1 to 25 of 75 ETL Jobs in the North of England

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 »

business needs? Delivering quality assured evidence based insights to inform business decisions? Can you provide theoretical and practical knowledge of Business Intelligence Architecture including Extract, Transform and Load (ETL), SSIS (SQL Server Integration Services), Data Warehousing and Data Modelling? The role will develop an array of data science approaches to … outputs, formulate and present analytical data visualisations for future reporting developments for NIHR Academy Provide theoretical and practical knowledge of Business Intelligence Architecture including Extract, Transform and Load (ETL), SSIS (SQL Server Integration Services), Data Warehousing and Data Modelling to team members Provide reports to an agreed standard to meet 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 »

Engineer Immediate Responsibilities Managing and delivering end to end BI reporting projects from initial brief/requirement gathering to data pipeline development (APIs/ETL/ELT/SQL) to visualization Undertaking ad hoc BI tasks based on business requirements and priorities As part of the BI team you will 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 »

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 »

our data systems. Champion data quality principles and best practices throughout the organization. Required Skills and Experience: Advanced proficiency MS SQL Extensive experience with ETL/ELT techniques, data warehouse design, and data visualisation. Strong command of Microsoft tools such as Fabric, Azure Blob Storage, Data Factory, Purview, and Power more »

Azure DevOps, Visual Studio, Tabular Editor Understanding of Microsoft Dynamics, Business Central would be beneficial Solid understanding and experience of database management systems and ETL Framework Experience in leading/motivating teams to deliver meaningful change and drive their professional development. Experience managing and building relationships with internal and external more »

reliable within the Google Cloud Platform. Effective documentation and communication of solutions to both technical and non-technical stakeholders are essential. Candidate Profile: Extensive ETL/ELT background with experience in developing data pipelines, optimizing queries, and enhancing database performance. Proficient in data modeling and data warehousing. Multiple years of more »

within the Google Cloud Platform. Effective documentation and communication of solutions to both technical and non-technical stakeholders are essential. Candidate Profile: l Extensive ETL/ELT background with experience in developing data pipelines, optimizing queries, and enhancing database performance. l Proficient in data modeling and data warehousing. l Multiple more »

of the below: - Cloud technology (Azure or AWS) - this organisation are migrating to cloud soon, so any experience here would be great - Data engineering (ETL) - designing and developing processes, both on-premise and maybe even cloud - Exposure to BI Tooling - Power BI would be great, however other tool are considered more »

with key stakeholders across the business to understand how data can be used to improve business performance - Develop and create the data sets, repositories, extract/transform/load routines and validation mechanisms - Establish the integration with all databases and software systems - currently in place is Netsuite as the ERP more »

levers, and lead metrics for performance improvement. Develop and create the data sets needed for BI and analytics including, where needed, the data repositories, Extract/Transform/Load routines and validation mechanisms needed to underpin reporting and analysis. Establish the integration with other databases and systems in conjunction with more »

platform in AWS. Utilise Agile methodologies to manage the development lifecycle. Design and implement data pipelines, ensuring data quality and integrity. Requirements: Proficiency in ETL tools such as SQL, SSIS, AWS, Lambda, and Python. Strong understanding of data warehouse concepts. Excellent problem-solving and communication skills. Benefits: Competitive salary and more »

working options and a competitive day rate of £250-£400, falling inside IR35 regulations. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes using AWS, Databricks, Python, Spark, and SQL. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data more »

systems. Promote best practices and principles of data quality throughout the organisation. Required Skills and Experience: Advanced proficiency in MS SQL Extensive experience with ETL techniques, data warehouse design, and data visualisation Command of Microsoft tools such as Fabric, Data Factory, and Power BI Excellent communication, presentation, and stakeholder management more »

part of a large-scale project to develop a new Data Warehouse. Responsibilities include: Being an SME in designing & building the Data Warehouse Customising ETL procedures, data mappings, and transformations to coordinate data integration Documenting solutions, tools and processes Implementing validation procedures to ensure high quality of data Collaboration with more »

Strong network and firewall knowledge Strong Information Security and IT security/Cyber controls Deep experience/understanding of all elements of data engineering (extract/transform/load), visualization, analytics, and machine learning Designing, deploying, maintaining, and developing data systems and controls. Benefits This is a fantastic opportunity for more »

concepts, including infrastructure as code, serverless computing, and containerization. Expertise in designing scalable and resilient architectures for data-intensive applications. Familiarity with data modeling, ETL processes, and data integration techniques. Proficiency in programming languages commonly used in cloud environments (e.g., Python, Java). Strong knowledge of security principles and best more »

communication skills and ability to work effectively in a remote setting. Nice to Haves: + Experience with SQL Server Integration Services (SSIS) or similar ETL tools. + Understanding of Authentication via SSO + Experience with Infrastructure as Code (Azure ARM/Bicep) What’s on Offer: + A fully remote more »

with excellent analytical and problem-solving abilities Expertise using modern data tools (SQL, Python) Snowflake and AWS experience preferred. Good knowledge of Data Warehouses, ETL pipelines Good understanding of Cloud-based environments AWS and/or Azure Good appreciation of the modern software development lifecycle, CI/CD Benefits for more »

and data security standards. Expertise in designing and implementing data platforms, data lakes, data warehouses, and self-service analytics solutions. Proficiency in data modelling, ETL processes, data integration, and data visualisation tools. Previous Cloud Migration experience essential (either Synapse, BigQuery, Redshift) Expert level experience working with Azure and or Certified more »

technologies like Python, Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. more »