6 of 6 Remote/Hybrid Azure Synapse Analytics Jobs in the North of England

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 ...

xperience and Education Required Approximately 10 years of industry experience implementing data integration tools such as Microsoft SSIS, Azure Data Factory, Databricks, Glue, Step Functions, Airflow, Apache Flume/Sqoop/Pig, and similar technologies. 3–5 years of team management experience. 3–5 years of consulting experience (preferred … frameworks. Experience using data modelling tools such as ERwin, ER/Studio, PowerDesigner, or similar. Experience with major database platforms, including SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse (SQL Data Warehouse), Snowflake, Redshift, and others. Strong experience with orchestration tools such as Azure Data ...

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 ...

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 ...

reporting, integration and technology teams What we’re looking for Strong data engineering experience in a cloud environment Experience with GCP, AWS or Azure Strong SQL and ideally Python Good understanding of data warehousing, data modelling and reporting/insight platforms Experience working with CI/… structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance best practice with commercial delivery ...

delivery teams in bringing those solutions to life. You will be at the forefront of designing end‐to‐end data and AI ecosystems across Azure and Microsoft Fabric, enabling organisations to unlock insight, automation and value from their data. From discovery through to delivery, you will influence technical direction … clarity and alignment across stakeholders. Architect Modern Data & AI Platforms Design end‐to‐end data platforms, including ingestion, lakehouse/warehouse, semantic models and analytics layers. Architect solutions using Azure and Microsoft Fabric, ensuring scalability and long-term maintainability. Integrate Machine Learning and AI capabilities into the wider ...