1 to 25 of 484 Permanent ETL Jobs in the UK

proficiency is essential as well as working from their Liverpool office 2-3 days a week - rest remote* Senior Data Engineer, Data, Datamodelling, Migration, ETL, ETL Tooling (Informatica IICS & IDMC ) SQL, Python or PySpark, Agile, migrating data from on-prem to cloud. *Informatica (IICS & IDMC) is essential* A top Reinsurance … critical data. Essential/core experience required: 10+ years of experience and in-depth knowledge of data delivery and associated architecture principles, Datamodelling concepts, ETL procedures, and all steps of data production process Prior experience in insurance and/or reinsurance in support of specialty lines is a plus. Extensive … hands on experience in SQL, Python, Data Integration/Ingestion and associated patterns - ETL tooling - Informatica IICS Experience with on-prem and cloud versions of databases such as Oracle and SQL Server. Professional certifications in public cloud and tooling - Informatica and Azure are highly desired. Data Engineer, Data, Datamodelling, Migration more »

is essential and the role is 2-3 days a week in the Liverpool office - rest remote**** Senior Data Engineer, Data, Data Modelling, Migration, ETL, ETL Tooling (Informatica IICS & IDMC ) SQL, Python or Pyspark, Agile, migrating data from on-prem to cloud. **** Informatica Cloud (IICS & IDMC ) is essential - NOT PowerCenter … data. Essential/core experience required: 10+ years of experience and in-depth knowledge of data delivery and associated architecture principles, data modelling concepts, ETL procedures, and all steps of data production process Prior experience in insurance and/or reinsurance in support of specialty lines is a plus. Extensive … hands on experience in SQL, Python, Data Integration/Ingestion and associated patterns - ETL tooling - Informatica IICS, Warehousing technologies and associated patterns, Cloud platforms - Azure preferred. Experience with on-prem and cloud versions of databases such as Oracle and SQL Server. Professional certifications in public cloud and tooling - Informatica and more »

is essential and the role is 2-3 days a week in the Liverpool office - rest remote**** Senior Data Engineer, Data, Data Modelling, Migration, ETL, ETL Tooling (Informatica IICS & IDMC ) SQL, Python or Pyspark, Agile, migrating data from on-prem to cloud. **** Informatica Cloud (IICS & IDMC ) is essential - NOT PowerCenter … data. Essential/core experience required: 10+ years of experience and in-depth knowledge of data delivery and associated architecture principles, data modelling concepts, ETL procedures, and all steps of data production process Prior experience in insurance and/or reinsurance in support of specialty lines is a plus. Extensive … hands on experience in SQL, Python, Data Integration/Ingestion and associated patterns - ETL tooling – Informatica IICS, Warehousing technologies and associated patterns, Cloud platforms – Azure preferred. Experience with on-prem and cloud versions of databases such as Oracle and SQL Server. Professional certifications in public cloud and tooling – Informatica and more »

and will make all the organisation's data accessible to be used in support of relevant aspects of the organisation. Key responsibilities: Working to Extract, Transform and Load (ETL) data sets from a variety of data sources across the enterprise technology stack. Monitoring the execution of data workflows, including identifying … how data is used by Analysts, Data Scientists and in Business Intelligence tools (Power BI, Tableau) Experience using Cloud services (primarily Azure) Experience using ETL tools (SSIS, Data Factory) Experience using APIs to send and receive data. Good knowledge of code management principles and experience using source Control Management tools more »

modelling and software implementation. in specifying and delivering large, complex business transformation programmes, with budgets exceeding £1m. of data principles including ETL (extract, transform and load) pipelines, integration methods and data migration techniques. verbal and written communication skills to adapt to technical and non-technical audiences. of creating an inspiring more »

maintaining data architectures Leading projects and teams Ensuring data quality and integrity Preferred skills: Proficiency in AWS Glue, AWS Redshift, and Python Experience with ETL processes, data integration, and data warehousing. Strong SQL skills Experience with Big Data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud platforms (AWS more »

RDS (SQL Server) toolsets. Experience with transactional reporting solutions for critical business reporting. Experience with dimensionally modelled databases for analytics use cases. Knowledge of ETL tools and approaches. Hands-on experience with AWS technologies, including Lambda, SQS, Event Bridge, S3 & RDS. Experience with Python for scripting and automating data tasks. more »

and ensuring the Trust can meet its business objectives. You will have a strong level of knowledge across the range of BI areas including ETL, data warehouse structure and delivering meaningful dashboards and other ways of connecting users to data, whilst having the experience to judge what is the appropriate more »

scalable and reliable data pipelines and platforms using various technology solutions. Extract, transform, and load (ETL) data from various sources and formats. Build and maintain ETL pipelines Ensure data quality, integrity, and security by applying data governance and validation rules. Optimise data performance and efficiency by tuning, partitioning, indexing, and … Hands-on experience in designing, planning, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments. Skilled in data integration, ETL processes, and ensuring data quality. Capable of turning data into insights using visualisation and reporting tools. Able to effectively document business use-cases, data sources more »

RDS (SQL Server) toolsets. Experience with transactional reporting solutions for critical business reporting. Experience with dimensionally modelled databases for analytics use cases. Knowledge of ETL tools and approaches. Hands-on experience with AWS technologies, including Lambda, SQS, Event Bridge, S3 & RDS. Experience with Python for scripting and automating data tasks. more »

in a cloud environment (Azure, AWS, GCP) Experience in at least one of: Python (or similar), SQL, PySpark Experience in building data pipeline/ETL/ELT solutions Ability and strong desire to research and learn new technologies and languages Interest in the contemporary data engineering and analytics landscape, the more »

in different formats, including CSVs and structured tables.• Microsoft BI toolset, including O365 tools and Power Platform (Powerapps/Powerautomate/PowerBI) • Azure cloud ETL toolset, including Azure SQL Server, Azure Data Factory, Datalake. • Cloud infrastructure including Microsoft Azure Cloud infrastructure, Identity & Access Management, data stores connections, cloud functions concepts. more »

the data warehouse meets business needs and performance standards. Responsibilities: Design and develop data models and schemas for the data warehouse. Build and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources. Develop complex SQL queries and scripts to ensure efficient data retrieval and manipulation. Responsible for … ensure proper integration of the data warehouse with other systems. Maintain and support existing data warehouse infrastructure. Develop and maintain documentation for data models, ETL processes, and workflows. Provide support for data-related issues and ad hoc queries from end-users. Requirements: Minimum 3-5 years’ experience developing and implementing … within financial services (ideally Consumer Credit). Proven experience in data warehousing, data modelling, and database design. Proficiency in SQL (SSMS) and experience with ETL tools (e.g., SSIS, SAS DI, Informatica, Talend). Experience with data warehouse platforms (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, Snowflake). Familiarity with more »

technical field (e.g. Computer Science, Statistics, Engineering). · 7+ years of relevant experience in building DW/BI systems · Demonstrated ability in data modeling, ETL development, and Data warehousing. · Strong experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) · Expertise in a BI solution like Power BI · Hands more »

Engineering, Synapse Data Warehouse, Python, One Lake Working knowledge of Microsoft Azure Cloud Good knowledge of data management principles, including data modelling, data integration, ETL (Extract, Transform, Load) processes, data governance, and data security Experience building data platform components to support a business need Strong attention to detail and analytical more »

engineering solutions. Ensure the implementation, and maintenance of complex data engineering solutions to acquire and prepare data and that it adheres to Best Practice. (Extract, Transform, Load) Contributes towards and ensures the delivery of the creation and maintenance of data pipelines to connect data within and between data stores, applications more »

in Power BI, Data Factory, Databricks, SQL Server, and Oracle.Strong SQL skills and experience with database optimisation techniques.Experience designing and implementing data pipelines using ETL/ELT frameworks.Proficiency in data modelling.Experience with cloud platforms such as Azure or AWS is a plus.Excellent problem-solving skills and attention to detail.Strong communication more »

practices. • Extensive experience with SQL databases, including complex queries and stored procedures. • Experience with SSIS, SSRS, and SSAS. • Strong understanding of data warehousing concepts, ETL, and data modelling. • Familiarity with statistical analysis, data visualization, data mining, and data transformation. • Power BI certification is a plus. • Proven problem-solving skills and more »

across teams and unlocking the full potential of data within the organisation. Responsibilities Maintain and optimise available data warehouse infrastructure Design, implement and document ETL procedures for intake of new data from relevant sources employing industry standards and best practices; as well as ensure data is verified and quality checked more »

Coordinating the work of business, IT, and external teams to deliver the required results. Perform Feasibility, Impact Assessment, Estimation, Planning, Design and Delivery of ETL Migration projects. Documentation Review, ensuring that work produced by the teams conform to methods, designs, and standards so that economies of scale can be achieved … meaning of the data. Design, estimate, plan and implement the data migration projects from one platform/tool to another. Utilize Azure environment to extract, transform, and load (ETL) data from various sources. Design and implement data models, ensuring data accuracy, consistency, and integrity. Perform data analysis to identify trends … not limited to, SAP ERP, SAP BW, SAP HANA, Marketo, Salesforce etc. Collaboration with different teams, Requirement Gathering, Design and Delivery of Technical solutions. ETL migration project planning, estimation, and delivery Adeptia, Snaplogic ETL migration experience Hands on experience on Azure, ADF, ADLS, Synapse more »

skills. Responsibilities required for the role of Data Warehouse Developer Design and develop data models and schemas for the data warehouse. Build and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources. Develop complex SQL queries and scripts to ensure efficient data retrieval and manipulation. Responsible for … with ad hoc requests such as reporting, hardware refreshes etc. Maintain and support existing data warehouse infrastructure. Develop and maintain documentation for data models, ETL processes, and workflows. Provide support for data-related issues and ad hoc queries from end-users. Experience required for the role of Data Warehouse Developer … Warehouse solutions for managing data and information Proven experience in data warehousing, data modelling, and database design. Proficiency in SQL (SSMS) and experience with ETL tools (e.g., SSIS, SAS DI, Informatica, Talend). Experience with data warehouse platforms (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, Snowflake). Familiarity with more »

certificates, encryptions, etc.).In-depth knowledge and experience with Azure data storage (SQL Server, Data lake, Synapse, etc.) & access tools, APIs, cloud connectivity, and ETL processes.Knowledge and some experience of MS Office/MS Office 365 suite, SharePoint Online, Power Apps, GitHub, MS Teams, etc.In-depth knowledge & experience using Visual more »

knowledge of business intelligence concepts, data visualisation and analytic methods. * Data Engineering: A strong background in data engineering, with thorough understanding of concepts like ETL (Extract, Transform, Load), data cleaning, data structures, and data warehousing. * Azure Data Services: Hands-on experience with Azure data services like Azure SQL Database, Azure more »

Advanced skills in SQL programming, with the ability to design, optimize, and maintain complex queries and databases. Strong experience in designing, implementing, and managing ETL processes using Azure Data Factory and other relevant tools. Proficiency in building and managing data warehouses using Azure Synapse Analytics and other data warehousing solutions. more »

development, Blazor, NServiceBus, CQRS and Domain-driven design, Scrum/Agile, API Design and management skills Data Engineering projects using Data Lakes, Data factories, ETL techniques, Synapse and PowerBI MS Logic and Power Apps Azure DevOps Experience with the following would be beneficial: AI + Machine Learning Analytics: Analysis Services more »