26 to 42 of 42 Azure Synapse Analytics Jobs in the UK excluding London

Senior Analytics Engineer - SQL/Azure Data Factory/Fabric - is required by fast growing, international organisation. Job purpose Due to their continued success in their online platform, they are expanding their portfolio to increase their current offerings, adding more products to their corporate intelligence and due diligence … solutions. They have a new and exciting opportunity for a Senior Analytics Engineer to join the team based at their Head Office in Oxford. This opportunity is to work with their Data & BI Team, scoping out new potential developments and redevelopments of their data platform used by their clients. ...

Customer First mindset, creating unforgettable holidays and flights. Trusted, high quality data is critical to this, and we're looking for a Lead Data & Analytics Engineer to help drive delivery excellence and build a high performing analytics engineering team. This role is analytics engineering led, with responsibility … senior stakeholders, while remaining close enough to the detail to ensure quality, manage risk, and support your team effectively. As our Lead Data & Analytics Engineer , you'll have access to a wide range of benefits including: Mostly remote working, with one day per month in our Leeds Holiday House ...

Senior Azure Developer Competitive Salary + Excellent Benefits | Permanent | Hybrid We're looking for an experienced Azure Developer to join a growing data team, designing and delivering scalable cloud-based data integration and analytics solutions. Key Responsibilities Design, develop, and maintain Azure-based data integration solutions. … Build and support ETL processes, data pipelines, and application interfaces. Develop cloud-native integrations using Azure services including ADF, Synapse, Logic Apps, and Function Apps. Support real-time, batch, and event-driven data processing. Collaborate with architects, analysts, and developers to deliver high-quality data solutions. Maintain production ...

exposed to a wide range of projects that include internal and external suppliers. Essential Skills Proven experience as a Data Engineer Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience with Microsoft Fabric Experience of using programming languages such as Python, Scala … SQL. Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure. Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Experience in using Git, Azure DevOps, or GitHub Actions ...

with SQL for querying, exploring and shaping data Working knowledge of at least one cloud data platform (for example Snowflake, BigQuery, Redshift, Databricks or Azure Synapse) A good understanding of the data lifecycle: ingestion, transformation (ETL or ELT), modelling and getting data into a usable state Able … visualisation tool (Power BI, Tableau, Qlik or Looker) Some Python for data manipulation and scripting Familiarity with cloud platforms (AWS or Azure) and connecting source systems such as CRM and ERP via APIs Exposure to modern AI tooling (LLMs, copilots, Snowflake Cortex or similar) Snowflake ecosystem experience Note ...

Azure Databricks Engineer - Contract - 6 Months+ I am looking for an Azure Databricks Engineer to join a project for my new international client. The contract is initially 6 months but has a really strong view to extend into the new year. Rate : £550 per day Location : Remote Length … months with a strong view to extend.Essential skills - Experience with Databricks and Pyspark. Strong Medaliaon architecture experience. Dimensional data modelling experience. Kimball/Inmon Azure Data engineering with exposure to Synapse, Databricks, Data Factory Azure SQL. Python Scripting for Pyspark C# Experience Experience with TDD and Unit ...

frameworks. Contribute to the architecture and technical design of secure, scalable, and resilient data platforms. Build and optimise cloud-native data solutions across Azure, AWS, or GCP. Work closely with software engineers, architects, and product teams to deliver complex technical solutions. Design and implement data models and storage solutions … that support high-performance analytics and operational workloads. Optimise data platform performance, reliability, and scalability. Champion engineering best practices across code quality, automation, testing, security, and CI/CD. Troubleshoot complex technical issues and drive continuous improvements across data platforms. Stay current with emerging cloud technologies and contribute ...

Experience building and maintaining ETL/data pipelines Knowledge of data modelling and database design Strong analytical and problem-solving skills Nice to have: Azure (Data Factory, Synapse, Databricks or similar) Power BI Git or Azure DevOps Experience working with cloud-based data platforms Exposure to retail ...

application teams. What you'll be doing: Designing and building ETL/ingestion pipelines using Microsoft Fabric (Data Factory, Pipelines, Lakehouse, Notebooks) or equivalent Azure tooling Implementing source-to-target mappings and transformation logic for the migration Owning data validation, reconciliation, and defect resolution through migration test cycles Building … reusable migration frameworks - ingestion pipelines, validation routines, error-handling Supporting CI/CD, Git-based release processes via Azure DevOps What you'll bring: Extensive data engineering/integration/migration experience Hands-on Azure Data Factory, Fabric Data Factory, or Synapse Pipelines Strong SQL - profiling, transformation ...

enabling the AI-empowered workforce of tomorrow, you’ll be working at the cutting edge of what’s next. We DESIGN next-generation data, analytics and AI platforms – You will lead the architecture and development of scalable, secure and cost-efficient platforms that power both operational and analytical workloads … leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation – You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions – You will ...

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 ...

e.g. PL-300: Power BI Data Analyst) are desirable. Experience with SQL and relational databases. Experience within local government or public sector. Knowledge of Azure Data Platform (Data Factory, Synapse, etc.). Familiarity with Microsoft Fabric/Power Platform. Awareness of data governance and regulatory requirements ...

Contribute to the consultancy's technical communities and quality forums. Requirements: Proven experience designing and delivering scalable cloud based data engineering solutions. Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ...

Data Engineer – Azure/Fabric/Pipelines Hybrid – 4 days office (Stoke)/1 day WFH Salary: +benefits A major UK organisation is investing heavily in its digital, data and technology landscape and is looking for a Data Engineer to join its expanding Data function. This is a fantastic … governed and delivered across the business. The Opportunity You’ll join a growing team of Data Engineers and Analysts working on: Cloud migration to Azure & Microsoft Fabric Building new ingestion pipelines for a major billing system replacement Improving data quality, governance, lineage and operational accuracy Supporting the organisation ...

company look to move away from traditional reporting and legacy data platforms towards a modern, cloud based data ecosystem built on Microsoft Fabric, Purview, Azure DevOps and Power BI. Key responsibilities include: Lead the migration from traditional reporting approaches to Microsoft Fabric, helping establish the foundations for self-service … analytics Take ownership of semantic modelling and reporting standards within Microsoft Fabric, ensuring the analytics platform is scalable, permanent and supports future growth Manage and mentor a team of Power BI specialists Deliver intuitive Power BI dashboards and data products that enable colleagues to make informed decisions using ...

programme and is building out its data engineering team. They're replatforming their data and reporting estate onto a modern Snowflake, dbt, Fivetran and Azure stack, retiring legacy SQL Server warehouses along the way. The pace is fast, the scope spans multiple international markets, and the work is highly … delivery team. What you'll be doing Building and maintaining ingestion pipelines (Fivetran) and transformations (dbt) on Snowflake. Developing and operating data integrations across Azure data services (Function Apps, Logic Apps, Service Bus, Data Factory). Supporting the controlled migration and decommissioning of legacy SQL Server warehouses – reconciliation, parallel ...

event driven and API led approaches. Experience designing architectures across hybrid cloud and on‐premise/edge environments, using platforms such as AWS or Azure, with a strong understanding of distributed systems and event‐driven architectures (e.g. Apache Kafka, AWS Kinesis, messaging and streaming patterns). Experience designing architectures … leaders. Hands‐on experience with modern cloud native data platforms, such as: MODCloud – ICE, ACE environments AWS data services (e.g. S3, Redshift, EKS, Kinesis) Azure data services (e.g. Data Lake, Synapse, AKS) GCP Kubernetes‐based platforms and containerised data services Telicent Understanding of NATO data standards, interoperability requirements ...