8 of 8 Data Lake Jobs in Newcastle upon Tyne

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 unlimited opportunities digital offers. Our reputation … Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. About 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 … applications using Azure, specifically a Data Warehouse and/or Data Lake. Technologies : Azure Data Factory, Azure Synapse Analytics, 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 More ❯

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 unlimited opportunities digital offers. Our reputation … Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. About 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 … applications using Azure, specifically a Data Warehouse and/or Data Lake. Technologies : Azure Data Factory, Azure Synapse Analytics, 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 More ❯

core platform for data engineering and analytics. Develop and optimise data models, ETL/ELT pipelines, and data processing frameworks using Databricks, Delta Lake, and other Azure data services. Ensure data solutions align with business objectives, regulatory requirements, and best practices in data governance, security, and compliance. … data architectures to technical and non-technical stakeholders. Expertise in data modelling (conceptual, logical, and physical). Data warehousing and data lake architecture for high-performance analytics. ETL/ELT pipeline development and optimisation to support large-scale data processing. Data integration across structured and unstructured sources … management and governance to maintain data quality and lineage. Deep expertise in Microsoft Azure cloud services, particularly for data analytics and engineering Databricks, including Delta Lake architecture, optimisation, and advanced data processing. Our Benefits Hybrid working – 2 days in the office and 3 days working from home 25 days annual leave, rising to 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 of their data assets. Due to continued growth and demand for their data services, they are expanding their specialist engineering team and seeking talented Data Engineering Consultants at various seniority levels — from experienced engineers to those ready to step into leadership roles. The Role As a Data Engineering Consultant … 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, Spark, and ideally DAX Familiarity with CI More ❯

pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the 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 … 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 of their data assets. Due to continued growth and demand for their data services, they are expanding their specialist engineering team and seeking talented Data Engineering Consultants at … 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, Spark, and ideally DAX Familiarity with CI More ❯

efficiently and effectively. The team works collaboratively to offer specialist advice, best practice and technology to all areas of our business specifically designed for our global reach. The Data Management Specialist (Level 3 Support) is responsible for providing advanced technical and functional support for enterprise data management solutions, ensuring high availability, integrity, optimisation, and performance of … Mott MacDonald (MM) critical data assets. Key duties and responsibilities include: Serve as the technical escalation point for data management support, ensuring timely and effective resolution of complex data-related issues. Maintain, monitor, and improve data management systems, ensuring compliance with governance policies and regulatory requirements. Support the implementation of data quality frameworks, data lifecycle management, and metadata management initiatives. Work collaboratively with IT teams, business stakeholders, and external vendors to enhance data management capabilities. Provide expert-level troubleshooting, root cause analysis, and performance optimisation for data platforms, such as Azure SQL databases, Fabric Warehouse and Onelake, Databricks, and Azure Data More ❯

data, analytic and AI services. Your involvement will span the entire data lifecycle: from orchestrating data ingestion into our Azure Data Lake, designing and developing sophisticated data models for analytics, to deploying Azure Logic Apps and Function Apps for process automation. With tools like Databricks, Data Factory … environment. Develop and implement data ingestion solutions on the Azure platform, ensuring scalability, reliability, and performance. Leveraging technologies such as Azure Data Factory, Databricks, Delta Lake, and Python. Design and maintain robust ETL/ELT processes to integrate data from various sources into Azure data services. Help to implement DataOps practices … will fit right into this role if you: Can demonstrate advanced knowledge of cloud services, preferably the broader Fabric or Databricks suite of products; or Azure Data Lake, Azure Data Factory, Azure Logic Apps, Azure Function Apps, alongside a skillset incorporating data modelling techniques and business data requirement comprehension, documentation and More ❯

Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the … latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Job responsibilities You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions You will develop … approaches and can apply data security and privacy strategy to solve business problems You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.) Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in More ❯