1 to 25 of 34 Permanent Azure Synapse Analytics Jobs in the East Midlands

Job Description Senior Data Engineer (Azure Cloudera ERP) Nottingham/WFH to £80k Are you a senior data technologist seeking an opportunity to join a growing tech company where you can make a real difference and progress your career? You could be progressing your career in a senior, impactful … role at a rapidly growing Microsoft Solution Partner, that provides a range of Data Analytics solutions to big name clients. As a Senior Data Engineer, you'll work with clients to integrate them with the core platform that combines data vault technology, Microsoft Layers components, and common data structures … to streamline and accelerate modern data programmes. Responsibilities include: Implementing data flows to connect operational systems, data for analytics, and business intelligence systems. Documenting source-to-target mappings. Re-engineering manual data flows to enable scaling and repeatability. You will use a range of technologies including Python, PySpark, Cloudera More ❯

data lakehouse, data governance, Big Data, AI/ML, reporting and data visualisation. Knowledge of IT infrastructure, networking, security and cloud technologies such as Azure (Azure integration and data Services, Azure Data Factory, Azure Synapse Analytics, Azure Databricks Collaborated with Data Engineers to … IAM) Concepts: Understanding of directory services, identity lifecycle management, and privilege management. Familiarity with technologies like REST, SCIM, Active Directory, LDAP, and cloud platforms (Azure, AWS, GCP). Knowledge of automation tools and concepts for streamlining verification processes. Ability to create clear and effective visualizations to communicate data insights. More ❯

Sunday Times Top 100 Best Companies to Work For? Cooper Parry are seeking a skilled and proactive Data Engineer to join our growing Data & Analytics team. You will play a critical role in designing, building, and maintaining robust, scalable data infrastructure on the Azure and Microsoft stack, enabling … enterprise-wide analytics, reporting, and data science initiatives. This role offers the opportunity to shape the foundation of our future "lab and factory" model of analytics and ML delivery. A day in the life of a CP Data Engineer... Design and build end-to-end data pipelines and … integrations using Azure Data Factory, Azure Synapse and related tools Monitor data pipeline schedules and resolve issues related to job failures, data delays, or quality problems Develop and support a Lakehouse architecture, including structured and unstructured data ingestion, processing, and consumption layers Implement and optimise semantic models More ❯

and consistency throughout the process. This role is ideal for someone with a strong technical background in data engineering and experience with Microsoft/Azure data tools, particularly in a CRM or Dynamics/D365 environment. In the medium term, there will be scope and opportunity to build modern … cloud-native data solutions using Azure Synapse or Microsoft Fabric. Key Responsibilities As the sole Data Engineer for this programme of work, perform ETL (Extract, Transform, Load) processes to migrate data into D365 CE modules (e.g., Sales, Customer Service, Field Service). Work with data from legacy CRM … Engineering experience, ideally with some prior exposure to a Dynamics 365 CE (Sales, Customer Service, Field Service) or Microsoft Dataverse environment. Experience with Microsoft Azure technologies and data services (e.g., Azure Data Factory, Azure Synapse Analytics). Strong hands-on experience with ETL tools such More ❯

About the role North Northamptonshire Council are working to modernise their data management and visualisation processes. We are working to deliver our data analytics strategy. This role will support the design and delivery of the data warehousing, data infrastructure and (where required) the migration of existing data sources (data … Excel power query. The current technology stack is predominantly based on Microsoft SQL databases, and we are focussing our data strategy on the Microsoft Azure, Fabric and Power BI toolsets. What will you be doing? The Key Responsibilities of the role will be: Understand and document the data landscape … support decision making around required toolsets and processes Define and build required data warehouse solution/s to meet the requirements of the data analytics strategy Lead any required data migrations from on-premises or 3rd party hosted databases/repositories Build and support data-pipelines using ETL tools More ❯

and ensure that the most appropriate actions are taken when problems arise in the data pipeline or systems. Skillset Required dbt (database build tool) Azure Data Platform Azure Data Factory Azure Synapse Power BI SQL Server Analysis Services (SSAS) SQL Server Integration Services (SSIS) SQL Server … Reporting Services (SSRS) Spark, Python– an advantage Fabric – an advantage Hands-on experience with: Azure Data Lake Azure SQL DB Azure Synapse Cosmos DB Oracle, Postgres, or SQL Server Expertise in database tuning, query optimisation, and diagnostics. Data migration experience is essential, with a focus on More ❯

error-handling Writing unit tests, git Version control Awareness of reliability patterns in ETL pipelines Techniques and tools for sanitizing data prior to use Azure data certifications Azure Synapse/Fabric: Synapse-link, Fabric Link, on-demand SQL engine Use of python in Jupyter notebooks for … data processing Azure storage technologies and cost/performance characteristics Power BI, DAX, data flows Data Governance tools (e.g. Microsoft Purview) Call Experis IT asap on 0121 712 8715 for more information! Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function More ❯

solution design. Experience working for a consultancy or agency. Experience with data engineering tools (SQL, Python, Spark). Hands-on experience with cloud platforms (Azure, AWS, GCP). Hands-on experience with data platforms (Azure Synapse, Databricks, Snowflake). Ability to translate clients' business needs into technical … solutions. Ability to attend & contribute to keynote talks & events. Customer engagement and relationship management skills. Understanding of BI and analytics tools (Power BI, Tableau). Desirable: Experience of Microsoft Fabric. Experience of Microsoft Dynamics. Experience with data governance and compliance frameworks. Proficiency in AI/ML frameworks (TensorFlow, PyTorch More ❯

Tool (DBT): Minimum 1 year’s hands-on project delivery experience. Microsoft Fabric: Minimum 1 year of practical experience working with Fabric-based solutions. Azure Ecosystem: At least 2 years of experience delivering business solutions using: Azure Data Factory/Synapse Power BI Azure SQL Server … of dimensional modelling (Kimball). Familiarity with other techniques such as Data Vault 2.0. Development Experience: Minimum 3 years in database and/or analytics systems development and deployment. Strong understanding of Python and Spark for data transformation and pipeline development. Consulting & Client-Facing: Experience working on consultancy-led … expectations. Comfortable running advisory and enablement sessions (online training, mentoring, and client coaching). Likeable, engaging personality with a collaborative, proactive approach. Desirable Skills Azure Data Lake (Azure Storage) Familiarity with additional database technologies such as Oracle, Cosmos DB, and MySQL Experience with BI/reporting tools like More ❯

ll Do: Lead end-to-end data migration projects from legacy systems to D365. Design, build, and assure robust migration pipelines using SSIS, KingswaySoft, Azure Data Factory, and more. Define best practices, mentor data engineers, and drive continuous improvement. Engage with stakeholders, lead workshops, and translate business needs into … with fault-tolerant ETL pipelines and data governance tools. ?? Bonus Points For: Experience migrating from platforms like Salesforce, Raisers Edge, Hubspot, etc. Familiarity with Azure Synapse, Power BI, Python (Jupyter), and Microsoft Purview. Azure Data certifications and a passion for innovation in data engineering. ?? The Offer: Starting More ❯

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 … 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 … 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 More ❯

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 … 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 … 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 More ❯

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 … 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 … 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 More ❯

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 … 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 … 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 More ❯

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 … 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 … 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 More ❯

per annum Our award-winning client, based in Newark, Nottinghamshire is seeking a highly skilled Data Warehouse Engineer to join their Data and Analytics team. This is a full time, permanent position with the opportunity for hybrid working. THE ROLE As a Data Warehouse Engineer , you will have the … techniques. Strong analytical and problem-solving skills with an ability to work in agile development environment independently. Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift, BigQuery, or similar). Ability to work independently and manage multiple projects simultaneously. Excellent communication and collaboration skills. THE BENEFITS As More ❯

create reusable solutions. Helping to improve support frameworks and the way the team operates. What You’ll Need Technical Skills: Hands-on experience with Azure Data Platforms — think Data Lake, SQL DB/Warehouse, and Synapse. Good knowledge of BI tools like Power BI, Tableau, QlikView, or Google Data More ❯

ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing. An expert working knowledge of Python and Azure Synapses. 2 - 3 years experience of working within a data analyst/engineering capacity. This is a fantastic opportunity for an individual looking to More ❯

ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing. An expert working knowledge of Python and Azure Synapses. 2 - 3 years experience of working within a data analyst/engineering capacity. This is a fantastic opportunity for an individual looking to More ❯

T-SQL, indexing, stored procedures, relational/dimensional modelling, data dashboards. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers and managers. Working across the full SQL development life-cycle including: design, development … documentation and testing. Advantageous Skills: Power BI, NoSQL, Azure Synapse, data visualisation tools, Data Lakes, streaming technologies, MDM, Git, DevOps pipelines. Benefits include: 25 days holiday (plus BHs) + pension + company bonus + More. More ❯

dashboards. Building/optimising data pipelines and integrations across cloud platforms. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers and managers. Working across the full SQL development life-cycle including: design, development … documentation and testing. Advantageous Skills: Power BI, NoSQL, Azure Synapse, data visualisation tools, Data Lakes, streaming technologies, MDM, Git, DevOps pipelines. Benefits include: £40k-50k Base (DOE) + 25 days holiday (plus BHs) + pension + company bonus + More. More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯