1 to 25 of 58 Azure Synapse Analytics Jobs in the North West

/LeadData Engineer to join their growing data team. This role will be instrumental in designing, building, and maintaining a modern data warehouse and data infrastructure to support advanced analytics and reporting needs for a fast-growing organisation. Key Responsibilities: Design, develop, and maintain scalable data pipelines using SQL and Python (PySpark) . Ingest, transform, and curate data from … multiple sources into Azure Data Lake and Delta Lake formats. Build and optimize datasets for performance and reliability in Azure Databricks . Collaborate with analysts and business stakeholders to translate data requirements into robust technical solutions. Implement and maintain ETL/ELT pipelines using Azure Data Factory or Synapse Pipelines . Design and develop a fit … policies. Monitor and troubleshoot production jobs and processes. Preferred Skills & Experience: Strong proficiency in SQL for data transformation and performance tuning. Solid experience with Python , ideally using PySpark in Azure Databricks . Hands-on experience with Azure Data Lake Storage Gen2 . Understanding of data warehouse concepts , dimensional modelling , and data architecture . Experience working with Delta Lake More ❯

Social network you want to login/join with: Junior Data Engineer - Growing Data & Analytics Consultancy Location: Greater Manchester (Hybrid) Salary: £40,000 - £45,000 with excellent benefits (dependent on level) About the Company: The company is an ambitious, innovative, and rapidly expanding data consultancy dedicated to delivering impactful data solutions for a diverse client portfolio. The culture is … to-end data pipelines using Python, Databricks, PySpark, and SQL. Integrate data from various sources including APIs, Excel, CSV, JSON, and databases. Manage data lakes, warehouses, and lakehouses within Azure cloud environments. Apply data modelling techniques such as Kimball methodologies, star schemas, and data warehouse design principles. Build and support ETL workflows using tools like Azure Data Factory … Synapse, Delta Live Tables, dbt, SSIS, etc. Automate infrastructure deployment with Terraform, ARM, or Bicep. Collaborate on report development and visualisation with Power BI. Manage version control and deployment pipelines using Git, Azure DevOps, or GitHub. Use scripting (PowerShell/Bash) for automation tasks. Contribute to the development of applications and APIs supporting data workflows. Promote best practices More ❯

offices are in Haywards Heath, West Sussex; Salford Quays, Manchester; and Guernsey . We also welcome remote applications from further afield. Core skills required: Data & Technology: Passion for data, analytics, and technology, with experience in metadata-driven pipelines. Self-starter: Ability to triage workloads and work autonomously to achieve goals. Mentorship: Ability to mentor and inspire colleagues. Data Lifecycle … visualizations in tools like PowerBI. Experience & Knowledge: Extensive experience in end-to-end cloud data solutions, preferably in Azure. Experience with big data technologies like Databricks and/or Synapse Analytics using PySpark. Solution design experience across the data lifecycle. Proficiency with Azure services such as Data Factory, Azure Functions, ADLS Gen2, Key Vault, Synapse SQL, and Azure SQL. Programming skills in Python, C#, and PowerShell. Understanding of infrastructure as code. Experience with data modeling, testing, and operational support documentation. Excellent communication skills and a proactive approach to data value extraction. Experience with CI/CD methods and working in agile, self-managing teams. Strong coaching skills and a passion for helping others More ❯

Data Engineering Consultant (all levels) We’re working with a globally recognised consultancy that delivers cutting-edge digital, data, and analytics solutions to some of the most complex infrastructure projects across the UK and beyond. With a strong commitment to technical excellence, inclusion, and client impact, they partner with high-profile organisations to help them unlock the full potential … at various seniority levels — from experienced engineers to those ready to step into leadership roles. The Role As a Data Engineering Consultant, you will: Collaborate with stakeholders across development, analytics, and business teams to define and implement components of the data landscape in line with strategic data goals Translate business and end-user needs into robust technical solutions, delivery … new technologies, and drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python More ❯

job poster from Xcede Associate Director – Data & AI Recruitment Data Engineering Consultant (all levels) We’re working with a globally recognised consultancy that delivers cutting-edge digital, data, and analytics solutions to some of the most complex infrastructure projects across the UK and beyond. With a strong commitment to technical excellence, inclusion, and client impact, they partner with high … at various seniority levels — from experienced engineers to those ready to step into leadership roles. The Role As a Data Engineering Consultant, you will: Collaborate with stakeholders across development, analytics, and business teams to define and implement components of the data landscape in line with strategic data goals Translate business and end-user needs into robust technical solutions, delivery … new technologies, and drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python More ❯

Opportunity to Forge your growth as Analytics Engineer at Forge Holiday Group! Salary: Circa £45,000 per annum Work Days & Hours: Monday to Friday, 9am to 5:30pm, 37.5 hours per week Working Policy: Flexible hybrid-working policy, with a minimum of two days a week from our Chester head office Team: Data and Analytics Reports to: Lead … Analytics Engineer About Us The Forge Holiday Group encompasses Sykes Holiday Cottages, Forest Holidays, UKcaravans4hire and Bachcare in New Zealand. We unite under four core company values that serve as the foundation of everything we do: Being One Team, Owning It, Communicating Honestly. Learning, Growing, and Innovating. These values ensure we remain true to our original ethos and ensure … we stay true to our Customers, Owners and Colleagues alike. About the Analytics Engineer Role: As Analytics Engineer, your role will be pivotal in driving the delivery of analytics across the Forge Holiday Group. Reporting to a Lead Analytics Engineer, you will be responsible for bringing robust, efficient, scalable and integrated data models & products to life. More ❯

an interesting insight into projects spanning a variety of industries, which may include telecoms, insurance, healthcare, finance and mortgages across various sectors. The Role We are seeking a skilled Analytics Engineer to join our Data Engineering team, ideally as a permanent consultant opportunity. We can move fast and adapt our selection period to our needs. With this in mind … immediate or quick availability is ideal, alongside permanent rights to work are essential, alongside other factors we'll consider. This is a hands-on Analytics Engineering role where you'll be at the heart of data-driven decisions. Day to day you will be transforming raw data in clean, reliable and performant data models using dbt within Google Cloud … and proactively resolving any data, model, or scheduling issues in collaboration with other project owners. • Use version control (Git) and CI/CD to manage the entire lifecycle of analytics code. • Collaborate with cross-functional teams to understand data requirements and implement robust, well-documented and performant dbt models that serve as a single source of truth for business More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies About the Role We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting … in a data role. At least 3 years' professional experience developing data pipelines and ETLs using Microsoft products. Minimum 1 year of experience working with cloud-native technologies like Azure Data Factory. Demonstrable experience of delivering technical work within time and budget constraints. Good understanding of data security best practices. Experience in supporting ETLs or data pipelines crucial to … a production system. Experience working in a cross-functional team to deliver technical solutions. Desirable Skills Experience with SQL Server, SSIS, Azure Data Factory, and Azure SQL. Experience with Cloud and Infrastructure as Code, particularly in an Azure setting using Bicep. Understanding of DevOps practices and the associated benefits. Skill in database testing including unit, performance, stress 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

model (2 days in office, 3 from home) Pension contribution Great opportunities for career progression And many more Role & Responsibilities Design and deliver solutions using MS Fabric, ADF, ADL, Synapse, Databricks, SQL, and Python. Work closely with a variety of clients to gather requirements and deliver solutions. Be willing to engage and assist in pre-sales activities, bids, proposals … Microservices and Data Pipelines. Assist in building out, developing, and training the data engineering function. What do I need to apply Strong MS data engineering expertise (Fabric, ADF, ADL, Synapse, SQL) Expert use of Databricks Strong Python experience Consultancy experience Leadership experience My client are looking to book in first stage interviews for next week and slots are already … no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. TRG are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the More ❯

ensure high data quality, security, and regulatory compliance across our data ecosystem. You will collaborate with cross-functional teams to embed governance into our cloud-based data architecture and analytics processes. Key Responsibilities: Develop and implement enterprise-level data governance frameworks, standards, and operating models, aligned with business objectives and compliance requirements. Collaborate with data engineering and platform teams … to integrate data governance within Databricks and Azure environments, including Data Lake, Synapse, and Purview. Define and enforce data classification, access management, and lineage tracking using Azure-native and third-party tools. Lead the Data Governance Council, facilitate stakeholder engagement, and ensure alignment across business, IT, compliance, and security teams. Establish data quality metrics, rules, and monitoring … mechanisms across cloud data pipelines and lakehouses. Champion the use of metadata management, data catalogs (e.g., Azure Purview, Unity Catalog), and standardized business glossaries. Provide governance oversight for data sharing and consumption in Databricks notebooks, Power BI reports, and machine learning workflows. Drive awareness and adoption of governance policies through training, documentation, and data literacy programs. Ensure data governance More ❯

Architect role at ANS Group Get AI-powered advice on this job and more exclusive features. Are you passionate about designing and architecting cutting-edge data technology solutions in Azure? Do you thrive in driving excellence and innovation? Join our team as a Data Solution Architect and lead our Centre of Excellence service to new heights! What You'll … in data cataloguing, modelling, warehousing, and analytics. Security & Governance: Proven understanding of security and governance principles. Tools: Proficiency in PowerPoint, Tableau, and Power BI. Cloud Services: Strong understanding of Azure or AWS, Infrastructure as Code (IaC), and cloud services (IaaS, SaaS, PaaS). Frameworks: Understanding of Well Architected frameworks, security principles, and Agile/Waterfall project lifecycle. Database Knowledge … Proficiency in SQL and NoSQL databases. Design & Implementation: Experience with three or more of the following: Azure Synapse, Azure SQL DB, Cosmos DB, Mongo DB, Redshift, S3, Stream Analytics, Kinesis, Azure Data Factory, IoT Hub, Azure ML Studio, SageMaker Modelling, Azure Data Lake Gen2, HD Insight. Desirable Skills Experience in Fabric and Synapse More ❯

while proactively enhancing data throughput, scalability, and resource efficiency. Platform & Tool Expertise: Provide expert support for data tools, platforms, and technologies, including relational/NoSQL databases, cloud platforms (AWS, Azure, Google Cloud), data warehousing, and ETL frameworks, while mentoring junior team members on best practices. Automation & Monitoring: Implement and support automated monitoring systems to detect data anomalies, system failures … . o Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem-solving. o In-depth experience with cloud data platforms (AWS, Azure, Google Cloud) and Microsoft services (e.g., Azure Storage, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Microsoft Fabric, Microsoft Purview). o Deep More ❯

while proactively enhancing data throughput, scalability, and resource efficiency. Platform & Tool Expertise: Provide expert support for data tools, platforms, and technologies, including relational/NoSQL databases, cloud platforms (AWS, Azure, Google Cloud), data warehousing, and ETL frameworks, while mentoring junior team members on best practices. Automation & Monitoring: Implement and support automated monitoring systems to detect data anomalies, system failures … . o Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem-solving. o In-depth experience with cloud data platforms (AWS, Azure, Google Cloud) and Microsoft services (e.g., Azure Storage, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Microsoft Fabric, Microsoft Purview). o Deep More ❯

a pioneering technology team based in Manchester. Following a period of significant growth, investment and a cloud transformation, we are inviting you to join our success story! As our Azure Data Platform Engineer, you will be responsible for:- Designing, building, and maintaining scalable data solutions on Microsoft Azure. Designing and implementing scalable data pipelines using Azure Data Factory … Databricks, Synapse Analytics, and other Azure services. Leading technical workstreams and supporting project delivery. Acting as the subject-matter expert for cloud-based data engineering. Ensure data governance, security, and compliance standards are met. Monitoring and troubleshooting data platform performance and issues. Automate data ingestion, transformation, and integration processes. Document technical solutions and maintain best practices. If … you possess a combination of some of the following skills, then LETS TALK! Proven experience with Azure data services (SQL, Data Factory, Data Lake, Synapse, Databricks, Azure SQL and Cosmos DB). Strong proficiency in designing and operating scalable data solutions and pipelines. Familiar with Cloud security, performance optimisation and monitoring tools (Azure Monitor, Log Analytics More ❯

of machine learning models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and expertise in MLOps frameworks, we want to hear from you. Bring your excellent communication, problem-solving, and organizational skills to our team and … great flexibility in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling … and engineering infrastructure to embed scaled machine learning solutions. You'll use CI/CD pipelines, manage the deployment and version management of large numbers of data science models (Azure DevOps). You'll support the implementation of Machine Learning Ops on cloud (Azure & Azure ML. Experience with Databricks is advantageous.) You'll protect against model degradation More ❯

strategies for AI readiness, improving data literacy and enhancing real-time reporting. Our Microsoft Data Engineering Practice delivers end-to-end data platforms and engineering pipelines across Microsoft Fabric, Azure Synapse Analytics and Azure Data Bricks, alongside strategic guidance and governance support across a wide range of industries. As an expert Data Engineer Consultant, you’ll … and implementing data pipelines, data lakes, and data warehouses. Strong knowledge of ETL processes, data modelling, and cloud-based solutions. Excellent stakeholder management and communication skills. Experience working with Azure Data Services, SQL, Python, and/or other relevant technologies. Ability to thrive in a fast-paced environment and manage multiple projects simultaneously. Desirable Qualifications: Microsoft Certified: Fabric Analytics … Microsoft Certified: Fabric Data Engineer Associate (DP-700) What to do next If you’re passionate about data, and you’re looking to join a leading data and analytics company based in the UK, you could find your dream role at Dufrain. Please submit your CV highlighting your relevant experience and certifications. Applicants must have the right to work 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 ❯

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 ❯