1 to 25 of 69 Remote/Hybrid ETL Jobs in London

reporting, and advanced data use cases. Key Responsibilities Design, develop, and optimize end-to-end data pipelines using Azure services Build and maintain scalable ETL/ELT workflows using Azure Databricks (PySpark/SQL) Develop and manage data warehouses and analytics solutions using Azure Synapse Analytics Ingest data from multiple ...

full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems ...

full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems ...

data pipelines and lakehouse architectures on Azure, enabling advanced analytics and data-driven decision making across the business. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high ...

developing data products such as data warehouses, data models, reports, and business applications. Knowledge of data lakes and cloud data warehousing solutions. Expertise in ETL/ELT development using tools like Azure Data Factory. Ability to write ETL (extract, transform, load) scripts and code to ensure optimal performance. Understanding ...

data platforms using Azure, AWS, or exceptional on-premise design expertise. At least 5 years in data engineering or business intelligence roles. Proficiency in ETL and data pipeline design, with a technology-agnostic approach. A solid understanding of data warehouse and data lake principles. Expert SQL skills and demonstrable data ...

and take ownership of the roadmap for the ongoing development and enhancement of the Data Platform. Design, implement, and oversee scalable data pipelines and ETL/ELT processes within MS Fabric, leveraging expertise in Azure Data Factory, Databricks, and other Azure services. Advocate for engineering best practices and ensure long ...

reliable, performant, and secure. Key Responsibilities Platform Development & Maintenance Design and implement data pipelines using Azure Data Factory , Databricks , and related Azure services. Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability of data services. Infrastructure & Architecture Architect ...

similar for reporting and visualization. Version Control & Automation: CI/CD pipelines, and automated testing frameworks. Data Management: Strong understanding of data modelling, ETL/ELT processes, and governance standards. A relevant degree in finance, economics, mathematics, or a related field. Strong proficiency in financial modelling and analytical tools. Experience ...

production experience with dbt (mandatory). Advanced SQL and strong Python programming skills. Experience with Git, CI/CD, and DevOps practices. Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure). Knowledge of Snowflake features such as Snowpipe, streams, tasks, and query optimisation. Preferred Qualifications Snowflake certifications ...

strong reputation for excellence in analytics and data-driven decision-making. Description Senior Data Engineer Develop and maintain robust and scalable data pipelines and ETL processes. Optimise data workflows and ensure efficient data storage solutions. Collaborate with analytics and engineering teams to meet business objectives. Ensure data integrity and implement ...

scheduled r-training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control ...

and creating data models that suit different organisational need Desirable Skills IBM DB2/QREP BMC Control-M Experience of Talend Data Integration (e.g. ETL build and deployment using Talend Cloud. Experience of leadership Experience of metadata management Experience of testing Location Expectation is to be working from ...

collaborate with a global team to create scalable data architectures optimised for AI/ML, source and prepare high-quality data, and implement robust ETL processes. You should be comfortable working independently while driving improvements in engineering standards and best practices. As a senior member of the team, you will ...

Strong SQL skills and experience working with large, complex datasets. Proficiency in Python for data processing, pipeline development, and automation. Experience building and maintaining ETL/ELT pipelines in a production environment. Exposure to cloud-based data platforms (AWS, GCP, Azure, or similar). Familiarity with data orchestration tools (e.g. ...

helping make it better. Must have — strong practical experience in most of: Python for data workflows and automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect ...

chance to build reliable data pipelines that support analytics, advertising, and digital products used at scale. What you'll do: Build and maintain ETL/ELT pipelines using Python and SQL Orchestrate workflows with Airflow Work with cloud data platforms (AWS/GCP, BigQuery/Redshift) Improve data quality, monitoring ...

processes. Part-qualified (ACA, ACCA, CIMA) preferred. Excellent communication skills for engaging with both technical and non-technical stakeholders. Desirable: experience with BI projects, ETL processes, and finance systems (e.g., Salesforce, Xero, Data Rails). Job Offer Competitive daily rate of £190 including holiday pay (equivalent ...

Senior Data Engineer (Contract) will architect, build, and maintain robust data solutions within a Google Cloud Platform ecosystem. Role Highlights – Design and deliver scalable ETL and ELT pipelines using SQL and Python – Build and optimize data architectures in Google Cloud Platform (GCP) – Partner with analysts, product owners, and developers ...

data engineering projects, and own the agency's core data pipelines and platforms. Key Responsibilities Data Engineering & Architecture : Lead development of robust data pipelines, ETL processes, and warehouse architecture (GCP/Azure) Team Leadership : Manage and mentor data engineers/analysts, fostering technical excellence and collaborative environments Client Collaboration : Partner ...

knowledge of Azure Data Platform (Data Lake, Synapse, etc.). Proficiency in Python and SQL for data engineering tasks. Understanding of data architecture and ETL processes. Ability to work independently in a remote environment. Nice-to-Have Experience with CI/CD pipelines for data solutions. Familiarity with Delta Lake ...

have strong experience of building Data Lakes, Data Warehouse and/or Data Marts You have experience of building and configuring data pipelines using ETL/ELT from APIs, flat files, streaming services and public data sources You have a strong knowledge of engineering best practices including CI/ ...

vendors to deliver data solutions. Document and improve data workflows and processes. Experience: Experience in data architecture, including building cloud-based data lakes, implementing ETL processes and API-based integrations. Expertise in Power BI, analytics, and SharePoint content management. Knowledge of data governance, security, and compliance standards. Excellent communication and ...

workflows. Design data architecture and pipelines that support multi-OpCo deployment, ensuring modularity and interoperability. Required Skills & Experience Expertise in Python, SQL, and modern ETL frameworks. Hands-on experience with cloud platforms (AWS preferred). Strong knowledge of data modelling and API integration. Proven experience in developing, testing, and deploying ...

consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside ...