26 to 50 of 230 ETL Jobs in the UK excluding London

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 »

processes. Experience required At least 3 Years Data Architect experience/similar Strong understanding of data warehousing, data modelling and metadata management Experience with ETL pipelines, database design principles, data visualisation tools e.g., Power BI Cloud-based technologies (AWS/GCP/Azure/Cosmos) Knowledge of data governance 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 »

Python (JSON format). - Essential Proven work experience as a Data Engineer or in a similar role Experience with data modelling, data warehousing and ETL frameworks Proficiency in working with relational databases (e.g., Oracle, PostgreSQL), Parquet/Delta files and big data technologies (e.g. Synapse, Hadoop, Spark, Kafka) Knowledge of more »

Azure Data Lake. * Experience delivering some aspect of leadership/mentoring whilst still working in a hands on environment. * Good data platform development skills: ETL development, Data Warehousing, SQL database development.Benefits * Car allowance of 5,500. * Hybrid work pattern - weekly visits to the office in Banbury. * Private health and dental more »

to 5 years minimum experience working as a Data Engineer, utilising the following technologies, languages, tools and methodologies: - Databricks Python TSQL/T-SQL ETL Test Automation Unit Testing/Mocking Refactoring Agile/Scrum Methodologies Any experience working with the following is an advantage but is NOT essential: - PowerShell 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 »

ability to proactively maintain existing and develop new procedures for information provision with One Version of the Truth and the troubleshooting of server and ETL issues; including the ability to allow for integration with other technologies such as powershell, web development and other application developments 5.10Expected to provide training in 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 »

Visualisation and Design SQL (SQL Server) SSAS (Tabular) Relational and Dimensional Data Modelling Experience with Tabular Model development with the use of Visual Studio ETL (Data Cleansing/Quality) Experience working in an Agile environment utilising Agile SCRUM Nice to have experience working with: Power Platform (Automate, Apps, Fabric) Azure more »

experience within the industry Lead Engineering engagement with Actuarial SMEs and Underwriters Mentor Analytics Engineering team members to develop and maintain end-to-end ETL processes Maintain a high level of coding and technical standards across the team Demonstrate a high level of technical capability in Python, SQL, and JSON more »

Visualisation and Design SQL (SQL Server) SSAS (Tabular) Relational and Dimensional Data Modelling Experience with Tabular Model development with the use of Visual Studio ETL (Data Cleansing/Quality) Experience working in an Agile environment utilising Agile SCRUM Nice to have experience working with: Power Platform (Automate, Apps, Fabric) Azure more »

appreciation for the big picture while delivering short/mid-term solutions Experience of building data warehouses, enterprise data warehouses or data lakes with ETL pipelines Experience with AWS tools including Glue, Lambda, S3, RDS, is preferred An understanding of CICD concepts including having a working knowledge of GitHub Understanding more »

Azure data resources: Data Factory, Databricks, Storage Account, SQL Database, SQL Data Warehouse. Senior-level experience in data engineering, including designing data models and ETL pipelines, engineering robust solutions, and conducting testing and QA. Expertise in Azure DevOps, with a focus on source repository control, CI/CD, and change more »

Azure data resources: Data Factory, Databricks, Storage Account, SQL Database, SQL Data Warehouse. Senior-level experience in data engineering, including designing data models and ETL pipelines, engineering robust solutions, and conducting testing and QA. Expertise in Azure DevOps, with a focus on source repository control, CI/CD, and change more »

Scotland (Hybrid) - All employees must be eligible to work without sponsorship Salary: £70,000 - £85,000 The Role: Lead the Data team to deliver ETL processes, build and maintain data pipelines, enhance scalability, performance, maintainability, configurability and usability Be involved in the entire life-cycle of the Data Strategy, including 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 »

processes. Develop, optimise, and maintain Power BI Reports, Apps and Dashboards in line with business requirements, supporting continuous improvement. Responsible for the management of ETL processes, including but not limited to, D365 F&O data exports, SQL data transformation and Power BI data model refreshes. Monitor all BI data processes more »

Data Engineering experience? Strong knowledge of MS SQL Server on Azure? A background in the design, build, and maintenance of ADF data pipelines to extract, transform, and load (ETL) data from various sources into Data Warehouses? Exposure to Azure Synapse Analytics? Excellent communication skills? Would you like? Work for an more »

required to deliver new dashboards and reports Creating Solution Design documents for analytics solutions Documenting Architectural Decisions that are relevant for analytics solutions Designing Extract-Transform-Load processes Required Technical and Professional Expertise Development of complex PowerBI reports from requirements provided by a Product Owner; Data manipulation and extraction using 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 »