7 of 7 Azure Synapse Analytics Jobs in the North of England

Azure Data Engineer Manchester(Hybrid) You'll design and build scalable, automated data pipelines that bring together information from across the organisation. It's a hands-on engineering role covering everything from data ingestion to transformation, modelling and delivery, all within a modern Azure environment. You'll report … join our Data Engineering Team, working alongside architects, analysts, testers and agile delivery squads. Responsibilities: * Build and maintain scalable, automated data pipelines using Azure tools like Data Factory, Databricks and Logic Apps * Ingest, transform and model data from multiple sources into our enterprise data platform * Optimise data flows ...

architecture using recognised frameworks such as The Open Group Architecture Framework. Hands-on experience designing and delivering modern data platforms using technologies such as Azure Data Lake Gen2, Azure Synapse Analytics, Microsoft Fabric, Snowflake, Oracle, SAP or Teradata. Strong expertise in data integration and pipeline development … using tools such as Azure Data Factory, Microsoft Fabric, Talend, IBM DataStage, SAS DI Studio or AWS Glue. Advanced data modelling, transformation and querying skills using languages such as SQL and Python. Experience delivering data quality, metadata management and governance solutions using tools such as Microsoft Purview, Collibra Data ...

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 ...

strategies and roadmaps Strong hands-on experience building end-to-end AI systems (data pipelines, model development, deployment, monitoring) Deep experience with cloud platforms (Azure, AWS, or GCP) and cloud-native architecture Strong background in data engineering and large-scale data platforms (e.g., Spark, Databricks) Experience implementing MLOps frameworks … architect-level role, with strong technical leadership capability Key Skills Python (or similar programming languages) TensorFlow, PyTorch, or similar ML frameworks Cloud AI services (Azure AI, AWS SageMaker, GCP AI Platform) Data technologies (SQL/NoSQL, Spark, Databricks) API and microservices architecture DevOps/MLOps tooling Desirable Experience Experience ...

architecture and implementation of scalable, reliable and high-quality data solutions. This includes overseeing data pipelines, data warehousing, integration patterns and analytics enablement, ensuring that data platforms are robust, secure and aligned to business outcomes. Acting as both a hands-on engineer and a technical leader, the Lead Data … quality forums Key Skills Strong experience designing and delivering scalable data engineering solutions Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ELT pipelines ...

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 ...