1 to 25 of 875 Permanent Data Warehouse Jobs

Azure, Databricks, Data modelling, canonical model, enterprise data architecture, data architect, data lakehouse, data warehouse, Data Mesh, Fabric, Medallion Architecture, Event Driven Architecture, Azure, Databricks, Data modelling, canonical model, enterprise data architecture, data architect, data lakehouse, data warehouse, Data Mesh, Fabric, Medallion Architecture, Event Driven Architecture, Azure, Databricks, Data modelling, canonical model, enterprise data architecture, data architect, data lakehouse, data warehouse, Data ...

Role summary/purpose of job There are three key towers within the IT organisation: Technology, Data and Product. The Data Tower is responsible for maximising the value of the firm's data assets, enabling consistent, trusted and strategically governed data products … across the firm. The Data Office Delivery team works closely with business stakeholders to understand business challenges, define data and reporting requirements, and deliver data products that drive operational efficiency, informed decision‐making and business value. The Business Systems Analyst acts ...

designing end-to-end data solutions across Autolus' enterprise data capabilities, including data integration, data warehouse, master data management, data governance, and analytics.Working closely with the Data Product Owner and technical leads, this role translates … biotech organization from the ground up.**Key Responsibilities*** Design end-to-end data solutions across data integration, data warehouse, master data, governance, and analytics.* Translate requirements defined by the Data Product Owner into detailed solution architecture and technical designs. ...

NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute … etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data. Preferred Skills & Experience We are looking for candidates with experience in the following: Extensive ...

NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute … etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data. Preferred Skills & Experience We are looking for candidates with experience in the following: Extensive ...

NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute … etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data. Preferred Skills & Experience We are looking for candidates with experience in the following: Extensive ...

lead the design, development, and optimisation of SAP data extraction and integration solutions into a Microsoft SQL Server Data Warehouse environment. The role will focus on SAP database structures, SAP data models, ETL design, data governance, and the reliable delivery … required for analytics and reporting. Design scalable SAP data extraction and integration strategies. Define and maintain SAP‐to‐Data Warehouse data models. Data Warehouse Integration Design, build, and support processes to extract SAP tables into Microsoft SQL Server Data ...

have moved on. You will also be accountable for turning architecture direction into delivered capability, strengthening trusted data flow, data warehouse or lakehouse capabilities, analytics and AI-ready data products so data directly enables business processes, operational visibility and decision-making. … existing and future platforms integrate across Development, Manufacturing and G&A, reducing fragmentation and enabling secure, scalable and reusable technology patterns. Data warehouse or lakehouse capabilities : Shape the architecture for trusted data flow, integration, modelling and enterprise data warehouse or lakehouse capabilities ...

partnering with the business to translate strategy into scalable, secure, and high-performing solutions. We are moving from a traditional, centralized data warehouse and operational data store model to a data mesh paradigm, decentralizing ownership of data to the domains that … will be the primary architect and champion of our data mesh transition, guiding the migration away from our current data warehouse and ODS model toward a distributed, domain-oriented architecture with clear data products, interoperable standards, and federated governance. You will foster architectural ...

partnering with the business to translate strategy into scalable, secure, and high-performing solutions. We are moving from a traditional, centralized data warehouse and operational data store model to a data mesh paradigm, decentralizing ownership of data to the domains that … will be the primary architect and champion of our data mesh transition, guiding the migration away from our current data warehouse and ODS model toward a distributed, domain-oriented architecture with clear data products, interoperable standards, and federated governance. You will foster architectural ...

Role summary/purpose of jobThere are three key towers within the IT organisation: Technology, Data and Product.The Data Tower is responsible for maximising the value of the firm's data assets, enabling consistent, trusted and strategically governed data products across … firm.The Data Office Delivery team works closely with business stakeholders to understand business challenges, define data and reporting requirements, and deliver data products that drive operational efficiency, informed decision-making and business value. The Business Systems Analyst acts as a key interface between ...

Lead Funds Data Architect will be a pivotal member of our team, responsible for bridging the gap between business needs and technical solutions within the Funds domain. This individual will lead the design, development, and implementation of data strategies and architectures that support Fund accounting, Fund … Administration, ETFs, IBOR (Investment Book of Record), ABOR (Accounting Book of Record), and various regulatory and client reporting functions. A profound understanding of data governance, data lineage, data modeling, and core data concepts specific to the investment and funds industry is paramount. ...

What you’ll be doing Data Modeling: Design, build, and maintain clean, scalable data models in the data warehouse using SQL and dbt, making data accessible and reliable for analysts and business users. Data Transformation: Develop and maintain data … solutions. Performance & Infrastructure Optimization: Optimize SQL queries, dbt models, and data pipelines for performance, scalability, and efficient use of data warehouse resources. You will thrive in this role if Strong SQL & Data Modeling Skills: You have excellent SQL skills and hands-on experience ...

Data Engineer# STARK UK Careers## Data EngineerApply: Site-based only: Huddersfield: Full time: Posted Today: End Date: November 10, 2026 (13 days left to apply): JR39680**The Opportunity** STARK UK is transforming its data platform and engineering capability to support the next generation … data products. **Skills & Experience Required**• Hands-on experience in a Data Engineering, Data Platform or Data Warehouse role.• Strong hands-on Databricks experience, including building data pipelines and transformations in a Lakehouse environment.• Strong Python skills for data ...

reporting. Develop robust data engineering patterns using Microsoft Fabric Data Factory, Data Engineering and Data Warehouse capabilities. Support the migration of existing data workloads from legacy platforms, Azure Synapse, SQL Server, Power BI or other analytics environments into Microsoft … maintain data pipelines to ingest, transform and publish data from a range of structured and unstructured sources. Develop Lakehouse and Warehouse solutions that support analytics, reporting, operational insight and downstream data consumption. Create and optimise semantic models to support Power BI reporting ...

About the role: As the Analytics Engineering Manager in the cyber data team, you will play a crucial role in the development, management, and optimisation of security data products. You will lead technical decisions and be responsible for a team of analytics engineers to ensure … delivery of high-quality data products needed for security teams operations, analytics, machine learning and Gen AI applications. The Analytics Engineering team plays a direct role in the success of the Cyber Data Intelligence team and is a key driver in promoting a data ...

heart of the role: helping customers move away from legacy data warehouses, databases and fragmented data estates towards modern lakehouse, warehouse and federated designs on platforms such as Databricks, Snowflake, Microsoft Fabric and Starburst. In a pre-sales capacity, there is a demand for both … roadmaps, and identify risks, dependencies and quick wins. Data Architecture & Modelling - Design end-to-end data platform architectures, including lakehouse, warehouse, federated and data-product approaches. Apply appropriate modelling patterns such as medallion, dimensional and domain-oriented designs. Data Integration & Engineering ...

heart of the role: helping customers move away from legacy data warehouses, databases and fragmented data estates towards modern lakehouse, warehouse and federated designs on platforms such as Databricks, Snowflake, Microsoft Fabric and Starburst. In a pre-sales capacity, there is a demand for both … roadmaps, and identify risks, dependencies and quick wins. Data Architecture & Modelling - Design end-to-end data platform architectures, including lakehouse, warehouse, federated and data-product approaches. Apply appropriate modelling patterns such as medallion, dimensional and domain-oriented designs. Data Integration & Engineering ...

Data Engineer – Manager Location: London Salary: Competitive salary package depending on experience Career Level: Manager (Level 7) About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these … Synapse, Azure Data Factory, Azure Data Lake and Power BI. Design scalable data lake, lakehouse, data warehouse and data integration solutions. Establish data governance, security, quality, metadata and lineage using Microsoft Purview. Provide architecture leadership for Data ...

Opportunity STARK UK is transforming its data platform and engineering capability to support the next generation of analytics, self-service reporting, AI, automation and data-driven decision making. We are seeking a hands-on Data Engineer to join our Data Engineering team … data products. Skills & Experience Required Hands-on experience in a Data Engineering, Data Platform or Data Warehouse role. Strong hands-on Databricks experience, including building data pipelines and transformations in a Lakehouse environment. Strong Python skills for data ...

Data Engineer- Manager Location: London Salary : Competitive salary package depending on experience Career Level: Manager (Level 7) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With … Synapse, Azure Data Factory, Azure Data Lake and Power BI. Design scalable data lake, lakehouse, data warehouse and data integration solutions. Establish data governance, security, quality, metadata and lineage using Microsoft Purview. Provide architecture leadership for Data ...

Title: Data Warehouse Developer About KBR and the Project KBR are a global technical solutions provider with 28,000 employees worldwide, with operations in 34 countries delivering to customers in 80 countries. KBR work collaboratively with their wide customer base to deliver solutions that strive to create … information and insight, all to enable enhanced asset management across client’s portfolio. About the Role We are seeking an experienced Data Warehouse Developer to develop, support and evolve a critical on-premise ‘common data environment’ (CDE) within a wider integrated solution. The role will ...

Data Architect is responsible for designing, building, and managing the data warehouse’s data architecture, ensuring it is scalable, secure, and optimized for performance. This position plays a crucial role in shaping our data strategy, working across multiple departments to design … knowledge of modern data modeling techniques (dimensional, relational, etc.) and cloud data warehousing principles. Expertise with cloud data warehouse solutions such as Databrick, Snowflake or Redshift. Proven experience in DataOps, CI/CD (MLOps is a plus) Exceptional written, verbal, and listening communication ...

commercial product, operations, AI, engineering, finance, and Business Intelligence (BI), to understand business data needs and continuously improve our data warehouse to support them. This includes: Design, build, and maintain ELT pipelines : own the end-to-end lifecycle of data pipelines that move … transform, and land data reliably into the warehouse, using Dataform and BigQuery as the core of the transformation layer. Own and evolve the data warehouse structure : maintain a well‐organised, documented, and performant BigQuery warehouse that serves business needs. This includes data ...

reliance on an external parter. * Develop and maintain integrations between internal and third-party systems. * Build and optimise data models, schemas and warehouse structures. * Collaborate with BI Developers to deliver accurate and scalable reporting solutions. * Work with Finance, Commercial and Operational teams to understand business requirements … LinkedIn Keywords: Senior Data Engineer/MS Fabric/SQL/ETL/Data Lake/data warehouse/Azure data platforms/Snowflake/Kimball/Databricks/Dudley/Wolverhampton/Birmingham Circle Recruitment is acting as an Employment ...