1 to 25 of 245 Remote ETL Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯

to 10+ years' extensive experience in SQL Server data warehouse or data provisioning architectures. Advanced SQL query writing & SQL procedure experience. Experience developing ETL solutions in SQL Server including SSIS & T-SQL. Experience in Microsoft BI technologies (SQL Server Management Studio, SSIS, SSAS, SSRS). Experience of data/system More ❯

to: Design and Develop Data Pipelines: Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics and reporting. Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data More ❯

in Databricks, PySpark, Knowledge Graphs, Neo4J (Graph database and analytics), Power BI, SSRS, Azure Data Factory, and AI technologies. Strong understanding of data architecture, ETL processes, and data governance. Leadership Skills: Demonstrated ability to lead and inspire teams, manage complex projects, and drive organisational change. Analytical Skills: Strong analytical and More ❯

in Databricks, PySpark, Knowledge Graphs, Neo4J (Graph database and analytics), Power BI, SSRS, Azure Data Factory, and AI technologies. Strong understanding of data architecture, ETL processes, and data governance. Leadership Skills: Demonstrated ability to lead and inspire teams, manage complex projects, and drive organisational change. Analytical Skills: Strong analytical and More ❯

AWS, GCP). You have a proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog). You have extensive experience in ETL/ELT development and data pipeline orchestration (Databricks Workflows, DLT, Airflow, ADF, Glue, Step Functions). You're proficient in SQL and Python, using them More ❯

third-party providers. Knowledge of Lloyds Insurance and Reinsurance, Finance GAAP, Actuarial Reserves, Regulatory Reports, Databases (Data Warehouse, T-SQL, SSIS, SQL Server 2019), ETL processes with Databricks, Programming languages (e.g., Python), AWS, Agile methodologies, Jira, and MS Office products. Educational background with a BSc degree or higher in a More ❯

ideally within financial services or commodities trading . Proven experience with Azure , Databricks , and enterprise data lake solutions. Hands-on experience with data modelling , ETL/ELT pipelines , and data integration across multiple systems. Familiarity with tools like Kafka , Spark , and modern API-based architectures . Experience with relational databases More ❯

ideally within financial services or commodities trading . Proven experience with Azure , Databricks , and enterprise data lake solutions. Hands-on experience with data modelling , ETL/ELT pipelines , and data integration across multiple systems. Familiarity with tools like Kafka , Spark , and modern API-based architectures . Experience with relational databases More ❯

SQL and experience with reporting tools like SSRS, Power BI, SSAS, MS SQL Server, and PostgreSQL . Proficiency in data modelling , data frameworks , and ETL tools such as Informatica and SSIS . Experience designing and building regulatory reporting systems —financial services background highly desirable. Familiarity with Agile Scrum delivery and More ❯

Develop and maintain data pipelines, ensuring efficient data processing and integration. Build and support BI and reporting solutions using Qlik and Power BI. Implement ETL/ELT processes, optimising data ingestion and transformation. Work with Azure cloud technologies to enhance data infrastructure. Monitor and resolve data integrity, security, and performance More ❯

SQL and experience with reporting tools like SSRS, Power BI, SSAS, MS SQL Server, and PostgreSQL . Proficiency in data modelling , data frameworks , and ETL tools such as Informatica and SSIS . Experience designing and building regulatory reporting systems —financial services background highly desirable. Familiarity with Agile Scrum delivery and More ❯

Develop and maintain data pipelines, ensuring efficient data processing and integration. Build and support BI and reporting solutions using Qlik and Power BI. Implement ETL/ELT processes, optimising data ingestion and transformation. Work with Azure cloud technologies to enhance data infrastructure. Monitor and resolve data integrity, security, and performance More ❯

and processing processes. Assist in creating project plans, identifying risks, and developing mitigation strategies. What does Leidos need from me? Experience configuring and using ETL platforms such as SSIS, AWS, or Azure Data Factory. Experience setting up and managing AWS or Azure data platforms and analytics services, including Power BI More ❯

plus Familiarity with AWS services such as Lambda, S3, Redshift, and Glue; Databricks experience is advantageous Experience designing and implementing scalable data platforms and ETL/ELT pipelines Knowledge of data warehousing, data lake architectures, and orchestration tools like Step Functions and Airflow Experience with infrastructure as code (e.g., Terraform More ❯