1 to 25 of 179 ETL Jobs in the UK excluding London

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 »

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 »

Business Intelligence/Analytics (Power BI). They will have experience with Microsoft BI stack, relational database and SQL experience alongside experience working with ETL and/or data integration tools (preferably Informatica). Experience working in an agile environment (preferably with Azure DevOps) is also essential. Experience within the more »

Requirements Bachelor’s degree in Computer Science, a relevant technical field, or equivalent experience. Experience designing cloud data warehouse solutions, data modelling, and building ETL/ELT processes, preferably on GCP or equivalent platforms (AWS, Azure, Snowflake). Proficiency with SQL, Python, Docker, and Terraform (or similar IaC tools). more »

impact on internal stakeholders and customers is understood. Qualifications What we’re looking for Proficient across many domains of data engineering, including ELT/ETL, metadata management, data integration, data management in transit and at rest and data streaming. Experience of Kimball modelling techniques to design databases & data warehousing solutions more »

of proven professional experience in Business Intelligence, Analytics or any other relevant technical field, preferably using Power BI Knowledge of data modelling, OLAP and ETL frameworks Strong relational database and SQL experience (Microsoft SQL Server, T-SQL) Experience with data visualization tools (Tableau, Power BI or Qlik) Experience of working more »

and scalability. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Extensive experience in designing and implementing data pipelines, ETL processes, and data warehousing solutions. Proficiency in cloud platforms such as Azure, with hands-on experience in data lakes, Databricks, and Synapse Analytics. Strong programming more »

data pipelines for data ingestion, processing, and transformation in Azure. Utilise Azure Data Factory, Azure Databricks and SAP Business Objects to create and maintain ETL operations. Deliver dashboard reporting and data sets which are interactive and user-friendly via PowerBI Identifying and integrating external data into the business data model more »

new technology • able to quickly learn new skills & technologies: sharing any insights gained with colleagues • technical testing experience testing data pipelines or batch and ETL type processes • experience of working in Agile/SCRUM/KAN-BAN and TDD environments and teams • willing to listen to ideas of others and more »

and coming Data Engineer, this role offers an amazing platform to turbo-charge your career. Your day to day work will focus on: . ETL processes and cloud based data pipelines . Working across the business with Analysts, Developers and various data stakeholders . Carrying out testing and verification duties more »

client sites. We're seeking a Data Engineer with a focus on Azure, showcasing proficiency in: · Leveraging Azure cloud technologies for tasks such as ETL pipeline development, data warehousing, data lake creation, and data movement. · Utilizing Azure data and analytics services, including but not limited to Azure Data Factory, Azure more »

/Developer to lead the transition of databases from SQL Server 2012 to SQL Server 2019. If you are passionate about data warehouse design, ETL methods, and Agile projects, we have the perfect opportunity for you to showcase your skills and contribute to our ongoing success. Our clients are a 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 »

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 »

venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP, AWS, and/or Azure services Cloud Database Management: BigQuery, Snowflake, Databricks, and Redshift Architect data models and schemas in BigQuery to more »

venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. If you have experience across AWS and Azure, we can train you up on more »

venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. If you have experience across AWS and Azure, we can train you up on more »

Occasionally, being able to lend hands-on support to the team working on and using the following technologies:Data Warehousing, Data Modelling, Database Design, ETL, AWS Redshift, SQL Server, Power BI, Cloud/DevOps AWS, Docker, Terraform, Bitbucket, Bamboo, Team City, Octopus CI/CD deploy pipeline, Agile, pair programming 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 »

and processes to enhance data operations. Requirements: Bachelor's or Master's degree in Computer Science, related field, or equivalent commercial experience. Proficiency in ETL/ELT processes and database systems. Strong programming skills in Python and experience with data operations within AWS. Background in event-based data operations. Excellent more »

experience for querying and analysis SSAS (Tabular) - experience building Tabular models would be beneficial but not essential Data Modelling - relational and dimensional data modelling ETL experience Experience working in an Agile environment Any experience with Azure or the wider Power Platform would be a bonus but not essential Excellent communication more »

tools to help you develop. Experience with SSIS is the most important but they would also like SSRS and Power BI too with complex ETL exposure . The office environment is one of the most welcoming in the industry. Including social meals and drinks as a team, collaboration found at more »

within a team to ship medium to large features independently using industry standard processing patterns SKILLS AND QUALIFICATIONS * Experience within a commercial environment creating ETL pipelines in python * Exposure to analytical data warehouses such as Snowflake, Redshift or BigQuery (Redshift Preferred) * Experience with data orchestrators such as Airflow, AWS Step more »

based solutions for management information (MI) and business intelligence (BI) purposes. You will collaborate closely with cross-functional teams to design and optimize databases, extract and analyze data, and generate actionable insights to support strategic decision-making. Key Responsibilities: Develop and … maintain SQL queries, stored procedures, and functions to support MI and BI requirements. Design, implement, and optimize databases to ensure efficient data storage and retrieval. Extract, transform, and load (ETL) data from various sources into data warehouses or data … marts. Collaborate with stakeholders to gather and analyze business requirements, translating them into technical solutions. Create and maintain documentation for database schemas, data flows, and ETL processes. Develop and automate reports, dashboards, and data visualizations using BI tools such as Power BI or Tableau. Perform data analysis to identify trends more »

remote setting + Ability to work in the UK without restrictions 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 »