151 to 175 of 547 ETL Jobs in England

accessibility through Python-based solutions. Key Requirements Strong programming skills in Python and JavaScript. Solid experience with SQL and database testing. Familiarity with data warehousing and ingestion (e.g., Snowflake, ETL/ELT). Proven ability to translate data into business insights. Clear communication skills for technical and non-technical audiences. Experience with data visualisation tools like Power BI or Tableau 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 ❯

objectives and digital innovation goals. - Manage JIRA project tracking, maintain Confluence documentation, and oversee code design for efficient development and collaboration. - Lead technical design and implementation of data models, ETL processes, and visualisation tools (BigQuery, Airflow, SSIS, Tableau, SSRS). - Define and implement best practices in data modeling, including data warehouse and lakehouse integration (Medallion Architecture). Skills and Experience 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 ❯

Life Cycle (SDLC). Required Skills Strong proficiency in data analysis tools such as Tableau, Power BI, R, Python, SQL, Oracle, Microsoft SQL Server. Experience with data cleaning and ETL processes Excellent analytical skills with the ability to solve complex problems effectively. Experience in database design and management. Strong communication skills with the ability to present findings clearly to stakeholders. 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 ❯

management, incentive compensation, deal desk, lead management, and contact centre operations . Use SQL and Python (Pandas, PySpark) to analyse data, automate workflows, and generate insights. Design and manage ETL/ELT processes, data models, and reporting automation . Leverage Databricks, Snowflake, and GCP to enable scalable reporting and analytics. Partner with leadership to identify opportunities for new tools, automation More ❯

innovation. What you'll be doing: Designing and building scalable data pipelines to support analytics, reporting, and machine learning. Leading the implementation of Azure data solutions and ensuring robust ETL/ELT processes. Defining architecture strategies that allow for scalable, flexible development. Embedding best practices in DevOps, CI/CD, and engineering standards . Mentoring and growing a high-performing 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 ❯

Requirements Proficiency in Python, with a focus on clean, maintainable code (bonus for experience with type hints, linters, and testing frameworks like pytest) Solid understanding of data engineering fundamentals: ETL/ELT, schema evolution, batch processing Experience or strong interest in Apache Spark for distributed data processing Familiarity with AWS data tools (e.g., S3, Glue, Lambda, EMR) Strong communication skills More ❯

data into commercial insight. What We're Looking For Proven experience in a Senior BI or data leadership role, ideally within financial services Strong technical expertise in data warehousing, ETL, and data visualisation tools (ideally Power BI) Hands-on experience with Azure data technologies Excellent stakeholder management and communication skills. A strategic mindset with the ability to influence and lead More ❯

data into commercial insight. What We're Looking For Proven experience in a Senior BI or data leadership role, ideally within financial services Strong technical expertise in data warehousing, ETL, and data visualisation tools (ideally Power BI) Hands-on experience with Azure data technologies Excellent stakeholder management and communication skills. A strategic mindset with the ability to influence and lead More ❯

Python, C#, or similar languages. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data pipelines, and database management. Working knowledge of ML/AI concepts and technologies, including model deployment and monitoring. Strong problem-solving skills and the ability to work across disciplines More ❯

Python, C#, or similar languages. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data pipelines, and database management. Working knowledge of ML/AI concepts and technologies, including model deployment and monitoring. Strong problem-solving skills and the ability to work across disciplines 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 ❯

a team what to do, run some whiteboard design sessions (realising you've used a permanent marker, you quickly leave the room) Qualifications Data Warehousing, Data Modelling, Database Design, ETL AWS Redshift, AWS Glue, S3, SQL Server, Power BI Cloud/DevOps AWS, Docker, Terraform Bitbucket, Bamboo, CI/CD deploy pipeline Agile, pair programming, code reviews Additional Information Were More ❯

large datasets. Experience working in environments where data is drawn from multiple complex sources (e.g. data warehouses, data lakes, or cloud platforms). A good understanding of data modelling, ETL, and governance . Strong stakeholder engagement skills confident presenting insights and simplifying complex data. Why join? Be part of a major transformation project where your input will shape the future More ❯

Experience building data lakes and modern data platforms from the ground up. Proficiency with Python, SQL, and orchestration tools such as Airflow or dbt. Strong understanding of data modelling, ETL/ELT processes, and distributed systems. Knowledge of data security, governance, and compliance best practices. Excellent communication skills, with the ability to work collaboratively and influence stakeholders. A growth mindset More ❯

cross-functional teams to ensure data-driven decision-making is embedded across the business. What We're Looking For: Strong proficiency in SQL (essential). Experience with data migration, ETL, and pipeline development (e.g., Airflow, Fabric, Azure). Familiarity with APIs (REST API, JSON), data mapping, validation, and quality control. Ability to design, build, and maintain dashboards (e.g., Power BI More ❯

cross-functional teams to ensure data-driven decision-making is embedded across the business. What We're Looking For: Strong proficiency in SQL (essential). Experience with data migration, ETL, and pipeline development (e.g., Airflow, Fabric, Azure). Familiarity with APIs (REST API, JSON), data mapping, validation, and quality control. Ability to design, build, and maintain dashboards (e.g., Power BI More ❯

Key Responsibilities:- Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data analysts and business stakeholders to understand data requirements. Optimize data workflows for performance and reliability. Ensure data quality, integrity, and security across systems. Work with large datasets using tools like Hadoop, Spark, and SAS. Integrate data from various sources including IBM Mainframe systems. Troubleshoot and More ❯

performance tuning and optimization of data processes. Skills required: Proven experience as a Data Architect working within Azure. Expertise in Azure Databricks and Azure Synapse. Strong understanding of Datamodelling, ETL processes, and data warehousing concepts. Proficiency in SQL, Python, and other relevant programming languages. Experience with data governance, data quality, and data security best practices. Excellent problem-solving skills and More ❯

collaboration abilities. GCP certifications such as Associate Cloud Engineer or Professional Cloud Developer. Experience with CI/CD automation on cloud platforms. Background in working with large datasets and ETL pipelines. More ❯

and Performant SQL. Experience analysing 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. Experience working in an Agile environment. This is an excellent opportunity to join a company as it continues to grow and expand More ❯