1 to 25 of 39 Azure Synapse Analytics Jobs in London

Your responsibilities: Define target-state Azure AI reference architectures leveraging Azure AI Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures (vectorization, indexing, chunking, grounding, citation policies) using Azure Search … stores. Create architectural decision records (ADRs), guardrails, and reusable blueprints for solution teams. Lead end-to-end solution designs including API contracts, integration patterns (Azure Functions, Logic Apps, Event-driven), security boundaries, and observability. Architect document intelligence pipelines (classification/extraction/OCR/validation) and integrate with downstream ...

Azure Data Solution Architect Location - London UK Hybrid - 2 days per week Duration of contract - 10 months . Can be extended We are seeking a seasoned Solution Architect to lead the design and implementation of our modern data estate on Microsoft Azure. You will be responsible for defining … blueprints for complex data pipelines, oversee governance, and provide technical leadership to development teams. Key Responsibilities Architecture Design: Create end-to-end blueprints using Azure Data Factory (ADF) , Synapse Analytics , and Data Lake Gen2 . Data Engineering: Oversee the development of scalable ETL/ELT workflows ...

Azure Data Engineer - Outside IR35 - Hybrid ( 3 Days in London) About the Role The IT Data Engineer is responsible for analysing, designing, and delivering software and data solutions that improve business processes, enhance decision-making, and optimise analytics. Working within a small, high-performing IT team, you will develop … party teams where required Drive continuous improvement, DevOps, CI/CD, and test automation Champion service readiness and support considerations Skills & Experience Strong Microsoft Azure knowledge, including Azure SQL Database, Azure Data Factory, Azure Data Lake, and Azure Synapse Analytics Solid data engineering ...

consultancy within the Financial Services (Wealth Management) space – we need a team to build an end-to-end data warehouse in Azure. Expertise in Azure Blob storage, SQL database, ADF, Azure functions, Synapse needed. Highly competitive day rate on offer – Depending on experience London/Hybrid Experience … needed: Azure stack - Blob Storage, SQL Database, ADF, Synapse Analytics, and Azure Functions. Delivered end-to-end DWH (source integration, dimensional models, API layer) as a lead engineer. Designed and built Bronze/Silver/Gold medallion architecture in Azure. Made architectural decisions (source integration patterns ...

role. Role Purpose We are seeking an exceptional Senior/Lead Data Engineer to design, build, and govern enterprise-grade data platforms that power analytics, AI, and operational decision-making. This role blends hands-on engineering , technical architecture , and stakeholder leadership . You will work across business and technology … high-quality data products. Key Responsibilities Data Engineering & Platform Delivery Design, build, and maintain end-to-end data integration pipelines across cloud platforms (primarily Azure) using tools such as Azure Data Factory, Databricks, PySpark, SQL, and Python . Develop scalable ELT/ETL pipelines to support analytics ...

Contract Azure Data Engineer - £600/pd Outside IR35 Please note - this is a London based role which will require you to attend the London office three days per week. To be eligible for this role you must be based in the UK and have the unrestricted right … quality data and software solutions within a fast-paced asset management environment. You'll join a small engineering team driving improvements across core systems, analytics workflows, and DevOps-led delivery processes. Key Responsibilities Analyse business processes, gather requirements, and document technical solutions. Design, develop, and deliver data and software ...

Intelligence (BI) solutions leveraging Microsoft Fabric and the broader Microsoft data ecosystem. This role is responsible for delivering a modern, secure, and high-performing Azure-based data platform that enables high-quality reporting, analytics, and business insight across the Group. The successful candidate will: Design and develop scalable … solutions using Microsoft Fabric Build and manage data pipelines using OneLake, Dataflow Gen2, and Azure Data Factory Develop semantic models in Microsoft Power BI and integrate with DirectLake or Warehouse datasets Work closely with data architects, analysts, and stakeholders to deliver impactful insights Optimise data models for performance, scalability ...

efficiency and effectiveness across pilot initiatives and future transformation projects. This role will play a critical part in modernizing the WONA Data Warehouse using Azure cloud technologies, enabling a standardized, global view of data across the Trading & Supply (T&S) Crude Business. The successful candidate will help minimize delivery … business analysis activities for data transformation initiatives Define and standardize data granularity across global crude trading datasets Support modernization of WONA Data Warehouse using Azure technologies Ensure data alignment between WONA and NA platforms Collaborate with technical and business stakeholders across Trading & Supply Contribute to CoE and CoP initiatives ...

including Semantic Kernel, LangGraph, and CrewAI. Drive responsible integration of Large Language Models (LLMs) from OpenAI, Anthropic, Google Gemini, and Mistral, including deployment through Azure OpenAI Service or Vertex AI. Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) to power enterprise knowledge intelligence platforms. Data Platform … Engineering Excellence Lead the evolution of the enterprise data landscape using modern platforms such as Databricks, Snowflake, Azure Synapse, and BigQuery. Oversee data engineering with Apache Airflow, dbt, and Prefect, ensuring performance, governance, and alignment with enterprise metadata standards (Collibra, Alation, Microsoft Purview). Drive adoption of Delta ...

Data & AI Architect - Hybrid (London) - Azure - Fabric - Modern Data Architectureup to £110,000 If you're looking for a senior role where you can influence how Data & AI is shaped and delivered within a fast-growing Microsoft partner, this is an opportunity that truly stands out. The organisation … investing heavily in modern cloud, analytics and AI and they're building a team where experienced voices can make a real difference. You'll join a culture that values deep expertise, encourages open knowledge-sharing and supports ongoing development. With modern tools, varied client work and a people-focused ...

Role We are seeking a Lead Data Engineer to join a leading Microsoft partner specialising in modernising data platforms and delivering cutting-edge analytics solutions for organisations across the UK. In this senior position, you will take ownership of designing and delivering advanced data solutions, guiding technical strategy … complex client engagements. You will work closely with stakeholders to understand their business challenges and architect scalable, efficient data platforms that enable self-service analytics and long-term growth. This is a hands-on technical role with the added responsibility of mentoring engineers, influencing best practice and contributing ...

Data Architect £72,000 About the Role We are seeking a Data Architect to support the design and delivery of modern Azure-based data solutions within a large, highly regulated organisation operating in the public and professional standards sector. This role sits at the heart of a data-driven … organisational strategy and best practice. Responsibilities Lead data architecture design for projects, producing Data Architecture Assessments Design and deliver cloud data architectures using Azure Data Lake, Azure Data Factory, Synapse, SQL and related services Lead project-level data architecture, defining data models, flows, integrations and governance Champion ...

Salary: Up to £70,000 + benefits Do you want to shape growth strategy at a global entertainment leader where data, AI and advanced analytics power unforgettable experiences? We’re looking for a Data Scientist who’s passionate about turning complex, large-scale data into predictive models and actionable … Data Scientist Take ownership of high-impact growth use cases across marketing, pricing and demand forecasting. Design, build and deploy predictive models and advanced analytics solutions that unlock new revenue opportunities. Work with large, diverse datasets to uncover patterns and trends that inform strategic decision-making. Partner with Growth ...

platforms and technologies for leading clients Lead technical project delivery whilst mentoring junior consultants and shaping their development Work with cutting-edge tools including Azure Data Factory, Databricks, and cloud data platforms Collaborate with clients on solution architecture, consulting on approach and technology strategy Enjoy flexible remote working with … technical solutions. Responsibilities Design and build data and insight solutions across various data platforms and cloud technologies Implement technical solutions using tools such as Azure Data Factory, Databricks, SQL Server, and Oracle technologies Lead technical project delivery, ensuring successful client outcomes and quality standards Consult with clients on solution ...

reusable solution assets. This role combines strategic leadership with hands-on architectural work, contributing directly to customer success and revenue growth. Key Skills & Experience Azure Data & AI Services - Data Factory, Synapse, Azure SQL, Storage, Power BI, Fabric. AI & Machine Learning - generative AI, cognitive services, ML engineering, responsible ...

looking for with this role: Technical Skills· Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar).· Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf … native ETL tools) and batch vs. streaming patterns.· Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA).· Analytics, BI, and data science· Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models.· Working ...

looking for with this role:Technical Skills· Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar).· Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf … native ETL tools) and batch vs. streaming patterns.· Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA).· Analytics, BI, and data science· Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models.· Working ...

looking for with this role: Technical Skills · Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). · Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf … native ETL tools) and batch vs. streaming patterns. · Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). · Analytics, BI, and data science · Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. · Working ...

looking for with this role: Technical Skills · Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). · Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf … native ETL tools) and batch vs. streaming patterns. · Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). · Analytics, BI, and data science · Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. · Working ...

Engineer to join our Data and AI Team supporting internal service delivery transformation projects across Tax and Legal. You will be a Python and Azure expert in designing and building cutting-edge generative AI solutions for complex challenges. You will report to the Technical Lead and collaborate with data … . Experience retrieving data from structured, unstructured and web sources (Selenium/PlayWright, Pandas, XML etc) Must have experience building data engineering pipelines in Azure Experience in Azure including Azure Fabric, Data Factory and Azure integrated services such as ML Studio, Foundry, Synapse, Cosmos Deep ...

Enterprise Data Architect for major commodities trader you will be the architectural 'backbone' and technical authority for a market leading portfolio of data/analytics products. This is very much a hands-on architect role: you will design enterprise-grade data solutions and guide their delivery and impact globally … enterprise, covering ingestion, storage, transformation, serving, and consumption layers. Make/document clear decisions on cloud vs. on-premise placement for data and analytics workloads, with explicit rationale and trade-off analysis. Design and optimise data warehouses and data models (relational, dimensional, and where appropriate, vault or lake-house ...

hands-on technical role suited to someone passionate about engineering reliable, secure, and scalable BI environments. Key Responsibilities Design and deliver scalable Azure-based data platform solutions, including Data Warehouses and enterprise reporting tools. Build and manage data pipelines using Microsoft Fabric, OneLake, Dataflows Gen2, and Data Factory. Develop … semantic models, integrating with DirectLake and/or Warehouse datasets. Act as a hands-on Data Engineer across the full BI stack, leveraging Azure Synapse, SSIS, SQL, and Data Lake technologies. Provide technical support and maintain the organisation's BI infrastructure. Lead and support migration and reconciliation ...

seeking an experienced Senior Data Engineer with active SC clearance to support a Central Government department on a mission-critical data and analytics programme. This role suits someone with strong Microsoft Fabric expertise and experience delivering secure, scalable data solutions in complex public sector environments. The Role … estates and embed strong data engineering standards. Key Responsibilities: Build and operate scalable data pipelines using Microsoft Fabric (OneLake/Delta Lake, Data Factory, Synapse Data Engineering). Develop batch processing solutions using PySpark, Spark SQL, Python, and SQL , with a focus on performance, resilience, and data quality. Support ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required … more details Experience required: Data FIRST mentality. You must have been working within Data Engineering before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance Development Framework experience within Microsoft Stack ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required … more details... Experience required: Data FIRST mentality. You must have been working within Data Engineering before moving into Product Ownership Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance Development Framework experience within Microsoft Stack ...