151 to 175 of 725 ETL Jobs in the UK excluding London

advanced DAX and data modeling). Excellent leadership, mentoring, and team management skills. Ability to communicate complex data concepts to non-technical stakeholders. Strong understanding of data warehousing and ETL processes. Desirable: Experience with Azure Data Factory or other cloud-based data integration tools. Familiarity with advanced analytics tools (Python, R) and machine learning concepts. More ❯

Domain is a must. Under 7 years of experience only. Permanent. Key Responsibilities Design, develop, and maintain data ingestion pipelines using open-source frameworks and tools Build and optimise ETL/ELT processes to handle small to large-scale data processing requirements Develop data models and schemas that support analytics, business intelligence and product needs Monitor, troubleshoot, and optimise data More ❯

Domain is a must. Under 7 years of experience only. Permanent. Key Responsibilities Design, develop, and maintain data ingestion pipelines using open-source frameworks and tools Build and optimise ETL/ELT processes to handle small to large-scale data processing requirements Develop data models and schemas that support analytics, business intelligence and product needs Monitor, troubleshoot, and optimise data More ❯

Domain is a must. Under 7 years of experience only. Permanent. Key Responsibilities Design, develop, and maintain data ingestion pipelines using open-source frameworks and tools Build and optimise ETL/ELT processes to handle small to large-scale data processing requirements Develop data models and schemas that support analytics, business intelligence and product needs Monitor, troubleshoot, and optimise data More ❯

at least one of: Front Office (Sales & Trading), Risk Management, or Finance. Strong programming in Python, Java and SQL (Rust a plus). Proven experience building streaming and batch ETL/ELT pipelines at scale. Strong understanding of market/trade data lifecycles and time series concepts. Experience with AWS and cloud-native data services. Excellent communication and stakeholder management More ❯

at least one of: Front Office (Sales & Trading), Risk Management, or Finance. Strong programming in Python, Java and SQL (Rust a plus). Proven experience building streaming and batch ETL/ELT pipelines at scale. Strong understanding of market/trade data lifecycles and time series concepts. Experience with AWS and cloud-native data services. Excellent communication and stakeholder management More ❯

at least one of: Front Office (Sales & Trading), Risk Management, or Finance. Strong programming in Python, Java and SQL (Rust a plus). Proven experience building streaming and batch ETL/ELT pipelines at scale. Strong understanding of market/trade data lifecycles and time series concepts. Experience with AWS and cloud-native data services. Excellent communication and stakeholder management More ❯

resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

process from conception through to completion and launch.SQL Developer Key skills:* SQL Server* Cloud platforms, ideally Azure* Data pipeline tools, SSIS/Spark* Data warehousing and data modelling principles* ETL* MS Fabric* PythonYou will be a motivated SQL Developer with good communication skills and have prior experience within a similar position. The successful SQL Developer should have strong problem solving More ❯

with Microsoft Fabric, Power BI, and cloud-native platforms. In-depth knowledge of AI/ML technologies and their application in cloud environments (Azure would be ideal) Proficiency in ETL/ELT processes, data integration, and engineering tools. Hands-on experience with Python, Airflow, Snowflake, Databricks, and Spark The values and ethos of our business Innovation with real purpose and More ❯

Skills Minimum 5 years working in a cloud environment using data engineering tools on a variety of complex products. Python Semantic Models Azure Data Factory Azure Synapse SQL Server ETL/ELT Database Design Data Warehousing Datalake/Lakehouse For a full consultation on this exciting new opportunity, get in touch with Arc IT today More ❯

and modelling teams with reliable, high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready More ❯

and modelling teams with reliable, high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready More ❯

and modelling teams with reliable, high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready More ❯

design, delivery, and optimisation Contributing to major national infrastructure and security programmes with real impact What We’re Looking For Active DV clearance (essential) Strong background in data engineering, ETL, and data pipeline development Experience with AWS or Azure cloud technologies Excellent coding skills in Python, SQL, or Scala Understanding of data warehousing, modelling, and streaming technologies Confident working in More ❯

integrity. Skills & Experience Expertise in dimensional modelling and strong understanding of Third Normal Form data models. Demonstrated experience across conceptual, logical, and physical data architectures. Familiarity with data integration, ETL, and data transformation patterns. Hands-on experience with metadata architecture and master data management frameworks. Solid understanding of data governance, lineage, and stewardship concepts. Experience working with cloud data platforms More ❯

integrity. Skills & Experience Expertise in dimensional modelling and strong understanding of Third Normal Form data models. Demonstrated experience across conceptual, logical, and physical data architectures. Familiarity with data integration, ETL, and data transformation patterns. Hands-on experience with metadata architecture and master data management frameworks. Solid understanding of data governance, lineage, and stewardship concepts. Experience working with cloud data platforms More ❯

dbt, AWS Glue, AWS Lake Formation, Apache Spark, Amazon Redshift) Strong understanding of data modeling, ELT design patterns, data governance, and security best practices Bonus . Experience with reverse ETL tools (e.g., Census) Knowledge of data privacy regulations (GDPR, ISO 27001) Experience supporting customer-facing analytics features in a multi-tenant SaaS environment Experience building data pipelines for AI and More ❯

integrity. Skills & Experience Expertise in dimensional modelling and strong understanding of Third Normal Form data models. Demonstrated experience across conceptual, logical, and physical data architectures. Familiarity with data integration, ETL, and data transformation patterns. Hands-on experience with metadata architecture and master data management frameworks. Solid understanding of data governance, lineage, and stewardship concepts. Experience working with cloud data platforms More ❯

enhance team efficiency and data quality. Skills & Experience Strong background in software development and technical leadership. Expertise in C#, .Net, SQL Server, SSIS, and SSAS. Experience in data integration, ETL development, and data warehouse environments. Previous exposure to financial or insurance systems highly desirable. Strong analytical and problem-solving skills with the ability to trace data flow and resolve issues. More ❯

dbt, AWS Glue, AWS Lake Formation, Apache Spark, Amazon Redshift) Strong understanding of data modeling, ELT design patterns, data governance, and security best practices Bonus . Experience with reverse ETL tools (e.g., Census) Knowledge of data privacy regulations (GDPR, ISO 27001) Experience supporting customer-facing analytics features in a multi-tenant SaaS environment Experience building data pipelines for AI and More ❯

dbt, AWS Glue, AWS Lake Formation, Apache Spark, Amazon Redshift) Strong understanding of data modeling, ELT design patterns, data governance, and security best practices Bonus . Experience with reverse ETL tools (e.g., Census) Knowledge of data privacy regulations (GDPR, ISO 27001) Experience supporting customer-facing analytics features in a multi-tenant SaaS environment Experience building data pipelines for AI and More ❯

design, delivery, and optimisation Contributing to major national infrastructure and security programmes with real impact What We’re Looking For Active DV clearance (essential) Strong background in data engineering, ETL, and data pipeline development Experience with AWS or Azure cloud technologies Excellent coding skills in Python, SQL, or Scala Understanding of data warehousing, modelling, and streaming technologies Confident working in More ❯

or integration engineering. Strong proficiency with AWS cloud-native services. Solid SQL skills and scripting experience (Python preferred). Expertise in data modelling and mapping complex transformations. Familiarity with ETL/ELT tools and streaming technologies (Kafka, Kinesis). Experience with CI/CD pipelines and infrastructure as code (Terraform or CloudFormation). Excellent communication skills – able to translate business More ❯