13 of 13 Remote ETL Jobs in the West Midlands

this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection

9.4 (DI) and SAS Viya 3.x (SAS Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding

9.4 (DI) and SAS Viya 3.x (SAS Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding

Build and optimise data pipelines , databases and cloud data platforms. Develop AZure Data Factory/Fabric Data Factory pipelines and robust ETL/ELT processes. Work with SQL, APIs, event streams and diverse data formats. Contribute to solutions across data warehouses, lakes, lakehouses and semantic models . Ensure best practice

complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of ETL Experience of data warehousing and data lake solutions. Good experience working in an Agile environment. This is an excellent opportunity to join a company

ideal candidate will have the following: Deep technical expertise across cloud-based data platforms (Microsoft Fabric, AWS, Informatica) and data architecture. Strong experience managing ETL/ELT processes, platform operations, and incident troubleshooting. Proven ability to build platform roadmaps, optimise costs, and deliver measurable ROI. Excellent vendor management and stakeholder

scalable, reusable integration capabilities for delivery teams and projects. Strong knowledge of enterprise integration patterns and tools (APIs, ESB, messaging queues, event-driven architectures, ETL/ELT). Familiarity with cloud-native, hybrid, and middleware integration solutions (e.g., Azure Integration Services). Understanding of delivery methodologies (waterfall, agile, lean

scalable, reusable integration capabilities for delivery teams and projects Strong knowledge of enterprise integration patterns and tools (APIs, ESB, messaging queues, event-driven architectures, ETL/ELT). Familiarity with cloud-native, hybrid, and middleware integration solutions (e.g., Azure Integration Services). Understanding of delivery methodologies (waterfall, agile, lean

scalable, reusable integration capabilities for delivery teams and projects Strong knowledge of enterprise integration patterns and tools (APIs, ESB, messaging queues, event-driven architectures, ETL/ELT). Familiarity with cloud-native, hybrid, and middleware integration solutions (e.g., Azure Integration Services). Understanding of delivery methodologies (waterfall, agile, lean

Platform and Engineering Manager, the candidate will be required to design and manage data warehousing solutions, including the development of data models, ETL processes and data integration pipelines for efficient data consolidation, storage and retrieval, providing technical guidance and upskilling for the team, and conducting monitoring and optimisation activities. … #TeamAldi today! Your New Role: Project Management of demands and initiatives Lead the design and implementation of data warehousing Design and develop data models, ETL processes and data integration pipelines Complete Data Engineering end-to-end ownership of demand delivery Provide technical guidance for team members Providing

join as the expert within Azure Databricks. You'll help to upskill our teams knowledge of Databricks, get involved in data modelling and ETL pipeline development, integrations, and performance tuning. This is an ever evolving project as the business becomes more and more data driven and your knowledge of Databricks … platform project.What you’ll be doing: Leading the design and implementation of a new Databricks-based data warehousing solution Designing and developing data models, ETL pipelines, and data integration processes Large scale data processing using PySpark Monitoring, tuning, and optimising data platforms for reliability and performance Upskilling the wider team

Lead Engineer with a strong data engineering skills (ETL pipeline creation, data warehousing, data visualization etc) and a solid understanding of Database Architecture & Modelling is sought by a high growth PE backed scale up based in Birmingham. With recent investment driving global expansion this Lead Engineer will play a crucial … flexible working alongside a collaborative, autonomous team culture. This Lead Engineer should have most of the following key skills - Strong Data engineering skills including ETL pipeline creation, data warehousing and visualization - Strong database architecture understanding - PostgreSQL, MongoDB, MS SQL - Event sourcing/messaging - Kafka, CQRS etc - Experience working

bring hands-on experience owning and delivering Azure-based data platforms (Databricks, Synapse), alongside strong technical capability in designing and implementing data ingestion pipelines (ETL/ELT) and introducing event-driven architectures (Kafka) to support scalable, real-time solutions.Our client offers a competitive salary of £120,000–£140,000 , plus … Kafka (essential). Extensive background in regulated industries (finance or banking preferred). Strong experience in large-scale data engineering projects , designing and developing ETL pipelines and leading cloud migration initiatives . Expertise in data migration from SQL Server to Azure Cloud Services .