1 to 25 of 26 Contract ETL Jobs in London

Duration: 6 months Start: ASAP Location: Hybrid, 2/3 days per week in London Key responsibilities Design, build and optimise scalable ETL/ELT data pipelines. Develop and maintain data solutions using Databricks, Python and SQL. Support the migration of data assets from legacy platforms to modern cloud architectures. ...

enjoy building scalable data solutions, solving complex data challenges, and contributing to enterprise-wide cloud transformation initiatives. Key Responsibilities Design, build, and optimise scalable ETL/ELT data pipelines. Develop and maintain data solutions using Databricks, Python, SQL, and Oracle. Support the migration of data assets from legacy platforms into ...

enjoy building scalable data solutions, solving complex data challenges, and contributing to enterprise-wide cloud transformation initiatives. Key Responsibilities Design, build, and optimise scalable ETL/ELT data pipelines. Develop and maintain data solutions using Databricks, Python, SQL, and Oracle. Support the migration of data assets from legacy platforms into ...

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data migration or system migration programmes. Exposure to cloud platforms such as Azure or AWS. Familiarity with Jira, Confluence and Azure DevOps. Understanding of ETL processes and data integration architectures. Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering or a related discipline. BCS, CBAP or equivalent Business Analysis ...

replacement reporting framework for a legacy MS Access/VBA application. You will work across data layer engineering, OAS/BI Publisher builds, Python ETL/automation, and stakeholder engagement within a financial services/enterprise environment. Key Responsibilities Discovery & Assessment: Inventory legacy MS Access databases (.mdb/.accdb), linked ...

replacement reporting framework for a legacy MS Access/VBA application. You will work across data layer engineering, OAS/BI Publisher builds, Python ETL/automation, and stakeholder engagement within a financial services/enterprise environment. Key Responsibilities Discovery & Assessment: Inventory legacy MS Access databases (.mdb/.accdb), linked ...

modelling. Experience working with Oracle Autonomous Data Warehouse (ADW) and a strong understanding of Oracle Fusion data structures. Strong technical capability across data modelling, ETL/ELT processes, SQL optimisation and analytics engineering. Proven experience collaborating with Data Scientists, AI Engineers and/or Machine Learning Engineers to support ...

complex environments. Key Responsibilities Lead the design and implementation of scalable data architectures on the Databricks Lakehouse platform. Oversee the development of efficient ETL/ELT pipelines using PySpark, SQL, and Delta Lake. Mentor and guide junior data engineers, promoting best practices in code quality, CI/CD, and performance ...

demonstrating a keen understanding of reporting processes. Knowledge of Python and experience in automating reporting processes to enhance efficiency. Understanding of data warehousing and ETL concepts, as well as familiarity with tools such as Splunk and production support tooling. Awareness of regulatory and risk reporting processes, ensuring all necessary compliance ...

availability, integrity and performance of enterprise data platforms. Key Responsibilities Design, develop and maintain Oracle-based data solutions and data pipelines. Build and optimise ETL/ELT processes to support business intelligence and analytics requirements. Develop and maintain Oracle databases, schemes, stored procedures, functions and packages. Ensure data quality, governance … where required. Produce technical documentation and contribute to best practice standards. Essential Skills & Experience Strong experience working with Oracle Database technologies. Proven experience in ETL development, data integration and data migration projects. Strong SQL and PL/SQL development skills. Experience designing and maintaining large-scale data warehouses and data ...

Leverage automation tools to provision, configure, and manage virtual infrastructure Deploy, configure, and support shared production services, including identity brokers and observability platforms Execute Extract, Transform, and Load (ETL) processes to ingest and process data from cross-domain sources Develop and utilise scripts to perform operational tasks and improve efficiency ...

Skills and Experience: Proven experience as a Enterprise Data Architect working at a global level. Expertise in data modelling, Medallion Architecture, Data warehousing, and ETL/ELT processes. Knowledge of MDM and Vendor selection. Proficiency with MS Fabric and Microsoft Azure Strong Business architecture experience with awareness of AI tools. ...

optimize innovative data solutions and pipelines for a major public safety initiative! What you'll do: Design, develop, and maintain robust data pipelines and ETL processes. Act as a Subject Matter Expert (SME), guiding and mentoring junior team members. Drive key technical decisions and collaborate across multiple cross-functional teams. ...

drive remediation activities with technology teams. Document data lineage, business logic, assumptions and calculation methodologies so that outputs are auditable and reproducible. Design basic ETL and ELT pipelines that transform billing, tagging, inventory and telemetry data into analysis-ready models. Translate complex analysis into concise, accurate and data-driven materials … financial modelling. Working knowledge of Python for data manipulation and automation, for example using pandas and scripting against vendor APIs. Experience building or maintaining ETL and data pipelines and working with structured data at scale. Understanding of IT infrastructure and public cloud concepts, including compute, storage, network, containers and managed ...

technologies and best practices. Key Responsibilities Data Engineering & Development Design, develop and maintain scalable data pipelines using Python, Databricks and PySpark Build and optimise ETL/ELT solutions processing large-scale datasets Develop high-quality, reusable code and engineering frameworks Deliver robust, performant and maintainable data solutions Troubleshoot and resolve … experience with Databricks in enterprise environments Strong Apache Spark and PySpark expertise Advanced SQL development and optimisation skills Experience designing and building large-scale ETL and data integration solutions Strong understanding of distributed computing concepts and data processing frameworks Experience working with modern cloud platforms including Azure ...

development experience. Experience with Java or another programming language. Experience developing and supporting multiple data integrations. Knowledge of APIs, web services, Middleware or ETL processes. Experience working with relational databases and large datasets. Please note: StuTalk experience is a key requirement for this position, if you do not have Stutalk ...

experience as an Oracle Data Engineer or similar data-focused role Expertise in Oracle Database technologies, including PL/SQL Experience designing and developing ETL/ELT processes Strong SQL development and performance tuning skills Experience working with large-scale and complex data environments Ability to work effectively with technical … modelling methodologies Exposure to data governance, security and compliance frameworks Key Responsibilities: Design, build and maintain scalable Oracle-based data solutions Develop and optimise ETL/ELT pipelines and integration processes Support data migration, transformation and validation activities Ensure high levels of data quality, integrity and performance Collaborate with architects ...

initial 12-month contract. (Offices in London/Birmingham/Bristol) Responsibilities Develop and maintain reliable data pipelines using Python and SQL. Extract, transform, and load data from multiple sources into databases and data warehouses. Perform data validation, cleansing, and quality checks to ensure accurate and reliable data. Troubleshoot data ...

work closely with the Technical Lead and Lead Data Scientist to deliver reliable, production-ready data solutions. Key Responsibilities Design, develop and maintain scalable ETL/ELT pipelines using AWS Glue, Redshift, Python and SQL. Ingest, transform and validate data from multiple sources and formats. Implement data matching, deduplication and … desirable) Strong hands-on experience with AWS Glue, Amazon Redshift, Python and SQL . Proven experience building production-grade data pipelines. Strong understanding of ETL/ELT, data modelling and data quality. Experience with data matching, record linkage or complex data transformations. Experience with automated testing, Git and CI/ ...

solutions and build scalable data pipelines, transforming complex datasets, and implementing data-matching and record-linkage solutions. Key Responsibilities Design, develop and maintain scalable ETL/ELT pipelines using Spark and Python Scripting. Ingest, transform and validate data from multiple sources and formats. Implement data matching, deduplication, and record-linkage … with Spark, Python and SQL . Experience working within Agile/Scrum delivery teams. Proven experience building production-grade data pipelines. Strong understanding of ETL/ELT, data modelling and data quality. Experience with data matching, record linkage or complex data transformations. Experience with automated testing, Git and CI/ ...

suppliers to build robust, scalable integrations across the Microsoft Azure ecosystem. Key Responsibilities Design, develop, test, and support enterprise integration solutions. Build and maintain ETL and data integration pipelines. Develop integrations between internal and external systems using APIs and messaging technologies. Create data mappings, transformation rules, and message schemas. Configure … and stakeholders. Essential Skills & Experience Active SC Clearance (must already be in place). Proven commercial experience as an Integration Developer , Integration Engineer , or ETL Developer . Strong experience with: Azure Data Factory (ADF) Azure Logic Apps SQL Server SSMS SSIS Azure Service Bus Azure Functions Strong SQL and ...

Redshift, AWS Glue and associated services . Own High-Level and Low-Level Designs covering architecture, data flows, integration and security. Oversee data ingestion, ETL/ELT pipelines, transformation and data modelling. Provide technical direction to engineers, ensuring high standards of delivery. Translate business requirements into technical designs and actionable … platform optimisation. Essential experience: Active SC & NPPV3 clearance Strong hands-on AWS data engineering and architecture experience. Extensive experience with Redshift, Glue, SQL and ETL/ELT . Previous experience as a Technical Lead, Lead Data Engineer or Data Architect. Strong understanding of data integration, data quality and scalable cloud ...

Cypher , including query development and optimisation. Strong understanding of graph data modelling, including entities, relationships and connected data structures. Experience designing and implementing ETL/ELT pipelines for graph databases. Ability to develop scalable and efficient data solutions to support complex data relationships. AWS and Data Engineering Strong experience working … Advanced Python development skills. Experience with Apache Spark or similar distributed data processing technologies would be advantageous. Proven experience designing, building and maintaining scalable ETL/ELT pipelines. Strong understanding of data integration, transformation and processing best practices. Contract Details Role: SC Graph Data Engineer Location: Fully remote Clearance: Active ...

scale where millions to potentially billions of rows a day is the normal operating picture, not the stress test. Kafka, high-volume ETL and ELT pipelines, and a blank page where the test strategy should be. That is the job. WHAT YOU WILL ACTUALLY DO Test the pipeline … Kafka. Topics, partitions, consumer groups, offsets, replay, schema registry. Streaming is the architecture of this programme, not an adjacent interest. 2. Testing high-volume ETL or ELT data pipelines. Millions of rows a day and upward, in a system real users depended on, and you can explain ...