26 to 50 of 69 Azure Synapse Analytics Jobs

Excellent communication and stakeholder management skills Desirable Experience Customer segmentation and audience analysis Campaign performance and ROI analysis Customer journey, loyalty, or customer experience analytics Experience with Azure Synapse, Databricks, Microsoft Fabric, or similar cloud data platforms Experience within retail, distribution, e-commerce, trade, or multi-site … fixed-term contract Opportunity to work on high-profile marketing and customer insight initiatives Collaborative and stakeholder-facing role with real business impact Modern analytics environment using Power BI, SQL, and cloud-based data platforms If you're passionate about using data to improve marketing performance, customer engagement ...

full time basis. We offer hybrid working with 2-3 days per week in the office. You will support the Head of Data Analytics and Insights in providing the capability and capacity to leverage insight and analytics to address specific challenges within the business from ideation to delivery. … Responsibilities Designing, developing and maintaining BI solutions (Dashboards, reports and data models-semantic, using tools such as PowerBI, SQL. Support the Head of Data Analytics and Insight with identifying and documenting the end to end data architecture incl. systems and relevant processes across MRSG. Identifying gaps/areas ...

responsible for defining, building, and managing data-driven products that deliver business value. This role bridges the gap between business stakeholders, data engineering, analytics teams, and end users to ensure data products are reliable, scalable, and aligned with strategic goals. Your responsibilities: 1. Product Strategy & Roadmap Define the vision … solutions. Ensure proper data modelling, governance, and quality standards. Oversee the end-to-end lifecycle of data products (concept → development → deployment → optimization). 4. Analytics & Insights Define KPIs and success metrics for data products. Drive data-driven decision-making across the organization. Ensure actionable insights are delivered through dashboards ...

they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences … highly skilled Data Architect with deep expertise in designing and implementing cloud-native data platforms . The ideal candidate will have strong experience across Azure and AWS , with the ability to create scalable, secure, and high-performing data architectures that meet complex business needs. You will play ...

Specialty Lines) . This role drives enterprise-scale data and AI transformation , shaping modern data ecosystems, AI platforms , and AI-driven migration strategies on Azure, Databricks, and Power BI . A recognised thought leader , responsible for influencing C-level stakeholders, defining strategy, and delivering measurable outcomes through data + … Data ingestion, processing, modelling, semantic layer, and consumption AI platform integration (model lifecycle, feature engineering, inference pipelines) Design modern Lakehouse + AI architecture leveraging Azure and Databricks Define architecture for scalable, governed, and reusable AI-ready data platforms Ensure integration of data governance, lineage, security, and responsible AI principles ...

currently undergoing an ambitious transformation of their data and technology function, with substantial investment being made into modern cloud technologies, data platforms, and analytics capabilities. This transformation is enabling the organisation to unlock greater value from its data, improve operational insight, and support critical decision-making that … including Dynamics 365, into the enterprise data warehouse Leading data migration, cleansing, modelling, and transformation activities Supporting the evolution of data platform architecture using Azure technologies Ensuring strong data governance, quality, and documentation standards Collaborating with BI teams to enable high-quality reporting and analytics delivery YOUR SKILLS ...

including Dynamics 365, into the enterprise data warehouse Leading data migration, cleansing, modelling, and transformation activities Supporting the evolution of data platform architecture using Azure technologies Ensuring strong data governance, quality, and documentation standards Collaborating with BI teams to enable high-quality reporting and analytics delivery YOUR SKILLS … EXPERIENCE: You will bring strong capability in: Microsoft SQL Server and data warehousing (Synapse/Fabric/Azure SQL) Azure Data Factory, Databricks, and modern ETL tooling Data modelling, data migration, and large-scale data transformation Building and maintaining cloud-based data platforms Working within Agile delivery ...

upside of getting it right is visible at company level. You'll design and deploy solutions in Python, SQL and Spark SQL, working across Azure Synapse, Snowflake, Databricks and Azure ML. The environment is modern and evolving. You'll help shape what good looks like before convention … from a background in data science or applied statistics, with hands-on ML experience and the Python/SQL depth to match. Experience with Azure tooling is useful; the ability to think clearly about business problems and turn them into scalable analytical solutions is non-negotiable. Curious to find ...

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 ...

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 of using programming languages such as Python, Scala and SQL. Demonstrable knowledge … 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 for version control, CI/ ...

Information directorate, to work alongside information analysts, performance managers, data quality managers to develop data models to enable the creation of self-service analytics in a controlled and governed way. About us The Royal Marsden NHS Foundation Trust is a world-leading cancer centre. Our role is to offer … design and build adequate back-up solutions. 2.3 Contribute to business continuity and disaster recovery planning. 2.4 Maintain an in-depth knowledge of Microsoft Azure and SQL Server, and provide expert advice regarding its application, act as a point of escalation for investigation and resolution of complex technical issues. ...

teams on when and how to apply them. Optimise physical designs for performance, scalability, cost and resilience across cloud data platforms (e.g., Snowflake, Databricks, Synapse, BigQuery). Lead design reviews, ensuring models are accurate, high-quality, and aligned with business capabilities and domain boundaries. Data Governance & Metadata Management Define … business glossaries. Hands-on experience embedding data quality rules, profiling, scoring, and exception management into pipelines. Familiarity with modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, Redshift, etc.). Ability to lead architectural thinking across multiple domains and manage stakeholder complexity. Ability to produce high-quality architectural ...

line with agreed business logic Build models that are scalable, user-friendly, and suitable for both dashboards and self-service reporting Collaborate with analytics and engineering teams to maintain consistency in reporting standards Data Warehouse Reporting Layer Support development of the reporting layer within the data warehouse using … procedures, CTEs, and window functions Solid understanding of data modelling concepts such as fact and dimension tables, and star schemas Desirable Experience Experience with Azure Synapse or similar cloud data platforms Knowledge of Power Query (M language) Understanding of Power BI performance optimisation techniques Familiarity with ...

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 ...

lead and support three strategies: Cross-skill and enable data delivery squads working in legacy platforms such as SAS, IBM and Oracle, to MS Azure, to enable eventual migration of use-cases and data to cloud Lead the design, and roll-out of service excellence blue-prints to drive … data engineering. You will need to coach and support engineers directly. Strong knowledge of core data concepts and technologies is essential, ideally with MS Azure Synapse or Databricks. Experience delivering data or solutions to a range of customers with a strong value-orientation. Experience of full CI/ ...

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 ...

member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Principal Architect: Microsoft Azure Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Shape and lead transformative Microsoft Azure initiatives across financial services. About Capco Capco is a global … payments, capital markets, insurance, wealth and asset management, and energy with an agile, inclusive, and entrepreneurial culture. Role Overview As an expert in Microsoft Azure architecture, you will take a leading role in shaping enterprise-scale, transformative programmes for our clients. You will operate at the intersection of business ...

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 ...

Management (retention labels & policies) -Insider Risk Management -eDiscovery (Standard & Premium) Manage scanning rules, data connectors, metadata sources, and catalog assets. Support integration with M365, Azure, Power Platform, and on premises data sources Monitor Purview alerts, DLP incidents, policy matches, and governance activity logs Perform investigation of policy violations, insider … Governance - cataloguing, scanning, metadata management Records Management & Retention Labelling eDiscovery workflows and case management Defender for Cloud Apps Wider integration with SharePoint, OneDrive, Exchange, Azure Storage, SQL, Synapse, Data Factory, and Power BI Understanding of classification, metadata, and governance principles Knowledge of Microsoft 365 security & compliance capabilities Basic ...

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 ...

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 ...

define and execute the team backlog. Develop, implement, test, and document scalable ETL (Extract, Transform, Load) data pipelines and workflows using Databricks/Synapse to efficiently ingest and transform data from various sources. Work collaboratively with testers to ensure automated test plans are in place and agree on test … including data processing, automation, and scripting. CI/CD Knowledge : Experience designing and implementing CI/CD pipelines for data engineering using tools like Azure DevOps, GitHub Actions, or similar platforms. Cloud-Native Data Engineering : Experience with data modelling and ETL/ELT frameworks in a cloud-native environment ...

/ELT pipelines that ingest group operational data into the knowledge graph accurately and consistently Design and optimise Cypher queries for agent consumption, analytics and operational reporting Integrate the knowledge graph with LLM and RAG architectures to support AI agent knowledge retrieval Implement GraphRAG patterns to enable agents … knowledge retrieval errors Full Technical Skills: Graph Database Technologies Graph Platforms Query Languages Graph Modelling Neo4j (Enterprise) Amazon Neptune Stardog GraphDB (Ontotext) TigerGraph Azure Cosmos DB (Gremlin API) Cypher SPARQL 1.1 Gremlin GQL (ISO standard) openCypher SPARQL Update Property graph modelling RDF graph modelling Labelled property graphs Hypergraph structures ...