3 analytics engineer jobs found in London

Data Engineer - AWS Redshift - 4 months, remote, to £500 p/d outside IR35 A Data Engineer is required to work on the migration of data from a 3rd party CRM into AWS Redshift. You will have extensive data engineering experience and have migrated data, ETL pipelines into AWS Redshift. You will have good knowledge of SQL, Python, Power BI and data analytics with strong communication skills. The role will involve working as part of a small team, liaising with the 3rd party supplier, migrating data, data pipelines into AWS redshift and training the team in Redshift. As a Data Engineer you will have the following: Data engineering AWS Redshift Data lake Data bricks Data ETL pipelines SQL Python Power BI Data analytics Excellent communication skills 4 months initially. Data Engineer, Datawarehouse Developer, BI Developer, data warehouse, business intelligence, MI, management information, AWS, Amazon Web Services, Redshift, Red shift, SQL, SQL Server,...

Platform Engineer - Outside IR35 - Remote About the Role We are seeking a highly skilled Platform Engineer with strong expertise in Microsoft Azure and Azure Databricks to design, build, and maintain scalable, secure, and high-performing data platforms. You will play a critical role in enabling data engineering, analytics, and AI workloads by developing robust cloud-native infrastructure and data services. This role sits at the intersection of cloud infrastructure, DevOps, and data engineering, ensuring platform reliability, performance, and governance across the organization. Key Responsibilities Design, implement, and maintain cloud-native platform solutions in Microsoft Azure Build, optimize, and manage data platforms using Azure Databricks Develop Infrastructure as Code (IaC) using tools such as Terraform, Bicep, or ARM templates Implement CI/CD pipelines for data and platform deployments Ensure high availability, scalability, security, and cost...

Role Overview We are seeking a skilled Data Engineer with strong expertise in Microsoft Azure and Databricks to design, build, and optimize scalable data pipelines and analytics solutions. You will play a key role in building modern data platforms that support business intelligence, advanced analytics, and machine learning initiatives. This role requires hands-on experience with cloud-native data architectures, distributed processing, and best practices in data engineering. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and related Azure services Build and optimize data workflows using Apache Spark within Databricks Develop and maintain data lakes and lakehouse architectures using Azure Data Lake Storage Implement data modeling solutions for analytics and reporting Ensure data quality, governance, and security best practices Collaborate with data analysts, data scientists, and business...