expertise and knowledge of: API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture ( e.g. DataLake) Programming paradigms and approaches ( e.g. object-oriented) Process automation approaches and tooling ( e.g. DevOps, AIOps) Mainframe architecture (nice to have, but not must) Experience more »
expertise and knowledge of: API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture ( e.g. DataLake) Programming paradigms and approaches ( e.g. object-oriented) Process automation approaches and tooling ( e.g. DevOps, AIOps) Mainframe architecture (nice to have, but not must) Experience more »
expertise and knowledge of: API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture ( e.g. DataLake) Programming paradigms and approaches ( e.g. object-oriented) Process automation approaches and tooling ( e.g. DevOps, AIOps) Mainframe architecture (nice to have, but not must) Experience more »
Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. DataLake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »
Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. DataLake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »
Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. DataLake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »
Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. DataLake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »
Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. DataLake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »
Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. DataLake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »
Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. DataLake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »
Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. DataLake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »
Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. DataLake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »
Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. DataLake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »
Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. DataLake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »
Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. DataLake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »
expertise and knowledge of: API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture ( e.g. DataLake) Programming paradigms and approaches ( e.g. object-oriented) Process automation approaches and tooling ( e.g. DevOps, AIOps) Mainframe architecture (nice to have, but not must) Experience more »
expertise and knowledge of: API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture ( e.g. DataLake) Programming paradigms and approaches ( e.g. object-oriented) Process automation approaches and tooling ( e.g. DevOps, AIOps) Mainframe architecture (nice to have, but not must) Experience more »
Job Description Summary The Senior Data Architect is accountable for enabling the technical vision and strategy for the organisations use of data. You will be accountable for defining and maintaining the technical data architecture roadmap offering advise and guidance to business stakeholders. You will ensure that … data architect solutions align with business requirements and data policies and regulations. You will be accountable for the choice of the toolsets required to design, build, manage and maintain the data storage facility within an agreed budget. You will lead a team of people … to deliver a simplified data solution ensuring that data is secure, available, and accurate to business stakeholders. Job Description You will review the ‘as is’ solution, work closely across TalkTalk and wider teams to identify an approach that allows us to move data across more »
As the Data Architect, you'll lead data architecture initiatives, establishing standards and practices essential for effective data management. Your focus will be on designing and implementing robust data and information systems, ensuring they meet stringent criteria for modelling, flow, lineage, quality … and security. Working closely with stakeholders and data governance teams, you'll drive adherence to established standards, facilitating data-driven decision-making processes across the organisation. This role encompasses: Developing and maintaining a comprehensive Data Architecture Framework and maturity roadmap. Enforcing best data … Azure stacks, including data pipelines, security and networking Expertise with data warehousing, datalakes and datalake houses Experience with master data management software and technologies Experience with ETL technologies including SQL Server, SSIS, Azure Data Factory more »
Job Title: AWS Data Architect Location: United Kingdom (U.K.) - Hybrid The Company: At Amber Labs, we are a cutting-edge UK and European technology consultancy dedicated to delivering exceptional value to our clients in the public sector. Our company culture promotes collaboration, autonomy, and rapid learning, empowering our … work environment focused on deliverable outcomes, along with a range of benefits to support our employees’ well-being and professional development. Key Responsibilities: Data Architecture Design: Collaborate with stakeholders to understand data requirements and design scalable and secure data architectures on AWS. Develop data models, data flow diagrams, and architectural documentation to support financial applications. Cloud Data Management: Design, implement, and manage cloud-based data solutions on AWS, including datalakes, data warehouses, and analytics platforms. Ensure the scalability, performance, and cost more »
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Storm ID
The role As a Data Engineer at Storm you will work alongside other software and cloud infrastructure engineers to design, build and maintain data pipelines, data management solutions and analytics components for our client’s projects across the healthcare, justice and local government sectors. … About you We know that many Data Engineer's will come from a variety of backgrounds, and we encourage and value people who bring unique perspectives and knowledge to our team. Your previous experience will include working daily with disparate data sources, ingesting, transforming and processing … service components. implement data solutions using a range of Azure cloud data services such as Azure storage (datalake), Cosmos DB and Azure SQL (inc. Synapse) work with members of the Data Science team, supporting and building data processing more »
Senior Data Engineer About us HENI is a technology company pioneering art markets and information. We work with world-leading artists and estates across various sectors, including printmaking, book publishing, NFTs, digital content, and art research – all underpinned by cutting-edge research in analytics, AI, and machine learning. … Our team comprises of talented web developers, data engineers, data scientists, and infrastructure specialists who thrive on solving complex problems. We enjoy developing machine learning tools and embracing the latest in infrastructure and coding methodologies. We maintain high standards of technical quality via thorough testing and … ingestion, Prefect for pipeline orchestration, AWS Glue for managed ETL, along with Pandas and PySpark for pipeline logic implementation. We utilize Delta Lake and PostgreSQL for data storage, emphasizing the importance of data integrity and version control in our workflows. Day-to-day more »
Coleshill, England, United Kingdom Hybrid / WFH Options
Mercury
what role you come in and do, we will have a plan targeted to help you advance. What you’ll do As a Data Architect will be required to analyse an array of product offerings and business requirements within Mercury, to create and own the overall data architecture spanning the Mercury product suite. You will work with the product development teams (e.g. Core, Web, Integration, Data Practice and product owners) to evaluate and identify solutions that meet the needs of the business and customers, utilising industry standard best practices, patterns and creative design … support of Microsoft cloud-based services and products including (but not limited to): Azure Fabric Azure Data Factory Azure DataLake Store Azure DataLake Analytics Azure Storage Azure AI Search Azure Cosmos DB Azure SQL, Azure DW, Synapse and Azure Analytics more »
My leading Energy and Commodities conglomerate are currently seeking a skilled individual with experience in Python-based data pipeline, datalake house development and an appreciation for Object orientated languages such as C# or Java, using leading orchestration tools. In this role, you'll lead … the development of robust, fully tested data pipelines in Python using cutting-edge platforms like Dagster/Airflow and apply your expertise … in real-time data streaming solutions using Kafka. You'll play a key role in expanding their on prem datalake infrastructure to help enhance support for new lines of businesses they have including Systematic trading, Trading and Shipping commodities, ensuring strong datamore »
Lead Data Engineer - Azure/Spark/Databricks Role: Lead Data Engineer Location: London (3 days a week) Salary: £85k - £90k A leading technology firm, renowned for connecting people globally, is looking for a skilled Lead Data Engineer to join their expanding team. In … engineering stack. Key Responsibilities: Lead the design, development, and implementation of data solutions using Azure services such as Spark, DataLake, Synapse, and Databricks. Code in Spark and oversee the technical design aspects of projects, ensuring adherence to engineering best practices. Lead and mentor a … with remote teams, leveraging your experience in leading distributed teams to drive success. Requirements: Extensive experience with Azure services, including Spark, DataLake, Synapse, and Databricks. Proficiency in coding with Spark and a strong understanding of design aspects. Deep understanding of engineering best practices and the ability more »
