101 to 125 of 500 ETL Jobs in the UK

communication skills and ability to work effectively in a remote setting. Nice to Haves: + Experience with SQL Server Integration Services (SSIS) or similar ETL tools. + Understanding of Authentication via SSO + Experience with Infrastructure as Code (Azure ARM/Bicep) What’s on Offer: + A fully remote more »

communication skills and ability to work effectively in a remote setting. Nice to Haves: + Experience with SQL Server Integration Services (SSIS) or similar ETL tools. + Understanding of Authentication via SSO + Experience with Infrastructure as Code (Azure ARM/Bicep) What’s on Offer: + A fully remote more »

communication skills and ability to work effectively in a remote setting. Nice to Haves: + Experience with SQL Server Integration Services (SSIS) or similar ETL tools. + Understanding of Authentication via SSO + Experience with Infrastructure as Code (Azure ARM/Bicep) What’s on Offer: + A fully remote more »

modify reports based on business requirements. Data Extraction and Transformation : Work with ETL (Extract, Transform, Load) processes to extract data from various sources. Transform and load data into SAP BO for reporting and analysis. more »

with excellent analytical and problem-solving abilities Expertise using modern data tools (SQL, Python) Snowflake and AWS experience preferred. Good knowledge of Data Warehouses, ETL pipelines Good understanding of Cloud-based environments – AWS and/or Azure Good appreciation of the modern software development lifecycle, CI/CD Benefits for more »

with excellent analytical and problem-solving abilities Expertise using modern data tools (SQL, Python) Snowflake and AWS experience preferred. Good knowledge of Data Warehouses, ETL pipelines Good understanding of Cloud-based environments AWS and/or Azure Good appreciation of the modern software development lifecycle, CI/CD Benefits for more »

environment requires a more robust structure so much of the role will focus around improving: - Data Governance - Data Warehousing - Developing and implementing automation processes - ETL activities - Advanced analytics (involving forecasting and predictive analytics) Clearly, these will not all be achieved by one single person, nor all at once but it more »

Be aware of industry standards, best practices, and trends. Provide feedback, advice, and informed opinion where appropriate. Requirements: SQL Server Azure: Azure SQL, DataFactory (ETL), Logic Apps, Event Grid, Key vaults, ARM templates (IAC), DevOps Pipelines (CI/CD) Power BI Git Dataverse SSIS KingswaySoft PowerShell Interested? If you think more »

with Real Time data analysis and financial systems (preferred). Knowledge of database design principles, performance optimization, and data modelling. Familiarity with data integration, ETL processes, and data warehousing. Excellent problem-solving skills and the ability to work effectively in a fast-paced environment. Strong communication and teamwork skills. A more »

Microsoft Windows and web services (IIS and Tomcat), CI/CD pipelines (Azure DevOps), and generating XML files Understanding of database design techniques, optimisation, ETL best practices, and dimensional modeling BSc/BA in Computer Science, Engineering, or related field This is a change to join a brilliant, established business more »

project technical deliverables. Essential Technical Skills Minimum 2-3 years’ experience in developing & supporting Azure data focused systems Experience in traditional Data Warehouse technologies (ETL, SQL Database, Reporting) Knowledge of Dimension Modelling Strong SQL skills, experience in writing complex SQL queries Knowledge of Azure Data Lake, Data Factory, Databricks and more »

DAX - good experience for data manipulation and transformation SQL - good experience for querying and analysis SSAS (Tabular) - this would be beneficial but not essential ETL experience Experience working in an Agile environment Any experience with Azure or the wider Power Platform would be a bonus but not essential Excellent communication more »

DAX - good experience for data manipulation and transformation SQL - good experience for querying and analysis SSAS (Tabular) - this would be beneficial but not essential ETL experience Experience working in an Agile environment Any experience with Azure or the wider Power Platform would be a bonus but not essential Excellent communication more »

with immediate effect. Data Engineer Responsibilities Design and implement scalable data architectures for large-scale web-scraping tools. Develop and optimize data pipelines for ETL from online platforms, including textual and unstructured data, and REST APIs. Test, validate, and secure acquired data to ensure accuracy and quality. Work closely with more »

DAX - good experience for data manipulation and transformation SQL - good experience for querying and analysis SSAS (Tabular) - this would be beneficial but not essential ETL experience Experience working in an Agile environment Any experience with Azure or the wider Power Platform would be a bonus but not essential Excellent communication more »

venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. Architect data models and schemas in BigQuery to support analytics, reporting, and business intelligence more »

is an exciting opportunity to contribute to the success of a forward-thinking property management company. Responsibilities: Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory. Optimize data storage and retrieval processes to ensure scalability, reliability, and performance. Collaborate with cross-functional teams to understand data more »

career. Candidates must have the following Strong Developer experience on C# Azure, Logic Apps Database experience SQL Server Data Factory/Data Warehousing/ETL Skills required: Experience of developing technology solutions for large, complex business change programmes Experience of working on MS Azure Platform Experience of MS DevOps (VSTS more »

your problem-solving skills and creativity. Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and more »

your problem-solving skills and creativity. Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and more »

and data security standards. Expertise in designing and implementing data platforms, data lakes, data warehouses, and self-service analytics solutions. Proficiency in data modelling, ETL processes, data integration, and data visualisation tools. Previous Cloud Migration experience essential (either Synapse, BigQuery, Redshift) Expert level experience working with Azure and or Certified more »

pipelines. As well as being an expert in cloud platform, you’ll have a strong background in Data Ingestion and Integration, designing and implementing ETL pipelines on various technologies, Data Quality monitoring and a rounded understanding of data operations. Aviva believes strongly in experimentation leading to industrialisation and we are more »

to tackling one of society's greatest challenges: affordable care. What you’ll need Strong hands-on experience building and maintaining data pipelines and ETL processes on a cloud platform Demonstrated experience delivering data products in a modern BI technology or open source data frameworks Strong SQL skills and experience more »

their career. Qualifications Essential Criteria: Deep technical expertise in Data Engineering including In-depth knowledge of Data Engineering practices, including Data Storage, Data Visualization, ETL, Data Integration & Migration, Data Warehousing, and Business Intelligence. Familiarity with Data Engineering security, data ethics, and legal/compliance frameworks. Proven experience in driving innovation more »

organization. Developing and implementing data models and algorithms to support data science and machine learning initiatives . Technical Requirements Proven track record leading complex ETL and Data Infrastructure projects, as well as designing and building data intensive applications and services. Experience with data processing and distributed computing frameworks such as more »