26 to 50 of 161 ETL Jobs in London

SSIS Developer London- Hybrid- 3 days on-site per week 6 months + UMBRELLA only- Inside IR35 Experienced SSIS Developer to design, develop, and maintain robust ETL processes using SQL Server Integration Services (SSIS) . The ideal candidate will work closely with business analysts … data architects, and stakeholders to ensure reliable data integration, transformation, and delivery across enterprise systems. Key Responsibilities Design, develop, test, and deploy ETL packages using SSIS to extract, transform, and load data from multiple sources into data warehouses, data marts, or operational systems. Optimize and troubleshoot existing SSIS packages for performance, scalability, and reliability. Develop and maintain SQL queries, stored … procedures, functions, and views to support ETL and reporting processes. Implement error handling, logging, and auditing within SSIS packages. Schedule and automate ETL jobs using SQL Server Agent or equivalent job schedulers. Collaborate with data architects and business analysts to understand business requirements and translate them into technical solutions. Perform data validation and quality checks to ensure integrity and accuracy More ❯

of experience in data engineering (healthcare/medical devices preferred but not required) Strong Python programming and data engineering skills (Pandas, PySpark, Dask) Proficiency with databases (SQL/NoSQL), ETL processes, and modern data frameworks (Apache Spark, Airflow, Kafka) Solid experience with cloud platforms (AWS, GCP, or Azure) and CI/CD for data pipelines Understanding of data privacy and More ❯

and maintain high-performance, fault-tolerant data pipelines for processing large-scale scientific and clinical datasets. Drive Data Engineering Best Practices: Establish and champion best practices for data modeling, ETL/ELT processes, data quality, and data governance across late-stage discovery and clinical operations. Enhance Workflow Orchestration: Leverage and extend our existing orchestration platforms (e.g., Camunda, Prefect) to integrate More ❯

and presentation skills. Preferred Skills Knowledge of FP&A, supply chain, workforce, or sales planning processes. Experience with data visualization tools (Power BI, Tableau, or similar). Familiarity with ETL tools, APIs, or middleware for system integrations. Anaplan Solution Architect certification (a plus for senior roles). More ❯

ASAP. Key Requirements: Proven expertise in Data Architecture working on large, complex Data Programmes Strong Data Modelling experience (especially Conceptual Data Models) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven More ❯

ASAP. Key Requirements: Proven expertise in Data Architecture working on large, complex Data Programmes Strong Data Modelling experience (especially Conceptual Data Models) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven More ❯

Key Requirements: Proven expertise in Data Solution Architecture working on large, complex Data Programmes Strong Data Modelling experience (especially Conceptual Data Models) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven More ❯

Microsoft Azure Data Services (Fabric desirable). Knowledge of Data Lake, Power BI, SQL. Business Entity Mastering, Data Taxonomy and Data Dictionary. Knowledge of CI/CD Familiarity with ETL processes and best practices. Key Competencies Motivated to learn and grow in a dynamic environment. Strong organisational and technical skills with excellent attention to detail. Resilient, solution-focused, and able More ❯

Microsoft Azure Data Services (Fabric desirable). Knowledge of Data Lake, Power BI, SQL. Business Entity Mastering, Data Taxonomy and Data Dictionary. Knowledge of CI/CD Familiarity with ETL processes and best practices. Key Competencies Motivated to learn and grow in a dynamic environment. Strong organisational and technical skills with excellent attention to detail. Resilient, solution-focused, and able More ❯

data flows, mappings, and processes. What You'll Bring Technical Skills: Strong SQL expertise for querying, analysis, and troubleshooting within Snowflake. Hands-on experience with Snowflake environments Understanding of ETL/ELT processes to support data integration into Snowflake. Business & Analytical Skills: Experience capturing and translating stakeholder requirements into actionable data specifications. Analytical mindset with attention to detail and a More ❯

Good SQL skills, you know your way around a database. Some exposure to a cloud-based data warehouse such as Snowflake, Redshift, Big Query or similar. Some knowledge of ETL/ELT and data automation. A desire to work with complex Salesforce detail and master that data. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills More ❯

and maintenance of our data infrastructure, driving our large-scale programmes in the USA. Your primary responsibilities will include : Design & Development: Create, develop, and maintain scalable data pipelines and ETL processes across various systems. Data Integration: Build and manage seamless data integrations from diverse sources, including POS systems, e-commerce platforms, RFID sensors, IoT devices, and CRM systems. Data optimisation More ❯

and maintenance of our data infrastructure, driving our large-scale programmes in the USA. Your primary responsibilities will include : Design & Development: Create, develop, and maintain scalable data pipelines and ETL processes across various systems. Data Integration: Build and manage seamless data integrations from diverse sources, including POS systems, e-commerce platforms, RFID sensors, IoT devices, and CRM systems. Data optimisation More ❯

implementing data engineering best-practice (e.g., source-to-target mappings, coding standards, data quality, etc.), working closely with the external party who setup the environment . Create and maintain ETL processes, data mappings & transformations to orchestrate data integrations. Ensure data integrity, quality, privacy, and security across systems, in line with client and regulatory requirements. Optimize data solutions for performance and … up monitoring and data quality exception handling. Strong data modelling experience. Experience managing and developing CI/CD pipelines. Experience with Microsoft Azure products and services, and proficiency in ETL processes. Experience of working with APIs to integrate data flows between disparate cloud systems. Strong analytical and problem-solving skills, with the ability to work independently and collaboratively. The aptitude More ❯

visualisation skills and ability to translate business deliverables into data solutions. Proficiency in Excel (including Power Query) . Knowledge of Microsoft Data Fabric/Azure stack and understanding of ETL/ELT processes. Experience with syndicated data (e.g. Nielsen, IRI) is desirable. Familiarity with SAP BW is advantageous but not essential. Excellent communication skills able to explain technical solutions to More ❯

visualisation skills and ability to translate business deliverables into data solutions. Proficiency in Excel (including Power Query) . Knowledge of Microsoft Data Fabric/Azure stack and understanding of ETL/ELT processes. Experience with syndicated data (e.g. Nielsen, IRI) is desirable. Familiarity with SAP BW is advantageous but not essential. Excellent communication skills – able to explain technical solutions to More ❯

visualisation skills and ability to translate business deliverables into data solutions. Proficiency in Excel (including Power Query) . Knowledge of Microsoft Data Fabric/Azure stack and understanding of ETL/ELT processes. Experience with syndicated data (e.g. Nielsen, IRI) is desirable. Familiarity with SAP BW is advantageous but not essential. Excellent communication skills – able to explain technical solutions to More ❯

seeking an Azure Data Engineer to help build and optimise data infrastructure on Microsoft Azure to support analytics, reporting, and secure data operations. Core Functions: * Develop scalable ELT/ETL pipelines using Azure tools (Data Factory, Synapse, Data Fabric) * Integrate data across systems (HR, CRM, legal, finance) * Enforce GDPR-compliant governance and security * Optimize performance and cost of data workflows More ❯

field or relevant industry industry experience· Have knowledge of programming and data manipulation skills such as SQL and Python, and version control (Github) is essential· Experience building multi-step ETL jobs/data pipelines and working with job scheduling systems is a plus· Demonstrated ability to thrive with minimal oversight and process. You connect the dots across business needs and More ❯

management, incentive compensation, deal desk, lead management, and contact centre operations . Use SQL and Python (Pandas, PySpark) to analyse data, automate workflows, and generate insights. Design and manage ETL/ELT processes, data models, and reporting automation . Leverage Databricks, Snowflake, and GCP to enable scalable reporting and analytics. Partner with leadership to identify opportunities for new tools, automation More ❯

innovation. What you'll be doing: Designing and building scalable data pipelines to support analytics, reporting, and machine learning. Leading the implementation of Azure data solutions and ensuring robust ETL/ELT processes. Defining architecture strategies that allow for scalable, flexible development. Embedding best practices in DevOps, CI/CD, and engineering standards . Mentoring and growing a high-performing More ❯

or integration engineering. Strong proficiency with AWS cloud-native services. Solid SQL skills and scripting experience (Python preferred). Expertise in data modelling and mapping complex transformations. Familiarity with ETL/ELT tools and streaming technologies (Kafka, Kinesis). Experience with CI/CD pipelines and infrastructure as code (Terraform or CloudFormation). Excellent communication skills - able to translate business More ❯

Requirements Proficiency in Python, with a focus on clean, maintainable code (bonus for experience with type hints, linters, and testing frameworks like pytest) Solid understanding of data engineering fundamentals: ETL/ELT, schema evolution, batch processing Experience or strong interest in Apache Spark for distributed data processing Familiarity with AWS data tools (e.g., S3, Glue, Lambda, EMR) Strong communication skills More ❯

Requirements Proficiency in Python, with a focus on clean, maintainable code (bonus for experience with type hints, linters, and testing frameworks like pytest) Solid understanding of data engineering fundamentals: ETL/ELT, schema evolution, batch processing Experience or strong interest in Apache Spark for distributed data processing Familiarity with AWS data tools (e.g., S3, Glue, Lambda, EMR) Strong communication skills More ❯

stages. Key Qualifications: Relevant experience in business intelligence, IT support, data science, or analytics. Strong knowledge and experience with Power BI, Power Apps, and Power Automate. Knowledge of SQL, ETL, DAX, and data modelling is an asset. Desirable: Exposure to cloud-scale data processing tools such as Azure Data Factory or Databricks to support advanced analytics workflows. Experience producing datasets More ❯