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 … the Role: We are currently looking for a Senior Data Engineer to manage teams on client projects. Your Profile: Proven experience as a Data Engineer with a focus on Azure cloud services. Experience of managing small teams whilst also being hands-on. Strong database fundamentals including SQL/TSQL, performance and schema design. Experience architecting and building data applications … using Azure, specifically a Data Warehouse and/or Data Lake. Technologies: Azure Data Factory, AzureSynapseAnalytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations. ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary 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 ❯
along with fantastic communication and stakeholder engagement skills as this role will be client facing. Skills and experience: Proven experience as a Lead Data Engineer with a focus on Azure cloud services. Experience of managing small teams whilst also being hands-on. Strong database fundamentals including SQL/TSQL, performance and schema design. Experience architecting and building data applications … using Azure, specifically a Data Warehouse and/or Data Lake. Technologies : Azure Data Factory, AzureSynapseAnalytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations. ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary … Proficiency in working with APIs and integrating them into data pipelines. Strong programming skills in Python. Experience of data wrangling such as cleansing, quality enforcement and curation e.g. using AzureSynapse notebooks, Databricks, etc. Experience of data modelling to describe the data landscape, entities and relationships. Experience with data migration from legacy systems to the cloud. Experience with More ❯
Stockton-on-Tees, Cleveland, England, United Kingdom
Reed
role, you will lead a small team of Data Engineers and Analysts, driving the design, development, and maintenance of scalable, secure, and high-performance data solutions on the Microsoft Azure platform. You will provide hands-on technical leadership while shaping the strategic direction of the data infrastructure to support analytics, reporting, and business intelligence across the organisation. Location … Stockton on Tees Department: Data & Analytics Employment Type: Full-Time/Permanent/Hybrid Key Responsibilities Lead and mentor a team of Data Engineers/Analysts, fostering a culture of innovation, collaboration, and continuous improvement. Design, build, and optimise data pipelines, data models, and data warehouses using AzureSynapseAnalytics, Azure Data Factory, and Azure … pipelines and infrastructure. Collaborate with stakeholders and analysts to deliver impactful dashboards and reports using Power BI. Provide technical guidance and support, acting as a subject matter expert on Azure data tools and best practices. Develop and maintain ETL processes using SQL, SSIS, and Azure Data Factory. Integrate data from diverse sources including internal databases, APIs, and third More ❯
role, you will lead a small team of Data Engineers and Analysts, driving the design, development, and maintenance of scalable, secure, and high-performance data solutions on the Microsoft Azure platform. You will provide hands-on technical leadership while shaping the strategic direction of the data infrastructure to support analytics, reporting, and business intelligence across the organisation. Location … Stockton on Tees Department: Data & Analytics Employment Type: Full-Time/Permanent/Hybrid Key Responsibilities Lead and mentor a team of Data Engineers/Analysts, fostering a culture of innovation, collaboration, and continuous improvement. Design, build, and optimise data pipelines, data models, and data warehouses using AzureSynapseAnalytics, Azure Data Factory, and Azure … pipelines and infrastructure. Collaborate with stakeholders and analysts to deliver impactful dashboards and reports using Power BI. Provide technical guidance and support, acting as a subject matter expert on Azure data tools and best practices. Develop and maintain ETL processes using SQL, SSIS, and Azure Data Factory. Integrate data from diverse sources including internal databases, APIs, and third More ❯
