12 of 12 Permanent Azure Synapse Analytics Jobs in Bristol

Are you an experienced Data Engineer with in depth knowledge of both on-premises SQL data warehouses and modern Lakehouse architectures hosted on Azure? Do you enjoy bringing ideas to the table and sharing knowledge with stakeholders? If so, the Data Engineer role here at Harding+ could be perfect for you. About the role: Harding+ continues to prioritize data … including hands-on development and implementation of a robust strategy for transitioning datasets, ETL pipelines, and reporting solutions to the cloud. ETL & Pipeline Development: Build scalable ETL processes using Azure Data Factory, Azure Synapse, and other Fabric-native tools, ensuring a smooth integration between the on-prem and future cloud environments. Cloud Infrastructure Design: Design and implement … Azure-based data architecture, leveraging tools like Azure Data Lake, Azure Synapse Analytics, and Fabric’s data capabilities to future-proof the platform Azure Expertise: Utilize Azure tools such as Synapse Analytics, Logic Apps, and Azure Functions to streamline data processing and orchestration across the business. End-User Reporting & Analytics More ❯

mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home … key role in crafting the data platforms, models, and pipelines that inform strategic decision-making for our customers and prepare data for a plethora of use cases from simple analytics to Generative AI and Data Science. This role reports into our Principal Data Engineer. Your Role As a Senior Data Engineer, you will: Collaborate and Innovate: Partner with both … Contribute to Accelerators: Help evolve Ascent’s Data accelerators, patterns and metadata frameworks, enabling customers to rapidly implement effective solutions from both a technology and business perspective. Your Skills Azure Data Engineering: Proven success as an Azure Data Engineer, with the ability to consult, advise, engineer and optimise our customers data products and assets. Azure Data Products More ❯

Team-oriented, with a positive attitude and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory … Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and More ❯

to hear from you! This is a fantastic opportunity to join our client at the start of its major data transformation journey. Their move to the cloud with Microsoft Azure, Fabric, and Synapse technologies will see you work with cutting-edge Cloud and AI-driven analytics, making this an exciting time to be part of its data … Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance. Build and deploy predictive models, enhancing customer behaviour forecasting and operational insights. Maintain and further develop pricing analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration … into Azure Synapse & Fabric. Play a key role in cloud migration projects, supporting the organization's transition to Azure-based analytics. Lead data discovery projects to onboard and analyze new data sources, helping shape our future data landscape. Champion coding best practices, version control, and testing within the data science team. Collaborate with internal teams and external More ❯

have been meeting customers wherever 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 – to help businesses capitalize on the … are looking for a highly skilled Data Solution 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 a key role in shaping data strategies … to pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and proposals to clients and More ❯

mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home … sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. We are a Microsoft Azure focused consultancy and services company, specializing in App Innovation, Data, AI, and Cloud Infrastructure solutions. Recognized as a Fabric Featured Partner by Microsoft, we build and deploy data platforms … for our customers on Fabric, Databricks and Synapse analytics, offering the opportunity to shape cutting-edge data initiatives for a wide range of clients. About the role Our Data Architects play a crucial role in shaping and optimising our customers' data landscape, ensuring robust, scalable, governed solutions, built on the latest Azure technology using best practice process More ❯

Principal Data Consultant (Snowflake/Matillion) Join to apply for the Principal Data Consultant (Snowflake/Matillion) role at Snap Analytics Continue with Google Continue with Google Principal Data Consultant (Snowflake/Matillion) 1 week ago Be among the first 25 applicants Join to apply for the Principal Data Consultant (Snowflake/Matillion) role at Snap Analytics Get … authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You’ll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You’ll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You’ll work closely with our clients … mentor and coach team members, fostering a culture of continuous learning and collaboration. What you'll need to succeed... Experience 10+ years of professional experience working on data and analytics projects, with expertise in data migration, integration, and cloud-based data warehousing for enterprise organisations. Proven experience designing data architectures on platforms like AWS, Azure, or GCP. Technical More ❯

innovation, collaboration, recognition and inclusivity and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines … real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai … inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision, Language, and Speech) is expected, alongside a developer-oriented mindset (code-first) and experience with integrating AI workloads into secure, scalable Azure environments. The role requires deep platform knowledge - especially across Azure security, identity and networking (e.g., IAMs, Private Endpoints More ❯

authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You'll work closely with our clients … mentor and coach team members, fostering a culture of continuous learning and collaboration. What you'll need to succeed Experience 10+ years of professional experience working on data and analytics projects, with expertise in data migration, integration, and cloud-based data warehousing for enterprise organisations. Proven experience designing data architectures on platforms like AWS, Azure, or GCP. Technical … ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control, CI/CD pipelines, and containerisation tools (e.g., Git, Jenkins, Docker, Kubernetes). Strong knowledge of relational and non-relational databases. Leadership & Commercial More ❯

and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta Lake, Azure Synapse Strong SQL knowledge Strong communication More ❯

structured datasets that can be utlised for reporting purpose in a performent, secure way. Key responsibilities: Taking full ownership of assigned projects and BAU tasks. Maintaining current pipelines within Azure ADF and Synapse Analytics. Build a process of transforming raw data from various CRM system into a harmonised and curated layer. Develop the usage of event driven topics … practice within the Data Team. Developing and creating data science tools to give a deeper understanding of the customer book. Recording and updating of work on Project Management System (Azure DevOps). Own and enhance the BAU runbook for engineering operations Develop the instrumentation and monitoring of IT automated tasks Taking a lead in the engineering function of the … years' Cloud-based Data Engineering experience, Previous experience of formal methodologies with data engineering Experience leading or working in an engineering team or function Previous experience of using the Azure Stack Experience working in a proactive analytics function Experience of working in the Utilities sector Experience leading technical projects Skills & Technologies required: Proficiency in cloud-based data engineering More ❯

and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta Lake, Azure Synapse Strong SQL knowledge Strong communication More ❯