901 to 925 of 1,211 ETL Jobs in England

first Results and impact driven Self-motivated Continuous improvement Role Responsibilities Partner with business stakeholders to gather, challenge, and translate reporting and analytics requirements. Extract, transform, analyse, and interpret data from multiple sources to support business decision-making. Design, develop, and maintain Power BI reports and semantic models. Write efficient … Data Build Tool) for data transformation and modelling. Familiarity with cloud-based data platforms, particularly Microsoft Azure. Experience working with data engineering or ETL pipelines. Exposure to version control and collaborative development practices (e.g., Git/GitHub). Experience working within financial services, insurance, or other highly regulated industries. #J ...

and an Agile delivery mindset. On AWS, you’re fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore … Azure, you’re fluent across the core services, for example: Storage & lakehouse: SQL, PostgreSQL, Cosmos, Blob, Data Lake, OneLake, Fabric Warehouse Processing & ETL: Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines, Fabric, dbt Data management & metadata: Purview AI: Foundry, (including Agent Service), ML Data Product ...

workloads onto secure, scalable cloud platforms. Where Purpose Meets Career Work on large‐scale cloud transformation programmes , helping organisations modernise critical data integration and ETL capabilities. Grow your technical expertise across Informatica, cloud technologies, data migration, and modern data engineering practices. Be part of a collaborative team of data specialists … full value of their data. About the Role We are seeking an experienced Informatica Engineer to support the migration and modernisation of enterprise ETL pipelines and data integration solutions. Working under the guidance of the Informatica SME, you will be responsible for building, re‐engineering, testing, and validating Informatica mappings ...

workloads onto secure, scalable cloud platforms. Where Purpose Meets Career Work on large‐scale cloud transformation programmes , helping organisations modernise critical data integration and ETL capabilities. Grow your technical expertise across Informatica, cloud technologies, data migration, and modern data engineering practices. Be part of a collaborative team of data specialists … full value of their data. About the Role We are seeking an experienced Informatica Engineer to support the migration and modernisation of enterprise ETL pipelines and data integration solutions. Working under the guidance of the Informatica SME, you will be responsible for building, re‐engineering, testing, and validating Informatica mappings ...

and evolve those solutions. Задачи: Design, build and maintain scalable data pipelines and processing solutions that move and transform data across customer environments Deliver ETL/ELT processes and integrations across structured, semi-structured and unstructured data sources Build and evolve cloud-based data platforms, applying engineering judgement to performance … maintainable data solutions Practical experience with data replication and change data capture (CDC) technologies in large, complex environments Experience with Python, SQL, data pipelines, ETL/ELT, data modelling and cloud-based data platforms Ability to work through ambiguity, understand customer outcomes and make pragmatic technical decisions Clear communication ...

agile practices and frequent updates. Design end-to-end data solutions: ingestion from collection systems and APIs, schema design and data storage, transformation/ETL, model training and evaluation, and operational delivery. Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis … and unstructured sources Experience in Python and SQL or R, and with Pandas or NumPy, scikit-learn, and model evaluation or tuning Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version control Experience develop ing predictive models and quantitative analyses that ...

transform raw data into actionable intelligence. You'll be responsible for: Developing and enhancing a cloud-based Data Warehouse using SQL Designing and maintaining ETL pipelines using AWS Glue and related technologies Building impactful dashboards and visualisations in Power BI Partnering with stakeholders across the business to understand reporting and … experience in a Data Analyst or similar role Strong SQL skills and experience working with large datasets Good working knowledge of Python Experience building ETL processes using AWS Glue or equivalent technologies Power BI or other modern data visualisation tools Strong analytical and problem-solving capabilities Excellent stakeholder engagement and ...

Azure Data Engineer to join our agile teams. As a Data Engineer, you will work in a product delivery team using your data analysis, ETL and cloud technology skills to discover, model, provision and store data at scale in the cloud. This data will be then converted into data products … databases and storage to Azure cloud-based lake and warehouse Key Requirements: Essential Skills: Minimum 2+ years’ hands-on experience designing and developing complex ETL/ELT pipelines in the cloud (Azure Data Factory and Azure Synapse) Experience of preparing data mappings based on high level requirements and taking those ...

enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments. Experience designing ETL/ELT solutions, cloud migrations and modern architecture patterns including Data Mesh and Data Fabric. Excellent stakeholder management, consulting and communication skills, with experience shaping … Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/CD, ETL, ELT, Data Mesh, Data Fabric, AI Architecture, Infrastructure-as-Code. ...

impact. Key responsibilities Build and maintain data pipelines and integrations that connect operational systems to analytics and reporting platforms Develop, test, and optimise ETL processes using modern cloud-based technologies and engineering best practices Transform manual and time-consuming reporting processes into scalable, automated data solutions Produce and maintain clear … data products within a modern data environment Strong hands-on experience with Azure Data Factory, Databricks, SQL, Python, and Spark Experience developing and supporting ETL processes, with a focus on performance, reliability, and scalability Good understanding of data modelling, data integration patterns, and data architecture principles Experience analysing source systems ...

dashboards to monitor the performance of LPS facilities. Provide analytical support across a range of LPS strategic initiatives. Key Responsibilities Monoline Facilities – Data & Analytics Extract, interrogate and analyse data to support the Portfolio solutions Lead in internal scoping discussions with relevant stakeholders, using BI and analytics to identify opportunities and … remains current and reliable as facilities grow and data sources evolve. Must-Have Skills & Experience End-to-end development of Power BI reports, including ETL, data modelling, DAX expression writing and report creation. Proficiency in SQL development and good practices in query writing and optimisation. Good understanding of relational databases ...

Data Engineer, you’ll support the successful delivery of a scalable data intelligence platform in Azure. This will provide the services and tools to extract deeper insights from big and complex data using predictive analytics and AI. This in turn will enable the uncovering of actionable insights previously hidden … Microsoft Azure environment using native technologies and RDS (SQL Server) toolsets. Experience with dimensionally modelled databases for analytics use cases. Knowledge of ETL tools and approaches. Hands-on experience with Microsoft Azure technologies, including MS Fabric, Data Factory, Azure Synapse & RDS. Experience with Python or PySpark for scripting and automating ...

Engineering, reporting into the Lead Data Engineer. Development background with exposure to Data Warehousing at scale on both cloud and on-premise Experience developing ETL solutions in GCP including Python and SQL as well as SQL Server including SSIS & T-SQL Exposure to DW development practices (code & configuration management, build … processes) Strong understanding of enterprise level data warehouse architectures, data modelling concepts, and ETL/ELT best practices Ability to take business requirements and work with other team members to estimate and design end-to-end solutions Experience working in Agile delivery models with CI/CD pipelines for automated ...

wider Finance function . This is a hands-on build-from-the-ground-up role, suited to someone who enjoys both finance, data modelling, ETL and source integration , as well as dashboard design and stakeholder-facing insight . What can I expect to do in this job? Data infrastructure Identify … connect and consolidate data from disparate business systems, including NetSuite, Cascade, Smartsheet and other operational sources. Design and set up robust ETL and data pipelines to ensure clean, reliable and timely data flows into a central reporting layer with low ongoing maintenance. Build a scalable data model, such ...

experience as an Oracle Data Engineer or similar data-focused role Expertise in Oracle Database technologies, including PL/SQL Experience designing and developing ETL/ELT processes Strong SQL development and performance tuning skills Experience working with large-scale and complex data environments Ability to work effectively with technical … modelling methodologies Exposure to data governance, security and compliance frameworks Key Responsibilities: Design, build and maintain scalable Oracle-based data solutions Develop and optimise ETL/ELT pipelines and integration processes Support data migration, transformation and validation activities Ensure high levels of data quality, integrity and performance Collaborate with architects ...

frameworks, AI driven solutions, data testing, and modern AWS cloud‐based data platforms. This role will lead a team of SDETs responsible for validating ETL/ELT pipelines on AWS and end‐to‐end data validation testing. The role combines strong technical leadership, hands‐on contribution and team leadership, working … and data queries for data transformationsTest framework and supporting toolingLead testing of AWS‐based Lakehouse and data pipeline solutions, including: AWS GlueApache IcebergAI‐enabled ETL acceleratorsNeo4jPython/PySpark, SQL and YAML‐driven configurations Quality, Defect & Risk Management Ensure quality issues, risks issues and data defects are identified early, clearly documented ...

and implementing Snowflake architectures for enterprise clients. Strong consulting values with the ability to interface effectively with senior stakeholders. Hands-on experience with SQL, ETL/ELT pipelines, and BI/analytics tools. Deep understanding of the data lifecycle (ingestion, storage, processing, governance, consumption).Ability to link business objectives with … Familiarity with BI and data exploration tools (e.g., Tableau, Power BI, Talend).Experience with data security, governance, and compliance frameworks. Expertise in large-scale ETL/ELT pipeline implementation using custom and packaged tools. Experience, Qualifications, and EducationExperience: Minimum 7–10 years in data architecture, engineering, or consulting roles, with ...

portfolio analytics, optimization workflows, and data pipelinesDesign and optimize SQL-based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large-scale ETL workflows. Implement and support distributed, event-driven architectures (e.g., Kafka, asynchronous workflows) for scalable platform execution. Develop and maintain cloud-native applications on AWS (e.g. … Python experience, including data processing, APIs, or service-based architecture. Proven SQL experience (PostgreSQL, SQL Server, and/or Snowflake), including performance tuning and ETL workflows. Experience with cloud-native development (AWS) and containerized environments. , Experience with CI/CD, DevOps practices, and automated testing. Exposure to portfolio analytics, risk ...

Senior Data Engineer, you will: Design, build, and maintain data pipelines between commercial tools (HubSpot, Zuora, Vitally) and our BigQuery data warehouse. Own reverse ETL flows: enrich or define data in the warehouse and push it back into operational tools like HubSpot, keeping definitions consistent across systems. Implement and maintain … data environment. Strong understanding of CRM data models, APIs, and field management (HubSpot or comparable experience). Hands‐on experience with reverse ETL patterns: pushing warehouse‐enriched or warehouse‐defined data back into operational tools. Extensive BigQuery experience. Experience implementing data contracts in a production environment. Python proficiency for pipeline ...

technical requirements, and make decisions that help make the products/programs smoother.- Interface with other technology/data engineering teams to extract, transform, and load data from a wide variety of data sources using and AWS data technologies.- Lead the technical design and implementation of the data infrastructure.- Design … metrics and experiments, ensuring accuracy and holding dependencies accountable for input quality. Basic qualifications- Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding- Experience with R, Python, Weka, SAS, Matlab or other ...

Keyloop is seeking an experienced contractor to lead the analysis, design and execution of a data migration between Salesforce orgs, using SQL Server as the staging layer. You will own the end-to-end migration ...

Valpak, the UK’s leading provider of environmental compliance, invites applications for a Data Pipeline Manager on a permanent basis. This role offers primarily remote working, with occasional travel to our Stratford-upon-Avon office ...

across Employee Central and related modules. You will lead end-to-end data migration activities, define ownership models between HR, Payroll and IT, oversee ETL pipelines, and ensure readiness for go-live and hypercare. #J-18808-Ljbffr ...

Cambridge invites applications for a Principal Application Specialist to lead Oracle data engineering and enterprise reporting. You will design and maintain DataMarts, develop ETL pipelines with ODI and PL/SQL, and ensure reliable data lineage across systems. You will work with stakeholders across the University to document the data ...

AgentForce Solution Architect to design and deploy advanced customer service solutions. You will architect integrated Salesforce Data Cloud with AgentForce, focusing on data modelling, ETL, governance, and API integration to deliver scalable outcomes. The role requires deep Salesforce ecosystem knowledge, including Service Cloud, and a hands-on, problem-solving approach ...