76 to 100 of 559 ETL Jobs in London

IR35 West Midlands/Hybrid 6 months Key Skills & Requirements Active SC Clearance held by a Government Agency. Strong experience designing, building and optimising ETL/data integration pipelines using SAS Data Integration, Pentaho, Talend or similar tools. Proven experience working with SAS 9.4, SAS Viya 3.x and/ ...

role will cover: • End-to-end data architecture across ingestion, processing, storage and analytics • Modern data platforms including Snowflake and Microsoft Fabric • Data engineering, ETL and scalable data pipelines • Conceptual, logical and physical data modelling • Cloud data architecture and integration with legacy platforms • Data governance, quality, security and compliance ...

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 ...

with business stakeholders to translate data strategy into actionable outcomes.ResponsibilitiesDesign and build scalable data solutions and pipelines for enterprise data platformsDevelop data models, manage ETL/ELT processes, and ensure data quality and complianceCollaborate with stakeholders to embed data-driven thinking across business functionsImplement efficient data ingestion and integration workflows ...

turn large volumes of unstructured material into accurate, access-controlled answers. Responsibilities Core data engineering Design, build and maintain robust batch and streaming pipelines (ETL/ELT) across structured and unstructured sources Model data for analytics and downstream use, with clear schemas, lineage and documentation Own data quality, validation, monitoring ...

/or AWS native services for data storage, processing, orchestration, analytics, and AI enablement. Demonstrated ability to architect scalable batch and streaming pipelines using ETL/ELT patterns. Proficiency in one or more programming or query languages (e.g. SQL, Python, Java, R). Experience managing architecture quality processes, such ...

concepts into business insights. Operational Excellence & Standards: Ensure scalable, stable data operations using best practices in automation, observability, and continuous improvement. Requirements Advanced SQL, ETL/ELT frameworks, and cloud data platforms such as Azure, AWS, or GCP. Data modelling and pipeline orchestration using tools such as Airflow, Data Factory ...

hands-on delivery with leadership and continuous improvement. What you will do? As our Data Engineering Lead, you will: Design, develop and maintain enterprise ETL/ELT pipelines, integrating data from case management, finance, CRM and third-party systems into a central data platform. Lead the development and continuous improvement ...

with SQL, data warehousing in a RDBMS (e.g. SQL Server, MySQL). Good understanding of Data Modelling concepts and techniques. Experience building and scheduling ETL workflows. Experience with a cloud database management system like Snowflake. Good experience writing high quality, maintainable SQL on large datasets. Experience with cloud-based architecture ...

data. What You'll Do Data Pipeline Development: Design, develop, and maintain robust and scalable data pipelines to support the extraction, transformation, and loading (ETL) of data from diverse sources into our data warehouse. Data Modeling: Create and manage data models, ensuring data integrity, consistency, and accuracy. Collaborate with stakeholders ...

your background, a crucial element is your intellectual curiosity, self-motivation, and a demonstrable ability to translate real-world challenges into data models, ETL processes, algorithms, and ultimately, functional code. A strong interest in data engineering and/or the AdTech domain, along with its associated technologies, is highly desirable ...

Proficiency in Domo - including DataFlows, Beast Mode, Domo Everywhere, and connector management. Power BI or Tableau considered in lieu. Familiarity with data warehousing concepts, ETL pipelines, and enterprise data integration (SAP, NetSuite, Denodo a plus). Exceptional ability to present complex data findings to non‐technical and executive audiences with ...

essential. Familiarity with Git, GCP, Docker, Plumber, FastAPI, Shiny, and Django is highly desirable. Data Engineering & Architecture Understanding: Solid understanding of data warehousing concepts, ETL processes, and cloud platforms (e.g., GCP, AWS, Azure) and their data services. Tool & Product Development: Hands-on experience in developing and maintaining analytical tools, dashboards ...

insight generation.Strong stakeholder management and communication skills.Experience working within Agile environments.Preferred SkillsExperience working with Data Engineering, Analytics, or Business Intelligence teams.Understanding of data modelling, ETL processes, data governance, and visualization tools.Knowledge of APIs and data integration concepts.Experience using Jira and Confluence.Familiarity with GenAI, Advanced Analytics, and Customer Intelligence initiatives.We ...

solutions. Conduct load and performance testing to ensure optimal responsiveness and stability. Ensure the technical feasibility of UI/UX designs. Build and maintain ETL/ELT pipelines and data models within data warehouses, an example pipeline being ingesting data from multiple Cyber Intelligence vendors. Collaborate with cross-functional teams ...

plain English, and you push back when the ask doesn't match the problem. Nice to Have Fivetran, RudderStack or similar ingestion and reverse ETL tools. Databricks Lakeflow, Auto Loader or Delta Sharing. Exposure to Model Context Protocol (MCP) servers or similar agent tooling. Experience in property, marketplaces or other ...

leveraging OCI AI Services, OCI Generative AI, Vector Search, Retrieval Augmented Generation (RAG) patterns and Large Language Models (LLMs). Strong SQL, data modelling, ETL/ELT and data engineering skills, with experience building scalable enterprise data platforms. Previous experience of working in a consultancy environment leading workstreams and managing ...

leveraging OCI AI Services, OCI Generative AI, Vector Search, Retrieval Augmented Generation (RAG) patterns and Large Language Models (LLMs). Strong SQL, data modelling, ETL/ELT and data engineering skills, with experience building scalable enterprise data platforms. Previous experience of working in a consultancy environment leading workstreams and managing ...

your work supporting areas including market risk analytics, VaR and stress testing. Key Responsibilities Build and enhance scalable data pipelines and infrastructure Develop Python ETL/ELT pipelines and complex SQL models Design and optimise Snowflake data solutions Integrate and manage large-scale financial and historical data Identify and resolve ...

. Strong SQL proficiency and data modelling capabilities. In‐depth knowledge of insurance domains such as underwriting, claims, and finance. Experience with data warehousing, ETL processes, and data architecture. Excellent communication and stakeholder management skills. Ability to translate business requirements into technical solutions. Bachelor’s degree in Finance, Computer Science ...

core technical owner of the data platform, ensuring reliable, high-quality data from ingestion to production use cases Build and maintain robust ETL/ELT pipelines and the infrastructure behind them Partner closely with Data Science, Engineering and Product to improve performance, scalability and operational reliability Help shape best practices ...

Server; solid understanding of database design principles. Familiarity with big data frameworks like Hadoop, Spark, Apache Hive, and related ecosystem components. Experience working with ETL tools such as Informatica for data integration tasks. Demonstrated ability to analyze complex datasets using advanced analysis skills to derive actionable insights. Knowledge of scripting ...

engineering. Strong hands-on capability with SQL and Python. Experience with Snowflake or another modern cloud data platform. Experience designing and developing ELT and ETL pipelines in production. A good understanding of analytical and dimensional data modelling. Experience with dbt or comparable modern transformation tooling. Familiarity with Git, CI/ ...

Technical Expectations: Proficient in Python, with experience in automation and building data pipelines. Strong expertise in working with tools like DBT and Airflow for ETL processes. Skilled in using REST APIs to develop and manage data integrations. Proficient in SQL and familiar with data visualization tools such as Looker, Superset ...