326 to 350 of 621 ETL Jobs in the West Midlands

reporting team. This role is ideal for someone with strong technical expertise in SQL, Python, BigQuery, and Excel, and a passion for building robust ETL pipelines and integrating data from diverse sources. You will play a key role in transforming … raw data into curated datasets that power dashboards, reports, and strategic decision-making. Key Responsibilities: Design, develop, and maintain ETL pipelines to ingest, transform, and load data from various sources into centralized data platforms. Build and optimize data models and data marts in BigQuery to support analytics and reporting needs. … experience with Google BigQuery or similar cloud data warehouses. Advanced skills in Microsoft Excel, including pivot tables, formulas, and data visualization. Solid understanding of ETL concepts, data integration, and data warehousing best practices. Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus. More ❯

that meet business goals. Architecture & Engineering Excellence: Design and implement scalable, cost-effective data architectures across AWS, Azure, and GCP; build and maintain robust ETL/ELT pipelines and implement CDC and delta load frameworks to enhance data integration and performance. Platform Modernization & SAP Expertise: Lead complex migrations from legacy More ❯

that meet business goals. Architecture & Engineering Excellence: Design and implement scalable, cost-effective data architectures across AWS, Azure, and GCP; build and maintain robust ETL/ELT pipelines and implement CDC and delta load frameworks to enhance data integration and performance. Platform Modernization & SAP Expertise: Lead complex migrations from legacy More ❯

that meet business goals. Architecture & Engineering Excellence: Design and implement scalable, cost-effective data architectures across AWS, Azure, and GCP; build and maintain robust ETL/ELT pipelines and implement CDC and delta load frameworks to enhance data integration and performance. Platform Modernization & SAP Expertise: Lead complex migrations from legacy More ❯

that meet business goals. Architecture & Engineering Excellence: Design and implement scalable, cost-effective data architectures across AWS, Azure, and GCP; build and maintain robust ETL/ELT pipelines and implement CDC and delta load frameworks to enhance data integration and performance. Platform Modernization & SAP Expertise: Lead complex migrations from legacy More ❯

that meet business goals. Architecture & Engineering Excellence: Design and implement scalable, cost-effective data architectures across AWS, Azure, and GCP; build and maintain robust ETL/ELT pipelines and implement CDC and delta load frameworks to enhance data integration and performance. Platform Modernization & SAP Expertise: Lead complex migrations from legacy More ❯

that meet business goals. Architecture & Engineering Excellence: Design and implement scalable, cost-effective data architectures across AWS, Azure, and GCP; build and maintain robust ETL/ELT pipelines and implement CDC and delta load frameworks to enhance data integration and performance. Platform Modernization & SAP Expertise: Lead complex migrations from legacy More ❯

that meet business goals. Architecture & Engineering Excellence: Design and implement scalable, cost-effective data architectures across AWS, Azure, and GCP; build and maintain robust ETL/ELT pipelines and implement CDC and delta load frameworks to enhance data integration and performance. Platform Modernization & SAP Expertise: Lead complex migrations from legacy More ❯

that meet business goals. Architecture & Engineering Excellence: Design and implement scalable, cost-effective data architectures across AWS, Azure, and GCP; build and maintain robust ETL/ELT pipelines and implement CDC and delta load frameworks to enhance data integration and performance. Platform Modernization & SAP Expertise: Lead complex migrations from legacy More ❯

Stack for real-time monitoring and analysis of security events. Data Integration : Integrate various data sources into Elasticsearch, ensuring data quality and consistency through ETL processes. Incident Response : Investigate and respond to security incidents, leveraging Elastic SIEM capabilities to identify and mitigate threats. Performance Optimization : Monitor and optimize the performance 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯