26 to 38 of 38 Azure Synapse Analytics Jobs in London

support a large-scale central government data programme. This role focuses on building, optimising, and maintaining secure, cloud-based data pipelines to enable analytics, reporting, and insight across complex government environments. You'll work as part of a multidisciplinary data team alongside architects, analysts, and platform engineers, contributing … regulated environments Strong experience with AWS data services , including: Athena , Glue , and S3 Building and managing ETL/ELT pipelines Experience working with Azure data platforms (e.g. Azure Data Lake, Synapse, Data Factory) Strong SQL skills and experience working with large, complex datasets Understanding of data security ...

Architect to support the delivery of a high-profile central government data programme. This role focuses on designing secure, scalable data architectures to support analytics, reporting, and operational insight across complex government environments, with a strong emphasis on Microsoft technologies and cloud integration. This is a hands-on architecture … current and transferable Proven experience as a Data Architect within central government or regulated environments Strong knowledge of the Microsoft data stack , including: Azure Data Services (Synapse, Data Factory, Azure SQL, Data Lake) Power BI (enterprise reporting, semantic models, governance) Data governance and metadata management (e.g. Purview ...

expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Experience in establishing data analytics and supporting AI solutions. Data quality/validation experience: designing metrics and KPIs to verify and automate management of data quality. Good working experience … e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Desirable Skills Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric. Security Clearance Requirements The successful candidate must be eligible ...

delivery of a high-profile central government programme. This role focuses on designing, building, and deploying scalable machine learning solutions to enable advanced analytics, automation, and decision-making across complex government systems. This is a hands-on engineering role, working closely with data scientists, analysts, architects, and product teams … Python (e.g. Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse) Experience in AWS environments is beneficial Experience with MLOps practices and tools (CI/CD pipelines ...

strong reputation for combining hands-on technical excellence with strategic delivery, working closely with clients to design and implement modern data platforms across Azure, Databricks and Microsoft Fabric. What makes them stand out is their ability to offer true variety and progression, you'll work across multiple clients, influence … delivery across multiple client engagements Designing and building data pipelines, lakehouse architectures and data platforms Working hands-on with Spark, SQL and Python Leveraging Azure Data Services, Databricks and Microsoft Fabric Engaging directly with clients to gather requirements and shape solutions Driving and supporting pre-sales activities (solution design ...

cloud-native platforms Drive adoption of advanced frameworks (PyTorch, TensorFlow, Hugging Face, LangChain) Oversee integration of LLMs (OpenAI, Anthropic, Gemini, Mistral) via enterprise platforms (Azure OpenAI, Vertex AI) Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) Data & Engineering Excellence Lead the evolution of modern data platforms … Databricks, Snowflake, Synapse, BigQuery) Ensure robust data engineering practices (Airflow, dbt, Prefect) and governance (Collibra, Purview) Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps Champion multi-cloud engineering across Azure, AWS, and GCP Lead MLOps strategy (MLflow, Kubeflow, SageMaker, Vertex AI) and CI/ ...

required to be onsite 3 days a week. The successful candidate will lead the data acquisition function by defining ingestion strategy and building Azure-based data pipelines. You will translate end-user requirements into scalable engineering solutions, act as the domains primary Data Manager for data governance, lineage, quality … data solutions to Trading, Risk, Finance, and Operations. Your responsibilities: Own ingestion strategy and define scalable batch/streaming data patterns Design and deliver Azure-based data pipelines and platform solutions Standardize connectors, schemas, controls, CI/CD, IaC, and automated testing Lead onboarding of enterprise and market data ...

data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing … data migration projects Strong capability in: Source-to-target mapping Data transformation design Data reconciliation and validation techniques Cloud & Architecture Experience with cloud platforms (Azure, AWS, or GCP) Understanding of lakehouse architectures and hybrid data platforms Desirable Experience with medallion architecture (bronze/silver/gold layers) Knowledge ...

data pipelines Advanced Python skills (production-grade, performant code) Strong hands-on experience with pandas Strong SQL Server skills Experience with cloud platforms (Azure or AWS) Experience using Git in a team environment Hands-on experience using AI coding tools (e.g., Copilot, Cursor, Claude, Codex) Nice to have: Experience … with Airflow, Dagster or other orchestration tools Experience with data lakes (Synapse, Snowflake) Experience with Docker Experience with streaming technologies (Kafka, RabbitMQ) Experience with Spark or other big-data tools Hybrid working – 3 days per week in a central London office (Tues - Thurs) If you’re excited ...

lineage tools Strong knowledge of data protection regulations (e.g. GDPR) and information assurance Experience defining and implementing data standards, policies, and controls Familiarity with Azure data environments (Data Lake, Synapse, etc.) Experience working with data owners, stewards, and governance forums Strong stakeholder management and communication skills Comfortable working ...

Role: Senior Azure DevOps Engineer (Kafka) Location: Remote (UK) Salary: £75k + 10% Bonus Key Skills: Azure Terraform Kubernetes Kafka Data platforms Overview We're partnering with a fast-growing SaaS organisation building a modern, data-driven platform that powers better insight into behaviour, performance, and collaboration … cloud and data infrastructure. This is a hands-on role spanning cloud infrastructure, DevOps, and data platform engineering. The Role You'll work across Azure cloud infrastructure and data platforms, helping to build scalable, secure systems and improve how data flows across the organisation. You'll also play ...

Principal Data Architect - Energy, Renewables, Azure £Market Rate London/Hybrid 6 months initially My client is an instantly recognisable consultancy who require a Principal Data Architect to lead the design, build, and operation of a multi-party, secure data-sharing platform for wind asset owners. You'll architect … cloud-native data platform (Azure) that enables cross-fleet analytics, benchmarking, and predictive maintenance at scale for an end client within the Renewable Energy domain. Key Responsibilities: Own end-to-end architecture (data model, ingestion, APIs, anonymisation, access controls) Design a scalable Azure PaaS data platform ...

operational efficiency, monitor and optimise IT infrastructure, applications. Essential qualifications Real world experience in designing enterprise digital and data architectures. Experience in cloud platforms (Azure, AWS) and hybrid cloud strategies and understanding of data platforms across these hyperscalers. Proficiency in Azure data services (Data Factory, Synapse, Fabric ...