1 to 25 of 96 ETL Jobs in Central London

and report troubleshooting. Support and maintain data warehouse environments such as Azure Synapse Analytics, SQL Server/Azure SQL DB, Snowflake or BigQuery. Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCA Investigate job failures and performance issues across data pipelines, ML endpoints, and ...

Contribute to embedding the new data platform and architecture in the business and working to ensure our investment is maximised. Enhance, develop, and maintain ETL/ELT, middleware, and integrations. Ingest data from WMS, ERP, ecommerce, IoT and ad-hoc sources (CSV, APIs, unstructured). Analytics & Reporting Model data ...

development capability, including DAX, Power Query and semantic model design. Experience working with large, complex datasets. Understanding of data warehousing, dimensional modelling and ETL/ELT processes. Experience working within Agile delivery environments. Ability to communicate technical concepts clearly to non-technical audiences. Strong problem-solving and analytical skills. Experience ...

APIs, returning complex data from multiple endpoints. Implement processes to retain and refresh this data within business systems. Data Modeling: Using the businesses preferred ETL tools, generate curated datasets from raw input tables. Ensure all datasets have clear, documented lineage and integrated testing to protect against bad data entering datasets ...

work from the office 2 days per week. Key Responsibilities Develop and maintain scalable data pipelines using Azure Data Factory. Build and manage ETL processes using SQL and Python. Work with Azure Databricks and Azure SQL/SQL Server to process and manage large datasets. Design and implement data models ...

industry and understand the complexities of insurance data, systems, and business processes. What You'll Do Design, develop, and maintain scalable data pipelines and ETL/ELT processes. Build and optimise cloud-based data solutions and data platforms. Integrate data from multiple source systems into enterprise data environments. Work closely ...

and with different software solutions (Snowflake, Azure, SQL, Python); Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load (ETL) of large corpus of data into a data lake; Participate in the Natural Language Processing (NLP) extract of unstructured data into … Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; Knowledge of Snowflake cloud data warehouse and Azure cloud is preferred; Knowledge ...

with different software solutions (Snowflake, Azure, SQL, Python). Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load (ETL) of large corpus of data into a data lake. Participate in the Natural Language Processing (NLP) extract of unstructured data into … Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs. Solid ETL development, reporting knowledge based off intricate understanding of business process and measures. Knowledge of Snowflake cloud data warehouse and Azure cloud is preferred. Knowledge ...

findings clearly to non-technical stakeholders A practical, curious and commercially-minded approach to problem-solving Experience with machine learning, Snowflake, Matillion or other ETL tools, modern cloud data stacks, or large-scale video and unstructured datasets would all be useful, but none of it is essential. What ...

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 ...

particularly DP-600 and/or DP-700 Azure Synapse experience DevOps/CI-CD experience within data engineering Experience decommissioning or replacing legacy ETL tooling such as SSIS Experience working within complex enterprise data environments Interviews are planned for September. Please apply today for an immediate CV review. Kinetech ...

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 ...

reporting. Monitor marketplace and partner rankings. Represent Analytics in business reviews and cross-functional forums, translating technical findings for non-technical stakeholders. Data Pipelines & ETL A key part of this role is understanding how data moves through the organisation and being able to troubleshoot issues when things go wrong. … expected to: Work hands-on with ETL (Extract, Transform, Load) processes and data pipelines . Extract and transform data from multiple sources for analytics and machine learning purposes. Investigate and resolve pipeline failures, data-feed issues and tracking gaps. Identify how upstream data-quality issues affect reporting and production models. ...

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 ...

Delta Lake concepts, UC governance. Solid understanding ofstreaming technologies(e.g., Spark Structured Streaming, Autoloader). Programming skills inPython,SQL, or Proficiency indata modelling, ETL/ELT processes, and data architecture. Experience in MS Copilot, AI Foundry , Databricks (MosiacAI, MLflow, Agentbricks, Genie) Strong analytical background with problem‐solving skills. Performance tuning ...

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 ...

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/ ...

extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)Technical Skill SetData Architecture & Platforms Cloud data platforms, SQL, ingestion pipelines (batch, streaming, CDC), ETL/ELT, data modelling, semantic layers, integration patterns, and the TCO trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC ...

skills, with the proven ability to translate highly technical concepts for both technical and non-technical leadership. Desirable Skills (Nice-to-Haves) Data Ingestion & ETL/ELT: Experience using ingestion tooling and orchestration platforms to build and manage automated data pipelines. Cloud Data Platforms: Hands-on experience with Snowflake (highly ...

expertise in SQL and Python. Strong Snowflake experience, or equivalent depth in another modern cloud data platform. A proven track record designing ELT and ETL pipelines and analytical data models. Practical experience with dbt, orchestration frameworks, Git and CI/CD. A genuine commitment to data quality, testing and observability. ...

Financial Services & Insurance experience. Domain & Technical Expertise Data & AI Architecture Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without ...

gathering capability, including the ability to convert business needs into dashboard specifications and iterative delivery plans. Ability to work collaboratively with Data Architecture and ETL resources, particularly where Alteryx-transformed data must support Power BI front-end outputs. Advanced Excel skills for validation, reconciliation, calculation testing and quality assurance ...

media, advertising, or publishing. Strong expertise in analytics, testing, measurement, and industry best practices. Strong understanding of modern data platforms, data architecture, warehousing, modelling, ETL/ELT, and engineering standards. Experience delivering trusted, scalable data products with strong governance, data quality, security, and compliance controls. Proven track record of shaping ...

clear options and trade-offs. Own the integration architecture connecting Salesforce with upstream and downstream platforms (APIs, event-driven patterns, middleware such as MuleSoft, ETL and data platforms) to enable joined-up client journeys and high-quality, trusted data. Govern platform integrity—data model, security model, governor limits, org strategy ...

hybrid working. Occasional travel and overnight stays to support our national portfolio when required. Key responsibilities Build, maintain and optimise scalable data pipelines and ETL processes using Azure Databricks. Work with stakeholders across the business to understand data requirements and deliver effective solutions. Ensure data quality, accuracy and consistency through … engineering processes. Contribute to innovation, knowledge sharing and best practice within the Data & Business Intelligence team. Requirements Experience building and managing data pipelines and ETL processes. Strong SQL skills and experience with data modelling. Experience integrating data from multiple structured and unstructured sources. Strong understanding of cloud-based data architecture. ...