1 to 25 of 488 Remote ETL Jobs in the UK

to data storage and processing systems. This includes automating data collection, cleaning, and integration processes to support analytics and reporting needs. Develop and optimize ETL processes: Create and enhance ETL (Extract, Transform, Load) processes to extract data from multiple sources, transform it into a usable format, and load it into … Perform regular database tuning, indexing, and query optimization to maintain high performance and reliability. Create and maintain documentation: Develop comprehensive documentation for data pipelines, ETL processes, and data architecture. Ensure that documentation is up-to-date, clear, and accessible to relevant stakeholders, facilitating knowledge sharing and continuity. Monitor and troubleshoot More ❯

considered for a strong candidate): ADLS, Databricks, Stream Analytics, SQL DW, Synapse, Databricks, Azure Functions, Serverless Architecture, ARM Templates, DevOps. Hands-on experience with ETL/ELT processes and data warehousing. Solid understanding of data security and compliance standards. Experience with DevOps practices and tools (e.g., CI/CD pipelines More ❯

Factory Azure Data Lake Familiarity with continuous integration, continuous delivery, agile methodologies, and Azure DevOps. Familiarity with optimizing strategies, pipeline architectures, data sets, and ETL/ELT processes. You will likely be Passionate about technology, including the Hymans chosen technology stack (Microsoft development stack, Azure Cloud computing, Data Science technologies More ❯

Data Engineer - FinTech Company - Newcastle (Tech Stack: Data Engineer, Databricks, Python, Azure, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) I’m working with a leading Software House in the FinTech industry, based in Newcastle, who are looking to hire a talented Data Engineer . This is a fantastic More ❯

scalability, robust data governance and optimal performance. Developing innovative solutions: Create PoCs and MVPs for Data & AI solutions focusing on pipeline automation, ELT/ETL processes, and deployment through enterprise data platforms. Crafting compelling user experiences: Blend user-centred design with storytelling to deliver impactful Gen AI/BI, WebApp More ❯

accessibility across the organisation. Key Skills & Experience: Strong hands-on experience with Azure Data Platform technologies (Synapse, Data Lakes, ADF) Expertise in data modelling, ETL/ELT pipeline development, and data integration Proficient in SQL and Python (ideally PySpark) Knowledge of tools such as Power BI, Microsoft Fabric, and DevOps More ❯

with machine learning and predictive analytics. Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud. Familiarity with data warehousing and ETL processes. Experience in a business or financial analysis environment. If you are passionate about data-driven decision-making and want to make an impact, we More ❯

beneficial skills (not essential): Experience with Power BI, Python, C#, Angular, Power Automate, or data science practices. Knowledge of optimizing data pipelines, architectures, and ETL/ELT processes. Experience provisioning APIs for data consumption. A detailed list of requirements is available upon request. What we offer: A competitive salary and More ❯

deliver solutions. Be willing to engage and assist in pre-sales activities, bids, proposals etc. Use key techniques such as Governance, Architecture, Data Modelling, ETL/ELT, Data Lakes, Data Warehousing, Master Data, and BI. Consistently utilise key processes in the engineering delivery cycle including Agile and DevOps, Git, APIs More ❯

organization to address their data needs, craft agile solutions, and continuously improve the data environment. What will you be doing? Design and implement efficient ETL processes for data extraction, transformation, and loading. Build real-time data processing pipelines using platforms like Apache Kafka or cloud-native tools. Optimize batch processing More ❯

strengthen our growing data practice. As a data engineer/scientist, you will: Data Engineering Focus: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize More ❯

strengthen our growing data practice. As a data engineer/scientist, you will: Data Engineering Focus: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize More ❯

strengthen our growing data practice. As a data engineer/scientist, you will: Data Engineering Focus: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize More ❯

analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play a key role in cloud migration projects, supporting the organization's transition to Azure-based More ❯

reporting. Requirements Proven experience with PowerBI and data visualisation. Ideally 5 years plus. Strong knowledge of data warehousing principles. Strong SQL expertise, understanding of ETL, DAX, Power Query. Ability to maintain and enhance semantic models. Knowledge of dimensional data modeling (Kimball), Data warehousing concepts, OLAP. Excellent analytical and problem-solving More ❯

plans What does Leidos need from me? Proven experience in front-end development with a focus on building data-driven applications. Experience working with ETL platforms Experience with Python and its numerical, data and machine learning libraries Experience of working in an agile software development environment Experience estimating task effort More ❯

experience in data engineering and/or platform development, ideally with experience working with complex or large datasets such as the census. Experience with ETL tools and processes Exhibit proficiency in programming and database query languages, in particular Python and SQL. Possess a good understanding of data engineering principles, data More ❯

large datasets efficiently. Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization More ❯

large datasets efficiently. Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization More ❯

such as Power BI, Tableau, QlikView etc. Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems. Extensive knowledge of ETL tools essential for building data pipelines effectively. Strong experience with cloud platforms like AWS, Azure, or Google Cloud The ability to build collaborative relationships with More ❯

such as Power BI, Tableau, QlikView etc. Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems. Extensive knowledge of ETL tools essential for building data pipelines effectively. Strong experience with cloud platforms like AWS, Azure, or Google Cloud The ability to build collaborative relationships with More ❯

Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding of data modeling, ETL frameworks, and big data technologies Experience working in financial services or regulated industries is a plus What’s on Offer A collaborative and inclusive work More ❯

Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding of data modeling, ETL frameworks, and big data technologies Experience working in financial services or regulated industries is a plus What’s on Offer A collaborative and inclusive work More ❯

This role is an opportunity to lead the build of bespoke data systems for our clients. Responsibilities: Design and implement scalable data pipelines and ETL processes using Azure and Databricks technologies including Delta Live Tables. Lead technical discussions with clients and stakeholders to gather requirements and propose solutions. Help clients More ❯

will be essential in aligning BI initiatives with strategic goals and identifying opportunities for business value through data. Key Responsibilities Develop, maintain, and optimise ETL processes using SQL Server Integration Services (SSIS). Design and implement analytical models using SQL Server Analysis Services (SSAS). Create intuitive dashboards and reports More ❯