1 to 25 of 500 Permanent Data Warehouse Jobs in London

Data Architect will own the end-to-end data architecture across spanning Snowflake as the enterprise data warehouse and a landscape of in-house application databases (relational, time-series, document, and in-memory stores) that serve real-time operational workloads. You will define … data flows from source systems into the warehouse, how application databases are modelled and managed, and how data products are exposed to downstream consumers within and beyond. This is a hands‐on, delivery‐focused role. You will work closely with Integration Architects, platform engineers ...

Data Engineering and Data Management team working collaboratively with other colleagues to integrate datasets into our data warehouse and run data quality checks. This will require the post-holder to lead on the development of pipelines to ingest data into the data warehouse and to adapt the pipelines as changes are made to data specification. The post-holder will be expected to contribute to the development of a performance-focused culture where safety, effectiveness and patient experience are consistently delivered through ...

DescriptionWe're passionate about using technology to drive sustainability. You too? Join us as a Data Architect for Technology Architecture at Ramboll Tech and help us become the leading Tech-Enabled Partner for Sustainable Change. We are seeking an experienced and results-driven Data Architect … with business goals, to drive growth and operational excellence. If you are passionate about collaborating with business leaders to shape strategies and have data-centric mindset, we want to hear from you. Join Ramboll Tech to support the formulation of business strategy, outcomes and capabilities and make your ...

party providers. This role will own the development of the Group’s data platforms — including data lake, data warehouse, and analytics tooling — with a strong emphasis on Microsoft Fabric and modern cloud‐based data engineering practices. It will ensure data … Data Manager will shape the roadmap, define the architecture, and also lead the technical build of the Group’s data warehouse and associated data pipelines. Working closely with technology, operations, and business stakeholders, the role will embed strong data governance, drive ...

hackajob is partnering directly with BlackRock to hire for this role. About this role About Aladdin Data (AD) Data is at the heart of Aladdin and increasingly the ability to acquire, govern, analyze, and derive insights from data is a key differentiator for BlackRock … clients. The Aladdin Data (AD) team is responsible for the firm's data ecosystem, ensuring data can be discovered, trusted, accessed, and used effectively across investment, operations, analytics, AI, and client solutions. Our mission is to build and operate the capabilities, governance, and workflows ...

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 ...

frameworks and data quality management. Familiarity with information security frameworks is preferredShould have experience in data integration, data warehouse, data migration, report automation and process management toolsShould be able to read and write SQLShould understand the architecture and concept of data lake and data warehouse related knowledge and designMust be proactive and analytical to evaluate and solve problems independentlyMust be able to work under pressure with the team and deliver results in a timely mannerMust be willing to learn, self-driven and responsibleA background ...

looking for a DV Cleared Senior Data Architect to take a leading role in defining and evolving enterprise-wide data architecture within a complex Central Government environment. This is a senior architecture position requiring much more than data modelling alone. You will work across … management and data catalogues Data quality and Master Data Management Data platform and data warehouse architecture Data integration and interoperability Cloud-based data architectures Architecture governance and standards Data architecture supporting AI/ ...

customer business objectives. . Snowflake Architecture: Design and optimise Snowflake environments, including data sharing, secure data access, data warehouse design, performance tuning, governance, and cost optimisation. Databricks Architecture: Design and implement Databricks lakehouse architectures, supporting large-scale data engineering, streaming, analytics … data platforms. Significant hands‐on experience designing and implementing solutions using Snowflake and/or Databricks. Experience architecting lakehouse, data warehouse, and hybrid analytical platforms. Experience defining migration strategies from legacy data platforms to Snowflake or Databricks. Proven expertise in data ...

Data Engineer – Snowflake We are seeking an experienced Data Engineer with strong expertise in Snowflake, data analysis and data architecture to join our Data Services team and play a key role in delivering our Reporting & Analytics programme. This … maintain production-grade data transformation workflows using robust development, testing, version control and documentation practices. Develop and optimise Snowflake environments, including warehouse configuration, query performance and cost efficiency. Develop and manage data pipelines using Azure Data Factory (ADF) to ingest data ...

Description Come join us and make a difference in the world! Discover more at www.necsws.com Job Description We are seeking an experienced Senior Data Engineer to join our growing Data Services team. This is a hands-on technical role focused on designing, building, and supporting cloud … reconciliation, and cutover activities. Perform data profiling, root cause analysis, and data quality assessments. Develop and optimise data warehouse, data lake, and lakehouse solutions. Produce source-to-target mappings, transformation rules, and technical documentation. Support data governance, security ...

Data Architect - Leading Investment Bank - London/Hybrid (Tech stack: Data Architecture, Enterprise Data Strategy, Data Warehouse, Master Data Management, ERP, CRM, BI, ETL/ELT, Azure Data Factory, Data Lakes, RDBMS, NoSQL, AWS Glue … successful Data Architect will have strong experience across enterprise data architecture and strategy, Business Intelligence and Data Warehouse platforms, Master Data Management, Data Integration and OLTP database solutions, alongside a solid understanding of Capital Markets data domains ...

Data Transformation Product Manager to help deliver the next phase of the journey. You’ll join a live Snowflake data warehouse transformation , helping bring new data domains into the platform and ensuring the investment delivers real business value. The Data Product … wider business, with responsibility for: Supporting the rollout of new data domains as part of a major data warehouse transformation Helping shape how data is structured, modelled and made available across the organisation Driving data governance, quality and reusable data ...

processes that sit behind every report and every operational data feed at ECP, continue the migration of our data warehouse and data lake to a modern dimensional model, finish the rollout of a principle-of-least-privilege security model across a multi-server … work. Main Responsibilities Duties will include: Setting and personally delivering target architecture for the ECP data estate the data warehouse, data hub, data lake, raw/ODS layers, dimensional model, audit and schema-change tracking, and the load schedules that ...

frameworks and data quality management. Familiarity withinformation security frameworks is preferred Should have experience in data integration, data warehouse, data migration, report automation and process management tools Should be able to read and write SQL Should understand the architecture and concept … data lake and data warehouse related knowledge and design Must be proactive and analytical to evaluate and solve problems independently Must be able to work under pressure with the team and deliver results in a timely manner Must be willing to learn, self-driven ...

Senior Data Engineer Who we areArtefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud … Strong communication and interpersonal skills. Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse. Preferred Qualifications: Certifications in Azure, AWS, or GCP.Certifications in Databricks, Snowflake or similar technologies. Experience in the leading large ...

Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. … data engineering projects. Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse. Demonstrated experience with Infrastructure as Code tooling such as Terraform Why Joining Artefact? Build the Future of Data ...

Methods is recruiting for a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. You will support complex … Strong data architecture and modelling skills with the ability to design scalable data solutions Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large‐scale data processing Strong proficiency in SQL and Python for handling ...

automation accelerators to maximize test efficiency and improve overall software qualityDeep understanding of AWS data pipelines, AWS Glue, Data Warehouse, Data Lakehouse, ETL/ELT processes, data quality concepts, data infrastructure and related testing methodologies. Experience of building advanced … e.g. JIRA, XRAY, ADO).Great if you haveExperience of data feeds architectures and best practices using AWS cloud services, Data Warehouse to Data Lakehouse migrations. AWS fundamentals (e.g. AWS Certified Data Engineer)Experience with AI accelerators. Experience with API testing..Knowledge ...

test scenariosDevelop reusable and maintainable test scripts using approved automation frameworksTest data feed pipeline migrations repointing from an existing Data Warehouse to a new AWS Data Lakehouse architecture, underpinned with AI ETL accelerators, Python/PySpark, SQL and YAML configs. Test initial bulk … engineering testingBPSS minimum, SC not mandated but strong likelihood may be requiredDeep understanding of AWS data pipelines, Data Warehouse, Data Lakehouse, ETL/ELT processes, data quality concepts, data infrastructure and related testing methodologies. Experience of building ...

Design, develop, and maintain efficient and scalable workflows using tools like dbt to transform raw data loaded into our data warehouse (Snowflake) into clean, ready-to-use data models. Data Modelling: Implement best-practice data modelling and software engineering … Performance Optimisation: Tune and optimise SQL queries and data models to reduce latency and improve the performance of our data warehouse and downstream applications. Tool Adoption: Champion the adoption of modern data stack tools and practices (e.g. Git, CI/CD). Build ...

PLEASE NOTE: This role does not offer Relocation or Sponsorship. Applicants must be eligible to work in Jersey. Qualifications Implement data and information management operating standards such as data quality, data lifecycle management, meta data, and data privacy and protection … relevant data governance frameworks, policies, standards, processes, and procedures. Support the business in understanding how data is collected, stored, used and deleted using tools and methodologies to improve the adoption of information management and accountability. Experience Required : Experience in understanding data structures, data ...

designing and building scalable data platforms, data products and analytics solutions using modern lake house or cloud data warehouse technologies Proficiency writing advanced, highly optimised SQL and Spark (PySpark/Scala), with a focus on performance optimisation and maintainability. Designing and building solutions … cloud data warehouse or lakehouse platform (e.g., Databricks, Snowflake, BigQuery, Redshift). Strong understanding of data modelling principles for analytics, reporting, machine learning and AI use cases. Experience applying modern engineering practices, including CI/CD, automated testing, infrastructure-as-code and data ...

Business Intelligence - Data EngineerExperience working with SEI frameworks and Data Delivery to various firms using Snowflake, Airflow, Azure Data Factory and Microsoft Azure. Day to Day job Duties: (what this person will do on a daily/weekly basis)Work closely with client stakeholders … goals. Participate in daily stand-ups, sprint planning, and review meetings to ensure continuous communication and progress tracking. Design, build, and optimize scalable data pipelines using Azure Data Factory and Apache Airflow for scheduling and orchestration. Implement efficient data ingestion, transformation, and movement processes ...

understand customer data requirements and reporting needs. Map reporting requirements back to source systems, data feeds and data warehouse structures within GCP. Support the development of data governance frameworks and help establish sustainable data operating models. Contribute to Master … data quality rules, critical data elements and data governance processes. Experience working with dbt and data warehouse environments. Strong stakeholder management skills with experience working directly with business users and non-technical teams. Experience within customer analytics, B2B, B2C, retail ...