51 to 75 of 100 ETL Jobs in the North East

Key aspects of the role include: Data Pipeline Development: Architect, develop, and optimise data extraction, transformation, and loading (ETL) processes for high-volume healthcare data. Integration of NHS Systems Data: Work directly with NHS data sources and ensure seamless integration of systems like UDAL, NCDR, SUS+, HES, and ODS into … and ODS—and to address the unique challenges these datasets present. Data Engineering Proficiency: Advanced proficiency in building and maintaining robust data pipelines using ETL tools and frameworks. Familiarity with data warehousing concepts and experience in developing scalable, high-performance data architectures. Technical Expertise: Strong command of SQL and scripting More ❯

and tools Required Skills & Experience: Strong proficiency in data conversion tools and techniques Ability to analyse, manipulate and transform large data sets Experience with ETL (Extract, Transform, Load) processes Knowledge of data integration and migration best practices Attention to detail and ability to ensure data accuracy and completeness Excellent problem More ❯

with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems.. Bright Purple is an equal opportunities employer: we are proud to work with clients who share More ❯

with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems.. If you have the skills and desire for this, then please email your CV to Bright More ❯

would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would be offering More ❯

would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would be offering More ❯

major teams in sports such as American football, soccer, NBA, Formula 1, and Olympic events. Key Responsibilities: Design and build large-scale data warehouses, ETL pipelines, and reporting platforms that are robust and efficient. (Looking at going down Snowflake or BigQuery) Utilize your expertise in backend languages; the tech stack More ❯

major teams in sports such as American football, soccer, NBA, Formula 1, and Olympic events. Key Responsibilities: Design and build large-scale data warehouses, ETL pipelines, and reporting platforms that are robust and efficient. (Looking at going down Snowflake or BigQuery) Utilize your expertise in backend languages; the tech stack More ❯

with precision. Role Highlights The Backend Python Engineer will... – Develop robust Python APIs and microservices powering user-facing and internal tools – Engineer high-volume ETL pipelines for transforming vast, complex data sets – Integrate 3rd-party APIs to enrich and automate key workflows – Collaborate across functions, including DevOps and ML, to More ❯

with precision. Role Highlights The Backend Python Engineer will... – Develop robust Python APIs and microservices powering user-facing and internal tools – Engineer high-volume ETL pipelines for transforming vast, complex data sets – Integrate 3rd-party APIs to enrich and automate key workflows – Collaborate across functions, including DevOps and ML, to More ❯

to security policies. • Develop and enforce GCP security hardening measures (network segmentation, access controls, encryption, GDPR/ISO 27001 compliance). • Design and implement ETL pipelines for marketing data into BigQuery for Looker. • Optimise BigQuery data models and schemas for Looker exploration and reporting. • Implement robust monitoring, logging, and alerting More ❯

to security policies. • Develop and enforce GCP security hardening measures (network segmentation, access controls, encryption, GDPR/ISO 27001 compliance). • Design and implement ETL pipelines for marketing data into BigQuery for Looker. • Optimise BigQuery data models and schemas for Looker exploration and reporting. • Implement robust monitoring, logging, and alerting More ❯

with data models, data mining, and segmentation techniques Knowledge of programming languages (minimum Python & SQL) Hands-on experience with SQL database design Understanding of ETL, serverless and cloud computing (Google Cloud Platform preferred) Additional Information Publicis Media has fantastic benefits on offer to all of our employees. In addition to More ❯

security across all processes. Collaborate with stakeholders to understand data requirements and deliver efficient solutions. Monitor and troubleshoot performance issues in data pipelines and ETL processes. Contribute to the continuous improvement of data engineering best practices. Essential Skills & Experience Strong experience with SQL for data extraction, transformation, and querying. Hands … on experience with Microsoft Azure, including Azure Data Factory, Synapse Analytics & Azure Data Lake Solid understanding of data warehousing concepts and ETL/ELT pipelines. Ability to work independently in a remote-first environment. Desirable Skills Experience with Python for scripting and data manipulation. Familiarity with Azure Databricks. Background in More ❯

security across all processes. Collaborate with stakeholders to understand data requirements and deliver efficient solutions. Monitor and troubleshoot performance issues in data pipelines and ETL processes. Contribute to the continuous improvement of data engineering best practices. Essential Skills & Experience Strong experience with SQL for data extraction, transformation, and querying. Hands … on experience with Microsoft Azure, including Azure Data Factory, Synapse Analytics & Azure Data Lake Solid understanding of data warehousing concepts and ETL/ELT pipelines. Ability to work independently in a remote-first environment. Desirable Skills Experience with Python for scripting and data manipulation. Familiarity with Azure Databricks. Background in More ❯

with cross-functional teams across the business to ensure scalability, security and reliability of the infrastructure database. Responsibilities: Optimise and develop SQL queries to extract, transform and load (ETL) data efficiently. Ensure database reliability, scalability and security across the business. Contribute to migrations and improvements with cloud and on-premise … and database administration in previous roles. Proficient with SQL Server administration and Azure. Experience with programming on-premise and cloud database solutions. Experience with ETL processes and tools. Knowledge of project management methodologies, tools and development methodology. Please apply before the 30th May to be considered for the opportunity. Sellick More ❯

the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Free Certification Scheme (AWS More ❯

the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Free Certification Scheme (AWS More ❯

experience in SQL Server database administration. Strong understanding of high availability, backup, and recovery strategies. Proficient in writing and troubleshooting T-SQL. Experience with ETL tools (e.g. SSIS, Azure Data Factory, Informatica, Talend). Familiarity with version control and collaborative working in a support or project setting. Strong communication skills More ❯

skills, knowledge and experience will you need? A good understanding of modern data architectures e.g. Data Warehouses and Data Lakehouse, and an understanding of ETL/ELT processes. Experience of leading technical and non-technical stakeholder engagement to represent the user in all product and prioritisation decision making. Experience of More ❯

planning migrations, establishing client relationships, and understanding industry-specific requirements. You should have experience in designing and implementing SAP BW solutions, developing data models, ETL processes, security, documentation, performance optimization, troubleshooting, and collaboration with technical teams. Certification in relevant technologies and experience with SAP data tools are preferred. Connect to More ❯

interactive dashboards in Tableau Performance Monitoring & Reporting: Create detailed reports on portfolio performance, profitability, risk, and compliance metrics, and deliver them to relevant stakeholders. ETL & Data Pipelines: Work with Data Engineers to develop and optimise data pipelines for extracting, transforming, and loading (ETL) large datasets from various sources into relevant More ❯

interactive dashboards in Tableau Performance Monitoring & Reporting: Create detailed reports on portfolio performance, profitability, risk, and compliance metrics, and deliver them to relevant stakeholders. ETL & Data Pipelines: Work with Data Engineers to develop and optimise data pipelines for extracting, transforming, and loading (ETL) large datasets from various sources into relevant More ❯

cloud platforms (AWS, Azure, GCP), metadata management, or database administration (e.g., Microsoft Certified: Azure Data Engineer Associate, DAMA CDMP) are desirable. Proven experience with ETL tools, data integration, and API-based data exchange. Strong background in data governance, data quality management, and metadata management. Experience with ServiceNow, Azure Purview, and … and Level 2 support teams. Perform advanced database administration, including indexing, query tuning, backup and recovery, and security management. Support data integration processes (ETL, API connections) and troubleshoot failures in Azure data pipelines. Implement and maintain data governance standards, ensuring data accuracy, completeness, and consistency through the use of tools More ❯

cloud platforms (AWS, Azure, GCP), metadata management, or database administration (e.g., Microsoft Certified: Azure Data Engineer Associate, DAMA CDMP) are desirable. Proven experience with ETL tools, data integration, and API-based data exchange. Strong background in data governance, data quality management, and metadata management. Experience with ServiceNow, Azure Purview, and … and Level 2 support teams. Perform advanced database administration, including indexing, query tuning, backup and recovery, and security management. Support data integration processes (ETL, API connections) and troubleshoot failures in Azure data pipelines. Implement and maintain data governance standards, ensuring data accuracy, completeness, and consistency through the use of tools More ❯