2 of 2 Permanent Azure Synapse Analytics Jobs in Tyne and Wear

point data first lands on the platform, through the Bronze, Silver and Gold layers of our Medallion Architecture, and all the way to analytics, AI and self‐service reporting. Working within the Microsoft Azure and Databricks ecosystem, you’ll help build a data platform that’s scalable, flexible … built to last. Your work will directly support high‐impact use cases, including advanced analytics, pricing models, AI/ML solutions and regulatory reporting — ensuring teams across the business can trust and use data with confidence. You’ll collaborate closely with colleagues in Data Engineering, Data Science, Pricing, Platform ...

Data Engineering to join the team. The QA Data Engineer is responsible for ensuring the accuracy, reliability, and quality of data systems, pipelines, and analytics platforms. They design and implement automated testing frameworks, validate data transformations, and work closely with data engineers, analysts, and product teams to guarantee that … Data Engineering Testing tools like Great Expectations, dbt, pytest and data validation frameworks Experience of testing data platforms such as Snowflake, BigQuery, Redshift, Databricks, Azure Synapse Experience of testing pipelines in things like Airflow, Azure Data Factory, AWS Glue, Kafka Data Concepts ETL/ELT, data modelling ...