9 of 9 Azure Synapse Analytics Jobs in the City of London

a pivotal moment. You'll be instrumental in designing and implementing the organisation's first enterprise-wide data strategy, building a trusted, AI-ready data estate, and enabling advanced analytics across departments including HR, Finance, Commercial, and Digital. What You'll Be Doing: Define and lead the enterprise data strategy and governance framework. Architect scalable, Azure-based data … platforms to support BI, analytics, and AI. Integrate fragmented data sources into a unified, accessible, and secure data ecosystem. Enable predictive analytics and machine learning through clean, well modelled datasets. Collaborate with stakeholders across the business to align data initiatives with strategic goals. Promote ethical and sustainable data practices, including compliance with GDPR. What We're Looking For … Significant experience in data architecture, with a strong track record in enterprise data strategy and systems integration. Deep expertise in Azure data services e.g. Azure Data Factory, Azure Data Lake, Azure Synapse, Azure Databricks. Strong stakeholder engagement skills - able to translate complex data concepts into business value. Experience preparing data estates for AI/ More ❯

Job Description: Are you passionate about Data and Analytics (D&A) and excited about how it can completely transform the way an enterprise works? Do you have the strategic vision, technical expertise, and leadership skills to drive data-driven solutions? Do you want to work in a dynamic, fast-growing category? If so, you might be the ideal candidate … for the role in the Data and Analytics function for Global Pet Nutrition (PN) at Mars. Pet Nutrition (PN) is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program, Digital First, has been mobilized by the Mars Pet Nutrition (PN) leadership team. Digital First places pet parents at the … significant thought leadership, quality decision making, deep technical know-how, and an ability to navigate complex business challenges while building and leading a team of world class data and analytics leaders. With Digital First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support More ❯

Azure Cloud Engineer Location: UK-based (with potential travel to India) Full-Time Remote Are you ready to take a leading role in shaping the future of cloud technology within one of the UK s most forward-thinking digital solution providers? Marston Holdings has developed a cutting-edge, enterprise-grade application designed to transform public sector operations. At the … heart of our platform is Microsoft Azure Platform-as-a-Service (PaaS), enabling us to build scalable, secure, and impactful solutions. We are now seeking a highly experienced Azure Cloud Engineer to support and lead our cloud initiatives across architecture design, security governance, provisioning, and operational performance. The Role: As a senior member of our Cloud Engineering team … you ll be instrumental in: Supporting and maintaining a robust, scalable Azure PaaS infrastructure Designing innovative, cloud-native architectures to meet evolving business needs Driving compliance, risk mitigation, and quality across cloud implementations Collaborating with cross-functional teams in the UK and India Monitoring performance, analysing metrics, and controlling cloud spend Advising on emerging Azure technologies and recommending More ❯

Role: Azure AI DevOps Engineer Salary: £50,000 Location: London or remote Benefits: Healthcare and great holidays The Role As a Machine Learning Operations Engineer, you will be instrumental in designing, deploying, and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services sector. Using Azure's cloud ecosystem, you will build … scalable ML workflows that support actuarial modelling, risk prediction, and client insight generation. Key Responsibilities 1. Azure-Based Machine Learning Development * Collaborate with domain experts and analysts to design and implement machine learning models that predict key outcomes such as life expectancy, investment return scenarios, and financial risks. * Deploy and manage ML solutions using Azure Machine Learning (Azure … ML techniques (e.g., classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps & Model Lifecycle Management * Own the end-to-end ML lifecycle using Azure ML pipelines, Data Factory (ADF), and ML tracking tools. * Implement CI/CD pipelines with Azure DevOps, ensuring robust version control, testing, and seamless deployment. * Monitor production ML More ❯

help clients unlock the full potential of their data assets. In this role, you’ll be instrumental in guiding organisations through the evolving landscape of data strategy, engineering, and analytics Key Responsibilities: Forge strong partnerships with clients and cross-functional teams, bridging the gap between business needs and technical solutions. Deliver high-impact work with precision, proactively identifying challenges … data pipelines (ETL/ELT) to ingest, transform, and deliver data from diverse sources. Required Skills & Experience: Deep expertise in building and deploying data solutions using platforms like Databricks (Azure/AWS) , Microsoft Fabric , Azure Data Factory , and Azure Synapse . Solid experience with the Microsoft data stack —including SSIS , SSAS , and SSRS . A strong … Kafka , or Snowflake . A comprehensive understanding of the data engineering lifecycle, including Agile delivery , DevOps , Git , APIs , containers , microservices , and pipeline orchestration . Nice to have: DP-203 Azure Data Engineering/Microsoft Certified: Fabric Analytics Engineer Associate The ideal candidate will be a self-motivated team player with a proven track record of delivering accurate, insightful More ❯

Based in London, our client is looking for an experienced data analyst to join their team as a Senior Analytics Consultant on a permanent and hybrid-working basis, with 2 days at home per week (Mon and Fri). This job would suit someone with at least 3 years’ experience in data analytics using mainly SQL, with Python … been seen within the hospitality sector, they are looking to expand the team due to the expansion of some key projects. The successful individual will have a strong data analytics background in a role where they are interpreting business data and interpreting how this affects the business and what can be ascertained from this. Excellent communication skills are a … must due to the ongoing communications both internally and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be More ❯

A passionate, mission-focused company in the healthcare sector is looking for a Power Platform & Azure Data Developer to join its growing technology team. The organisation is investing heavily in modern data solutions, intelligent automation, and AI-driven insights to improve operational efficiency and support smarter decision-making. They are committed to improving care for women's health and … holding themselves to the highest possible ethical principles. This role is ideal for a developer with a solid foundation in Power Platform (Power BI, Power Automate, Power Apps) and Azure Data tools, along with an interest in the potential of AI to enhance business value. You'll work across a modern Microsoft stack and contribute to high-impact solutions … that support both internal teams and strategic initiatives. Your Experience Should Include: Strong experience in a data development and automation role Experience with Azure Synapse, Databricks, or Power Apps. Knowledge of DevOps practices and CI/CD pipelines in Azure. Why Join? Meaningful work: Build data solutions that support a healthcare mission with real-world impact. Modern tools More ❯

Azure Data Engineer - 1/2 days onsite Summary: Join a team building a modern Azure-based data platform. This hands-on engineering role involves designing and developing scalable, automated data pipelines using tools like Data Factory, Databricks, Synapse, and Logic Apps. You'll work across the full data lifecycle - from ingestion to transformation and delivery - enabling … smarter, faster insights. Key Responsibilities: * Develop and maintain data pipelines using Azure services. * Ingest, transform, and model data from diverse sources. * Optimise data flows for performance and reliability. * Support data quality and monitoring processes. * Collaborate with cross-functional teams in an agile environment. Collaboration With: * Data Engineers, Architects, Product Owners, Test Analysts, and BI Teams. Skills & Experience: * Proficiency in … Azure tools (Data Factory, Databricks, Synapse, etc.). * Strong SQL and experience with data warehousing (Kimball methodology). * Programming skills in Python, Scala, or PySpark. * Familiarity with Power BI, SharePoint, and data integration technologies. * Understanding of DevOps, CI/CD, and cloud concepts (IaaS, PaaS, SaaS). * PowerShell scripting, containerisation, Semarchy MDM, NEC Housing, PL/SQL, and More ❯

Day – 6 Months – London (Hybrid) - Commodities Overview: A market leading organisation operating in the physical commodities space are searching for an experienced Data Architect with strong experience on the Azure Data stack to join one of their growing teams in London on a hybrid basis. Role & Responsibilities: Design and develop Enterprise Data Architecture for Trade, Sales Ops and Finance … Data Governance, and Data Modelling Strong understanding of data integration, data quality, and data governance. Extensive experience in working with big data technology tools and platforms such as Microsoft Azure Data Factory, Databricks, Unity Catalog, PySpark, Power BI, Synapse, SQL Server, Cosmos Db, Python. Understanding and application of cloud architectures and microservices in big data solutions. Understanding of More ❯