501 to 525 of 808 ETL Jobs in London

market data formats (MDP, ITCH, FIX, SWIFT, proprietary exchange APIs) and market data providers Strong programming skills in Python (Go/Rust is a nice to have) Experience with ETL processes and data pipeline architecture for cleaning, normalising, and validating large datasets Commercial experience building and maintaining large-scale time series or historical market data systems in financial services Strong More ❯

of paid digital reporting within a media agency or client-side dealing with large volumes of data •Understanding of media industry, agency background, marketing •Experienced in tools and methodologies (ETL, Data Management, Agile, Kanban, Data visualisation principles) •Experience of using PowerBI to build dashboards and a clear understanding of the development project life cycle, from gathering requirements to the roll More ❯

of paid digital reporting within a media agency or client-side dealing with large volumes of data •Understanding of media industry, agency background, marketing •Experienced in tools and methodologies (ETL, Data Management, Agile, Kanban, Data visualisation principles) •Experience of using PowerBI to build dashboards and a clear understanding of the development project life cycle, from gathering requirements to the roll More ❯

in the Data Model - and you'll define the data platforms roadmap. You will also have good experience around ADF, Azure DataBricks, and Snowflake - plus your knowledge will include ETL processes, Data Governance, Data Warehouses, Data Marts, and Data Lakes. Key Skills & Experience: Product Owner Data Platforms Roadmap User Stories Snowflake Azure Data Factory/Azure Data Bricks Data Models More ❯

Proven experience delivering complex data solutions in a technical data engineering role, ideally in fast-moving or regulated environments. Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP). AWS is preferred Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions). Strong understanding of data More ❯

Proven experience delivering complex data solutions in a technical data engineering role, ideally in fast-moving or regulated environments. Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP). AWS is preferred Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions). Strong understanding of data More ❯

L and build key finance models enabling real-time insights for senior leadership. Build and maintain commercial dashboards using Power BI for executive-level consumption. Maintain SQL databases and ETL processes to ensure the integrity of all datasets You will work with large volumes of finance data to surface trends, risks, and opportunities. Facilitation and creation of operational budgets, including More ❯

L and build key finance models enabling real-time insights for senior leadership. Build and maintain commercial dashboards using Power BI for executive-level consumption. Maintain SQL databases and ETL processes to ensure the integrity of all datasets You will work with large volumes of finance data to surface trends, risks, and opportunities. Facilitation and creation of operational budgets, including More ❯

Proven experience delivering complex data solutions in a technical data engineering role, ideally in fast-moving or regulated environments. Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP). AWS is preferred Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions). Strong understanding of data More ❯

success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Familiarity with data warehousing, ETL/ELT processes, and analytics engineering Programming proficiency in Python, Scala or Java Experience operating in a cloud-native environment (e.g. AWS, GCP, or Azure) Excellent stakeholder management and communication More ❯

Clear communication with both technical and non-technical stakeholders is essential. End-to-end solution Architecture experience with information systems and order architecture. Data - Data Architecture, Data Warehousing & Lakes, ETL/ELT Pipelines, Customer Data Platforms (CDPs), Data Governance & Compliance, or, Analytics & BI. Integration - API Design & Management, Middleware & ESB, Event-Driven Architecture, BSS/OSS Integration, Partner Ecosystem Integration, CI More ❯

Clear communication with both technical and non-technical stakeholders is essential. End-to-end solution Architecture experience with information systems and order architecture. Data - Data Architecture, Data Warehousing & Lakes, ETL/ELT Pipelines, Customer Data Platforms (CDPs), Data Governance & Compliance, or, Analytics & BI. Integration - API Design & Management, Middleware & ESB, Event-Driven Architecture, BSS/OSS Integration, Partner Ecosystem Integration, CI More ❯

Clear communication with both technical and non-technical stakeholders is essential. End-to-end solution Architecture experience with information systems and order architecture. Data - Data Architecture, Data Warehousing & Lakes, ETL/ELT Pipelines, Customer Data Platforms (CDPs), Data Governance & Compliance, or, Analytics & BI. Integration - API Design & Management, Middleware & ESB, Event-Driven Architecture, BSS/OSS Integration, Partner Ecosystem Integration, CI More ❯

Clear communication with both technical and non-technical stakeholders is essential. End-to-end solution Architecture experience with information systems and order architecture. Data - Data Architecture, Data Warehousing & Lakes, ETL/ELT Pipelines, Customer Data Platforms (CDPs), Data Governance & Compliance, or, Analytics & BI. Integration - API Design & Management, Middleware & ESB, Event-Driven Architecture, BSS/OSS Integration, Partner Ecosystem Integration, CI More ❯

Clear communication with both technical and non-technical stakeholders is essential. End-to-end solution Architecture experience with information systems and order architecture. Data - Data Architecture, Data Warehousing & Lakes, ETL/ELT Pipelines, Customer Data Platforms (CDPs), Data Governance & Compliance, or, Analytics & BI. Integration - API Design & Management, Middleware & ESB, Event-Driven Architecture, BSS/OSS Integration, Partner Ecosystem Integration, CI More ❯

Clear communication with both technical and non-technical stakeholders is essential. End-to-end solution Architecture experience with information systems and order architecture. Data - Data Architecture, Data Warehousing & Lakes, ETL/ELT Pipelines, Customer Data Platforms (CDPs), Data Governance & Compliance, or, Analytics & BI. Integration - API Design & Management, Middleware & ESB, Event-Driven Architecture, BSS/OSS Integration, Partner Ecosystem Integration, CI More ❯

Clear communication with both technical and non-technical stakeholders is essential. End-to-end solution Architecture experience with information systems and order architecture. Data - Data Architecture, Data Warehousing & Lakes, ETL/ELT Pipelines, Customer Data Platforms (CDPs), Data Governance & Compliance, or, Analytics & BI. Integration - API Design & Management, Middleware & ESB, Event-Driven Architecture, BSS/OSS Integration, Partner Ecosystem Integration, CI More ❯

standards. Strong communication and stakeholder management skills, with experience engaging both technical and business teams. Experience working in an Agile environment, collaborating across multidisciplinary teams. Desirable Skills: Experience with ETL processes and tools for data integration. Familiarity with data warehouse architecture and technologies. Knowledge of public sector data challenges and working in complex organisations. What’s on Offer Competitive salary More ❯

standards. Strong communication and stakeholder management skills, with experience engaging both technical and business teams. Experience working in an Agile environment, collaborating across multidisciplinary teams. Desirable Skills: Experience with ETL processes and tools for data integration. Familiarity with data warehouse architecture and technologies. Knowledge of public sector data challenges and working in complex organisations. What’s on Offer Competitive salary More ❯

standards. Strong communication and stakeholder management skills, with experience engaging both technical and business teams. Experience working in an Agile environment, collaborating across multidisciplinary teams. Desirable Skills: Experience with ETL processes and tools for data integration. Familiarity with data warehouse architecture and technologies. Knowledge of public sector data challenges and working in complex organisations. What’s on Offer Competitive salary More ❯

functional areas such as PP, SD, MM, FI/CO. • MDM and Data Migration: Experience in delivering MDM and data migration programs using both standard and innovative approaches. • SAP ETL Technologies: 8-10 years of experience with recognized enterprise SAP ETL technologies such as SAP Data Services and Migration Cockpit, including migrating data to SAP S/4HANA and/ More ❯

collaborative approach to PR review and architecture discussions Desirable (but not essential): Event-driven architecture (e.g., SNS, SQS, EventBridge) AI/LLM integration (Python experience welcome) Data pipelines and ETL workflow knowledge Experience scaling cloud services and optimising for performance and cost in serverless environments Location & Flexibility: This is a London-based role , and while the team values in-person More ❯

collaborative approach to PR review and architecture discussions Desirable (but not essential): Event-driven architecture (e.g., SNS, SQS, EventBridge) AI/LLM integration (Python experience welcome) Data pipelines and ETL workflow knowledge Experience scaling cloud services and optimising for performance and cost in serverless environments Location & Flexibility: This is a London-based role , and while the team values in-person More ❯

analytical field - Experience writing complex Excel VBA macros - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience with SQL or ETL PREFERRED QUALIFICATIONS - Experience working with Tableau - Experience using very large datasets Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. More ❯

report creation, modification and optimization. Debug report issues, unblock workflows and communicate with other teams and stakeholders by providing regular status updates. Tools used include: SQL (Oracle and Redshift) ETL tools (internal) Excel Tableau Report scheduling tools (internal) BASIC QUALIFICATIONS - 4+ years of experience as an analyst or engineer in the data/BI space - Experience with data visualization using More ❯