1 to 25 of 292 Remote ETL Jobs in the UK

deliver measurable outcomes. Experience of working in environment where written and verbal communication are essential to delivery of outcomes. Desirable Awareness of data engineering concepts, including Data Warehousing or ETL processes. Exposure to deployment pipelines or CI/CD concepts, with a willingness to learn how code is tested and promoted into production environments. Familiarity with reporting and dashboarding tools More ❯

Senior Data Engineer We are seeking a highly skilled Data Engineer to focus on maintaining data streams and ETL pipelines within a cloud-based environment. The ideal candidate will have experience in building, monitoring, and optimizing data pipelines, ensuring data consistency, and proactively collaborating with upstream and downstream teams to enable seamless data flow across the organization. In this role … between 25%-50% of the time per month at the client's office, which is located in London. Key Responsibilities: Data Pipeline Development & Maintenance Build, maintain, and optimize scalable ETL/ELT pipelines using tools such as Dagster, or similar. Ensure high data availability, reliability, and consistency through rigorous data validation and monitoring practices. Collaborate with cross-functional teams to More ❯

data and analytics needs. Design and deploy end-to-end data solutions using Microsoft Fabric, encompassing data ingestion, transformation, and visualisation workflows. Construct and refine data models, pipelines, and ETL frameworks within the Fabric ecosystem. Leverage Fabric's suite of tools to build dynamic reports, dashboards, and analytical applications. Maintain high standards of data integrity, consistency, and system performance across More ❯

usage of the new platform. Manage and mentor a team of data engineers, fostering a culture of technical excellence and collaboration. Define and enforce best practices in data modelling, ETL/ELT processes, and pipeline monitoring. Work closely with stakeholders across analytics, pricing, operations, finance, and product to understand their data needs and ensure the platform meets them. Manage project More ❯

decision making for our customers and partners. Position Responsibilities: Integrate various data sources and systems through a data pipeline into a data warehouse. Maintain and improve a data warehouse Extract, Transform, Load (ETL) and Datamart. Quickly become familiar with Boeing Global IT-related processes to enable implementation of requests and discovery of opportunities to automate or otherwise improve processes. Develop More ❯

using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams More ❯

market. Working specifically with underwriting teams to support their BI processes. Write efficient DAX measures and calculated columns to support analytical requirements. Develop robust SQL queries, stored procedures, and ETL processes to source and transform data. Translate complex data requirements into scalable BI solutions. Collaborate with business users to gather requirements and deliver meaningful insights. Lead data governance and quality … . Experience working with Underwriting teams. Strong understanding of insurance-specific data models including premiums, claims, exposures, and bordereaux. Hands-on experience working with data warehouses, data marts, and ETL pipelines. Solid knowledge of relational databases (e.g., MS SQL Server, Azure SQL). Excellent problem-solving skills and ability to work independently or as part of a team. Strong stakeholder More ❯

market. Working specifically with underwriting teams to support their BI processes. Write efficient DAX measures and calculated columns to support analytical requirements. Develop robust SQL queries, stored procedures, and ETL processes to source and transform data. Translate complex data requirements into scalable BI solutions. Collaborate with business users to gather requirements and deliver meaningful insights. Lead data governance and quality … . Experience working with Underwriting teams. Strong understanding of insurance-specific data models including premiums, claims, exposures, and bordereaux. Hands-on experience working with data warehouses, data marts, and ETL pipelines. Solid knowledge of relational databases (e.g., MS SQL Server, Azure SQL). Excellent problem-solving skills and ability to work independently or as part of a team. Strong stakeholder More ❯

on experience with modern data stack tools including dbt, Airflow, and cloud data warehouses (Snowflake, BigQuery, Redshift) Strong understanding of data modelling, schema design, and building maintainable ELT/ETL pipelines Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code practices Familiarity with data visualisation tools (Tableau, PowerBI, Looker) and analytics frameworks Leadership & Communication Proven experience leading technical More ❯

time data streaming, batch data processing and data transformation processes Experience with core tools such as Data Factory, Databricks, Synapse, Kafka and Python Any exposure to data migration/ETL would be highly beneficial, with SQL/T-SQL, SSIS, SSRS and SSAS, as there is a large data migration project planned Any previous experience with setting up data governance … and processes would be highly beneficial Good proficiency in Power BI and Tableau Strong knowledge of data integration techniques and ETL/ELT processes Experience with data modelling, data warehousing, and data governance best practices More ❯

ensuring data quality, efficiency, and scalability. If you have a passion for data engineering and a desire to make a significant impact, we encourage you to apply! Job Responsibilities ETL/ELT Pipeline Development: Design, develop, and optimize efficient and scalable ETL/ELT pipelines using Python, PySpark, and Apache Airflow. Implement batch and real-time data processing solutions using More ❯

Gold layers), working with modern tools such as Databricks , dbt , Azure Data Factory , and Python/SQL to support critical business analytics and AI/ML initiatives. Key Responsibilities ETL Development : Design and build robust and reusable ETL/ELT pipelines through the Medallion architecture in Databricks . Data Transformation : Create and manage data models and transformations using dbt , ensuring More ❯

with relational SQL databases either on premises or in the cloud. Power platform experience is desirable. Experience delivering multiple solutions using key techniques such as Governance, Architecture, Data Modelling, ETL/ELT, Data Lakes, Data Warehousing, Master Data, and BI. A solid understanding of key processes in the engineering delivery cycle including Agile and DevOps, Git, APIs, Containers, Microservices and More ❯

with relational SQL databases either on premises or in the cloud. Power platform experience is desirable. Experience delivering multiple solutions using key techniques such as Governance, Architecture, Data Modelling, ETL/ELT, Data Lakes, Data Warehousing, Master Data, and BI. A solid understanding of key processes in the engineering delivery cycle including Agile and DevOps, Git, APIs, Containers, Microservices and More ❯

with data visualization tools such as Looker, ThoughtSpot, or Tableau. Possess highly proficient SQL skills for querying and manipulating large, complex datasets. Exhibit strong experience with data warehousing concepts, ETL/ELT processes, and various database technologies. Show knowledge in a relevant data engineering programming language like Python, Bash, or Django. Hold practical experience working with major cloud platforms, including More ❯

products. Work with the Group Architect to align team standards and processes to Causeway's and influence the evolution of Causeway's standards and processes. Essential experience Experience with ETL/ELT processes and frameworks. Experience with CI/CD pipelines and Infrastructure as Code and understanding SDLC principles of data engineering workflows. Previous background in a similar software engineering More ❯

and mentoring a team of data engineers, setting standards and best practices. Architecting and building end-to-end data solutions and streaming platforms. Designing and implementing data pipelines and ETL workflows using Pentaho BA. Creating engaging BI reports and dashboards using Power BI. Managing cloud-based data environments (AWS, Azure), ensuring scalability and resilience. Collaborating on project planning, risk management … environments. Essential experience includes: 5+ years in data engineering with leadership responsibilities. Deep expertise in AWS and/or Azure data platforms and services. Proficiency with Pentaho BA for ETL processes and data workflows. Strong skills in Power BI, Python, and Java. Agile development experience and a pragmatic, team-first approach. Excellent problem-solving and communication skills, including the ability … SSIS, AWS or Azure Data Factory. Familiarity with Hadoop, Jenkins, or DevOps practices including CI/CD. Cloud certifications (Azure or AWS). Knowledge of additional programming languages or ETL tools. This is a fantastic opportunity to take a leadership role on meaningful, large-scale government programmes while continuing to develop your skills and experience in an inclusive, innovative environment. More ❯

important to ensure the delivery of robust, future-proof data solutions. Key Skills: Experience developing modern data stacks and cloud data platforms. Capable of engineering scalable data pipelines using ETL/ELT tools e.g. Apache Spark, Airflow, dbt. Expertise with cloud data platforms e.g. AWS (Redshift, Glue), Azure (Data Factory, Synapse), Google Cloud (BigQuery, Dataflow). Proficiency in data processing More ❯

clients to gather requirements and 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, Containers, Microservices and Data Pipelines. More ❯

clients to gather requirements and 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, Containers, Microservices and Data Pipelines. More ❯

Aladdin by BlackRock, Yardi Investment Platform, Temenos Multifonds, or portfolio management tools. Understanding of fund structures, regulatory reporting requirements (e.g., UCITS, AIFMD), and investment operations. Experience with data migration, ETL, or systems integration. Familiarity with project delivery methodologies (e.g. Agile, Waterfall, Hybrid). Experience working in the Banking, Insurance, Asset Management, Healthcare, Life Science & Public Sector preferred. Life at Grant More ❯

Business Intelligence solutions using Alteryx for data preparation, SQL for data transformation and storage, Tableau for data visualization, and R/Python for advanced analytics. •Design, implement, and maintain ETL pipelines using Alteryx to extract data from diverse source systems (e.g., relational databases, APIs, flat files), transform it according to defined business rules and data quality standards, and load it … or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. •Experience: 1+ years of hands-on experience in Business Intelligence and Digital Transformation projects. •ETL Expertise: Proficiency in Alteryx Designer, including the ability to design and implement complex ETL workflows, and optimize performance. •Data Visualization Proficiency: Proficiency in Tableau Desktop, including the ability to create More ❯

Required Skills: Proficiency in BI tools (Power BI, Tableau, QlikView) and data visualization techniques Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, MySQL) Familiarity with ETL processes and data warehousing concepts Experience in data modeling and designing effective reporting structures Knowledge of programming languages such as Python or R for data manipulation and analysis Strong analytical More ❯

SQL, Spark SQL, and Python for data processing and automation Knowledge of Microsoft Fabric and Azure Data Factory would be useful but not essential Power BI Solid understanding of ETL/ELT workflows, data modelling, and structuring datasets for analytics Experience working with large, complex datasets and APIs across formats Familiarity with workflow automation tools (eg, Power Automate) and/ More ❯

discuss how your expertise could 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 data storage and retrieval systems More ❯