD and DevOps practices , with exposure More ❯

Azure Data Factory, Synapse Analytics, or ADLS . Proficiency in SQL and scripting languages (e.g., Python, Scala) for data validation and test automation. Experience with test automation frameworks (e.g., Great Expectations, DBT tests, PyTest, or similar ). Exposure to CI/CD testing within Azure DevOps, GitHub Actions, or Jenkins . Understanding of data governance, data security, and More ❯

big data solutions . Experience with cloud-based data platforms , particularly Azure Databricks, Azure Data Factory, and Synapse Analytics . Hands-on experience with test automation frameworks (e.g., PyTest, Great Expectations, DBT tests, or similar). Proficiency in SQL and scripting languages (e.g., Python, Scala) for test automation. Experience in CI/CD and DevOps practices , including integration More ❯

with Databricks, Azure Data Factory, Synapse, and cloud infrastructure testing . Deep understanding of data governance, data security, and compliance best practices . Expertise in test automation frameworks (e.g., Great Expectations, DBT tests, PyTest, Selenium, or similar ). Strong coding skills in Python, SQL, or Scala for automation and validation purposes. Hands-on experience in CI/CD More ❯

reliability across our sports technology ecosystem. What Your Day Will Look Like Build scalable and robust frameworks for validating complex data systems, pipelines, and APIs using tools like Pandas, Great Expectations, and Java modules. Collaborate with development teams to design and implement automated tests for microservices, emphasizing Spring Boot and Java-based architectures. Implement testing strategies for AWS … CI/CD pipelines for seamless build and deployment cycles. Strong programming skills in Python, with additional experience in SQL and scripting for data manipulation and validation. Familiarity with Great Expectations (or similar), Postman, and synthetic data generation frameworks. Expertise in identifying testing gaps, proposing enhancements, and fostering a culture of data quality and continuous improvement across teams. More ❯

reliability across our sports technology ecosystem. What Your Day Will Look Like Build scalable and robust frameworks for validating complex data systems, pipelines, and APIs using tools like Pandas, Great Expectations, and Java modules. Collaborate with development teams to design and implement automated tests for microservices, emphasizing Spring Boot and Java-based architectures. Implement testing strategies for AWS … CI/CD pipelines for seamless build and deployment cycles. Strong programming skills in Python, with additional experience in SQL and scripting for data manipulation and validation. Familiarity with Great Expectations (or similar), Postman, and synthetic data generation frameworks. Expertise in identifying testing gaps, proposing enhancements, and fostering a culture of data quality and continuous improvement across teams. More ❯

to work independently and as part of a distributed team Nice to Have Experience in a regulated or highly data-sensitive environment (e.g., fintech, healthcare) Exposure to tools like Great Expectations, Monte Carlo, or Soda Background in statistical or analytics QA InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities More ❯

to work independently and as part of a distributed team Nice to Have Experience in a regulated or highly data-sensitive environment (e.g., fintech, healthcare) Exposure to tools like Great Expectations, Monte Carlo, or Soda Background in statistical or analytics QA InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities More ❯

robust ETL/ELT pipelines across multiple data sources Design data models using Kimball/star schema Implement tooling for data quality checks, lineage, and observability (e.g., dbt tests, Great Expectations, Azure Purview) Work closely with DevOps teams to embed CI/CD and Infrastructure-as-Code using Terraform and Azure DevOps Work closely with stakeholders to gather More ❯

be valuable to ensure solutions are fit for purpose. Tooling Familiarity: Experience with relevant QA and data-related tools, which may include (but not limited to) Airflow, Stitch, DBT, Great Expectations, Datafold, and AWS. CI/CD Integration: Familiarity with CI/CD pipelines and the ability to integrate testing processes within automated deployment workflows. Communication skills: Clear More ❯

container orchestration, and cloud infrastructure (AWS preferred) Exposure to the front-end, particularly with regards to custom monitoring dashboards, is a plus Knowledge of data-quality frameworks (Soda/Great Expectations) is a plus Knowledge of ETL/ELT pipelines, and metadata management is a plus Excellent communication skills and a collaborative mindset to work effectively with other More ❯

and managing a feature store , and driving best practices for feature engineering in production systems . - Proficiency in model testing strategies , including unit testing for pipelines, data validation (e.g., Great Expectations, Deequ), and A/B or shadow testing. - Experience with model monitoring frameworks - Solid knowledge of CI/CD for ML , including automated training and deployment workflows. 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 ❯