426 to 450 of 832 ETL Jobs in the UK

application landscapes and modern architecture principles. Data & Analytics Platforms Experience with one or more of the following: Snowflake Data Lakes Data Fabric Architectures Databricks ETL/ELT Frameworks Modern data integration and transformation solutions I ntegration Architecture Strong understanding of enterprise integration patterns. Experience designing integrations between cloud services, SaaS ...

OpenData and integration of third‐party reference data Certification from a CRM or MDM software vendor Hands‐on experience with data warehousing concepts, SQL, ETL tools, or web services technologies Exposure to integration frameworks, user authentication methods, or batch data processes Additional European language(s) Perks & Benefits Annual allocations ...

services, flow governance and operational monitoring. Proven experience delivering API integrations, file-based integrations, legacy system interfaces and bespoke data connectors. Experience building secure ETL and ELT pipelines for structured, semi-structured and unstructured data. Experience within MOD, Defence or secure government environments involving different security classifications. Strong understanding ...

need to thrive? Bachelor's degree in IT, Systems, Sciences or Maths 5+ years' experience across BI, data warehousing, data management and ETL Strong experience delivering data solutions in BI warehouses and/or data lakes (on-prem & cloud) Hands-on with Big Data tools, data ingestion and streaming Experience ...

related field, or equivalent practical experience Demonstrate strong Python programming skills Design, develop, and integrate RESTful APIs, such as with FastAPI Build and support ETL and data pipeline engineering workflows Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines Design and integrate databases and ...

related field, or equivalent practical experience Demonstrate strong Python programming skills Design, develop, and integrate RESTful APIs, such as with FastAPI Build and support ETL and data pipeline engineering workflows Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines Design and integrate databases and ...

across SaaS and on-premise applications using APIs and modern integration patterns. Define authentication, security, and data exchange strategies. Support data migration, mapping, and ETL design activities. Collaborate closely with technical teams to ensure successful solution delivery. Provide technical leadership and guidance to configurators, consultants, and developers. ...

experience Experience with Java & JavaScript frameworks, such as Spring Boot, React, Angular, and J2EE Familiarity with enterprise integration technologies (Kafka, MQ, IBM Streams, ESBs, ETL, etc.) Good understanding of enterprise‐level persistence technologies (Oracle, Postgres, DB2, NoSQL, Redis, Graph, etc.) Experience with estimation methods (top‐down, bottom‐up, planning poker ...

data modeling, analytics engineering, dashboards, pipelines, governance, and performance optimization. Create documentation, samples, walkthroughs, and adoption assets for workflows across SQL, ELT/ETL, dbt, orchestration, semantic modeling, BI, and analytics application development. Partner closely with product, engineering, and field teams to identify high-value use cases, develop technical assets ...

accomplished and detail-oriented Lead Data Migration Engineer to join our Data & AI practice. The successful candidate will bring deep expertise in data migration, ETL/ELT pipeline engineering, and cloud-native data platforms, with a strong focus on AWS-based Data Lakehouse architectures. This role is critical in designing … modern cloud platforms. You will play a key role in ensuring data quality, integrity, and performance, particularly through robust testing and validation of ETL pipelines. As a senior practitioner, you will collaborate with architects, engineers, and analysts to deliver secure, scalable, and high-performing migration solutions, leveraging technologies such ...

including Azure Databricks, Azure Data Factory, Azure Synapse Analytics and Azure SQL. Also requires knowledge of Azure DevOps CI/CD pipelines. Data Modelling & ETL/ELT: Experience of implementing robust data models and developing efficient ETL/ELT processes using SQL and Azure Data Factory/Dataflow Gen2. Power ...

system issues and user queries.o Data Warehouse Architecture: Contribute to the design and development of the data warehouse architecture, including new data marts, ETL processes, and database structures, to meet the growing needs of the Trust. Lead the implementation of these designs with a focus on scalability, performance, and security.Please … responding promptly to system issues and userqueries. Data Warehouse Architecture: Contribute to the design and development of the datawarehouse architecture, including new data marts, ETL processes, and databasestructures, to meet the growing needs of the Trust. Lead the implementation of thesedesigns with a focus on scalability, performance, and security. Data ...

Project description Join Our Team: Innovating Health Care with Cutting-Edge Technology Responsibilities Primary Responsibilities:Design and develop ETL/ELT solutions on Azure Databricks, LakeBase and SparkDevelop, implement, and deploy large scale data pipelines empowering machine learning algorithms, insights generation, business intelligence dashboards, reporting and new data productsDesign, build … optimize, and manage modern large-scale data pipelines ETL/ELT processing to support data integration for analytics, machine learning features and predictive modellingConsume data from a variety of sources (RDBMS, APIs, FTPs and other cloud storage) & formats (Excel, CSV, XML, JSON, Parquet, Unstructured)Write advanced/complex SQL with ...

deliver real-time business insigh ts.Extract, transform, and integrate data from SaaS applications, APIs, and public data sourc es.Build and optimize data pipelines and ETL workflows for efficient and accurate data movement and transformati on.Apply data science and AI techniques (predictive modelling, clustering, regression, NLP) to uncover trends and enable … modeling, and automati on.AI & Predictive Analytics: Knowledge of AI/ML frameworks for building predictive and prescriptive insigh ts.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and framewor ks.Cloud Platforms: Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, AD F).Data Governance ...

models to support analytics, reporting and business insight. Integrating data from multiple business systems, including finance, CRM and operational platforms. Building robust ELT/ETL processes that deliver high levels of data quality, consistency and performance. Collaborating with technical and non-technical stakeholders to translate business requirements into scalable solutions. … Lakehouse, Warehouse, Notebooks and Power BI integration. Strong SQL skills and experience working with both relational and analytical data models. Experience building and maintaining ETL/ELT data pipelines. Knowledge of Azure data services and cloud-based data architectures. Understanding of data governance, security and data quality best practice. Strong ...

more experienced engineers across: Building data pipelines in Microsoft Fabric Fabric Lakehouse, Warehouse and OneLake Developing data models and analytics solutions Power BI development ETL/ELT SQL and SQL Server Azure Data Lake Internal and third-party API integrations Azure DevOps and Git CI/CD and production deployments … practical commercial experience with both, alongside a good grounding in Data Engineering. Youll also need experience across several of the following: SQL Data modelling ETL/ELT development Azure data platforms Azure Data Lake API integrations Git/source control Azure DevOps CI/CD Developing and deploying production solutions ...

data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with … and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development ...

build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such asrelational, non-relational, or cloud-based. Working collaboratively with the client … and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development ...

build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such asrelational, non-relational, or cloud-based. Working collaboratively with the client … and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development ...

Build and evolve the serving layer - including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents Extract and promote reusable components into a shared core library, reducing duplication across the platform's repositories Integrate with data sources and services across the firm … tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI Experience with Databricks, MongoDB, or large‐scale extract, transform, and load/data integration workflows Knowledge of data governance, lineage, and entitlements concepts in an enterprise environment ABOUT US J.P. Morgan is a global leader ...

N Consulting Limited is looking for a Data Engineer (Python Enterprise Developer) to work in a hybrid model with 4 days a week in London, Canary Wharf. The ideal candidate will have 8+ years of ...

scalable data solutions using Databricks. Collaborate with stakeholders to understand business needs and translate them into data requirements. Integrate new data sources and manage ETL processes. Optimise and enhance the performance of complex SQL queries. Role requirements: Extensive experience with SQL and Databricks, pivotal for managing large datasets and data ...

unstructured sources (not UI-based curation) Graph databases/query (eg Neo4j/Cypher or RDF/SPARQL) Python data engineering for ingestion/ETL at volume Vector embeddings and chunking strategy Nice to have: LangGraph or equivalent orchestration experience AWS-native AI stack (Bedrock, OpenSearch); other cloud stacks considered ...

backup server. Maintain large-scale IQ databases with terabyte-level storage and ensure optimal bulk loading performance using BCP, IQ load utilities, or ETL tools. Configure and support high-availability solutions such as Sybase Replication Server, Warm Standby, MSA, Failover Clustering, and disaster recovery strategies. Automate database administrative tasks using ...

backup server. Maintain large-scale IQ databases with terabyte-level storage and ensure optimal bulk loading performance using BCP, IQ load utilities, or ETL tools. Configure and support high-availability solutions such as Sybase Replication Server, Warm Standby, MSA, Failover Clustering, and disaster recovery strategies. Automate database administrative tasks using ...