13 of 13 Contract Azure Synapse Analytics Jobs in the UK

telemetry/SCADA systems domain is a strong plus. Extensive experience in cloud data architecture, infrastructure, and real-time data integration especially on Azure, Databricks, Synapse and Fabric with proficiencies in streaming platforms, infrastructure automation and Data Governance/MDM tools (e.g., Microsoft Purview, Profisee, Informatica, Databricks Unity … Catalog etc.)? If so, our client is currently seeking a Data Solution Architect to lead initiatives that support real-time analytics, AI/ML, secure data management, and enterprise-wide integration strategies especially within complex environments such as IoT and telemetry systems. The successful candidate will be a highly ...

Data Engineer/Data Analyst (Microsoft Fabric & Azure Data Platform) Location: London/Hybrid (ad-hoc travel to Crawley & Bankside) Day Rate: Up to £434.50 (Inside IR35) Duration: Initial contract to end of September (with likely extension) Start Date: ASAP Overview We're supporting a major programme entering Phase … Data Analyst to join on a contract basis. This is a fantastic opportunity to work on a modern data platform leveraging Microsoft Fabric and Azure technologies , contributing to key data transformation initiatives. This role suits someone with a blend of engineering and analytical capability , comfortable operating across data modelling ...

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 ...

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/ ...

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 ...

Hybrid Contract: 3 months with possible extension. Rate: £550 - £650 inside umbrella Purpose Design, build and assure scalable, secure data products and pipelines across Azure, AWS and Databricks. Lead data integration design, technical decisions and best practices, while mentoring engineers and enabling high-quality analytics, BI and data … science outcomes. Reporting & Collaboration Reports to Lead Data Engineer with oversight from Head of Data Operations & Engineering Works across Data Science, Analytics, Architecture, Cyber, Product and Delivery teams Acts as a senior technical lead, guiding engineers and influencing cross-team decisions Key Responsibilities Lead design and delivery of scalable ...

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 ...

expertise. Experience working with large and complex datasets. Strong understanding of modern data architecture principles. Highly Desirable Experience Medallion Architecture (Bronze, Silver, Gold). Azure Data Factory, Synapse or related Azure data services. Public sector, policing or regulated environment experience. Existing SC or NPPV clearance. Apply ...

Senior Data Engineer to join a leading organisation on a contract basis. This role will suit someone with strong experience across the Azure data platform , particularly Databricks and PySpark , who can take ownership of data engineering delivery from design through to implementation. This is a hybrid role requiring … platforms, delivering scalable data pipelines, and supporting high-volume data processing in a cloud environment. Key Responsibilities Design and build scalable data pipelines using Azure technologies Develop and optimise solutions in Databricks using PySpark Work with large and complex datasets, including streaming and batch data Build and maintain 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 ...

contract basis. The role focuses on designing, building and delivering solutions across the Microsoft cloud stack, with a strong emphasis on Microsoft Fabric and Azure data platform. Experience required: Hands-on experience delivering end-to-end data solutions across Microsoft Fabric and Azure, including OneLake, Lakehouse or Warehouse … Dataflows Gen2, Pipelines, Synapse and SQL Experience designing and building lakehouse and pipeline solutions from ingestion through to consumption ETL and ELT design experience, including data modelling using lakehouse patterns and star or snowflake schemas Experience migrating or integrating legacy data sources such as Dataverse and SQL into modern ...

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 ...