376 to 400 of 775 ETL Jobs in the UK excluding London

modeling tools (e.g., Erwin, Visio, Lucidchart ) to create and maintain models that reflect business and technical requirements. Data Engineering & Pipelines Build, optimize, and maintain ETL/ELT pipelines for both structured and unstructured data . Implement scalable and efficient data warehousing solutions on relational and NoSQL platforms. Analytics & Reporting Develop … and NoSQL databases such as Oracle, Sybase, PostgreSQL, SQL Server, MongoDB . Familiarity with big data platforms (e.g., Hadoop, Snowflake). Prior experience with ETL tools or as a SQL developer . Proficiency in Python for data engineering and Tableau for reporting and dashboards. Exposure to cloud platforms like AWS More ❯

the data team working with our vendor partners as appropriate, ensuring work is planned and prioritised accordingly Design, build, and optimize data pipelines and ETL processes on the Azure platform, ensuring data quality, reliability, and scalability Design, implement and maintain a variety of Power BI reports and models in line … setting up/maintaining Power BI premium capacity workspaces tailored to business needs/security requirements Proficient in designing and building data pipelines using ETL/ELT frameworks, data integration tools, and technologies, inclusive of legacy technologies such as SSIS and SSAS Experience with data modelling, schema design, and data More ❯

/Bengaluru Key responsibilities: •Design, develop, and maintain scalable ETL/ELT pipelines for data warehousing and business intelligence (BI) applications •Extract, clean, transform, and load structured and semi-structured data from various sources •Develop and maintain ETL mappings, workflows, and data loads. •Monitor ETL processes, system audits, and dashboard … reporting •Identify, analyze, and interpret trends or patterns in complex data sets. •Perform root cause analysis on ETL job abends and data anomalies and recommend solutions •Ensure data security, privacy, and governance compliance throughout the ETL lifecycle •Participate in continuous improvement efforts, including pipeline optimization, code versioning, and CI/… CD practices for data jobs •Document ETL processes, data flows, and system dependencies for operational transparency and support Requirements: •Bachelor's or Master's degree in Computer Science, Information Systems, or a related field, with 3+ years of hands on relevant experience •Strong understanding of data modeling, database structures, and More ❯

external stakeholders. You will be part of the Business Intelligence & Data team, supporting the BI Manager to take forward development projects whilst maintain and developing Extract, Transform and Load (ETL) pipelines from a range of business systems into the BI environment. You will also be maintaining and developing SQL based … reporting solutions Solid knowledge of MS SQL Server 2012-2022 data warehouse development and querying Experience using MS SQL Integration Services to develop complex ETL and automation solutions Expert knowledge of SQL Server Management Studio and Data Tools Knowledge of supporting programming and scripting languages such as C#, XML, PowerShell More ❯

Knutsford Contract Role Job Description: AWS Services: Glue, Lambda, IAM, Service Catalogue, Cloud Formation, Lake Formation, SNS, SQS, Event Bridge Language & Scripting: Python and Spark ETL: DBT Good to Have: Airflow, Snowflake, Big Data (Hadoop), and Teradata Responsibilities: Serve as the primary point of contact for all AWS related data … and implement data pipelines using various AWS services such as EMR, Glue, Kinesis, and Redshift. Develop data models and ETL processes to efficiently transform and load data into AWS data lakes and data warehouses. Work closely with cross-functional teams to identify opportunities for data-driven insights and optimize data … warehouses and data lakes. In-depth knowledge of AWS services such as EMR, Glue, Kinesis, and Redshift. Hands-on experience with data pipeline development, ETL processes, and data modeling on AWS. Strong leadership and project management skills with the ability to effectively lead a team and manage multiple projects simultaneously. More ❯

be required to use some of the below so any experience would be useful; » Google Analytics » Snowflake (or similar data warehouses) » Fivetran (or similar ETL tools) » Xero (or similar Finance tools) » Canto (or similar Digital Asset Management systems) » T-SQL. » Experience with cross-system automation tools e.g. Zapier, Power Automate. More ❯

improve reliability and reduce effort. Share best practices, tools, and patterns across the Customer Success and Engineering teams. Tooling & Data Operations: Maintain and evolve ETL pipelines used to onboard customer data and feed core services. Manage core data templates, baseline datasets, and internal reference tooling. Continuously seek opportunities to optimise More ❯

improve reliability and reduce effort. Share best practices, tools, and patterns across the Customer Success and Engineering teams. Tooling & Data Operations: Maintain and evolve ETL pipelines used to onboard customer data and feed core services. Manage core data templates, baseline datasets, and internal reference tooling. Continuously seek opportunities to optimise More ❯

improve reliability and reduce effort. Share best practices, tools, and patterns across the Customer Success and Engineering teams. Tooling & Data Operations: Maintain and evolve ETL pipelines used to onboard customer data and feed core services. Manage core data templates, baseline datasets, and internal reference tooling. Continuously seek opportunities to optimise More ❯

we're looking for: Experience in relational database management systems. Proficiency in SQL (preferably SQL Server Management Studio 2012) and Snowflake experience is ideal. ETL/ELT experience (SSIS packages 2005/2010, experience with "dbt" is ideal). Strong data interrogation and manipulation skills; experience with tools like DataIku More ❯

hands-on experience with Power BI and DAX to create visually engaging interactive reports and dashboards. Hands on experience of Azure Data Factory and ETL pipeline processes. Experience in presenting complex data effectively through the use of data visualization techniques. Ability to manage and coordinate multiple projects concurrently. Understanding of More ❯

a genuine difference to everyday life. Data Engineer Requirements Strong background in Data Engineering with relevant degree. Background working in consulting firms. Knowledge of ETL, data pipelines and automated workflows for moving and processing data. Hands on experience working with AWS platforms. Prior working experience with Snowflake. Familiarity with Data More ❯

a genuine difference to everyday life. Data Engineer Requirements Strong background in Data Engineering with relevant degree. Background working in consulting firms. Knowledge of ETL, data pipelines and automated workflows for moving and processing data. Hands on experience working with AWS platforms. Prior working experience with Snowflake. Familiarity with Data More ❯

and access of data to support colleagues to make data-driven decision and drive results. ✅ Must have requirements: Python SQL expertise designing and maintaining ETL/data pipelines ideally proficiency in multiple cloud infrastructures, databases and data warehousing solutions - AWS and GCP being Airflow 👍 Bonus points for: Experience working in More ❯

a plus) Strong understanding of enterprise business processes (e.g., finance, supply chain, procurement, or customer service) Experience with data integration tools and techniques (SQL, ETL tools, APIs). Familiarity with ERP/CRM platforms such as SAP, Oracle, Salesforce, etc. Excellent communication skills and ability to interface with both technical More ❯

and management of a modern, cloud-native data platform (Databricks), ensuring it’s scalable, secure, and performance-optimised. Design and oversee robust data pipelines (ETL/ELT) to enable seamless data ingestion, transformation, and integration. Drive best practices around CI/CD, containerisation, and infrastructure-as-code across data operations. More ❯

of end-to-end data loads and reconciliations WHAT IT TAKES Degree level qualification in Computer Science (or other technology-related field) Experience in ETL/Data Migration/Data Quality/Data Analysis Functional ERP experience Project experience across multiple ERP implementations Database experience - SQL Server, Oracle, etc. Customer More ❯

of end-to-end data loads and reconciliations WHAT IT TAKES Degree level qualification in Computer Science (or other technology-related field) Experience in ETL/Data Migration/Data Quality/Data Analysis Functional ERP experience Project experience across multiple ERP implementations Database experience - SQL Server, Oracle, etc. Customer More ❯

Stakeholders and Marketing to increase their lead generations. Their ideal candidate would have solid experience in the following areas: SQL Power BI and Tableau ETL Python A/B Testing Insurance/Finance Experience Experience assessing Marketing and Lead Generation What’s in it for you? Remote First Working Lots More ❯

requirements. Familiarity with Azure Data Services (Data Factory, Storage). Understanding of DevOps, version control (Git), and automation . Nice to Have Knowledge of ETL, data warehousing, and PowerShell scripting . Microsoft certifications (Azure Database Administrator, SQL Server). If you're a detail-oriented Database Developer looking for a More ❯

requirements. Familiarity with Azure Data Services (Data Factory, Storage). Understanding of DevOps, version control (Git), and automation . Nice to Have Knowledge of ETL, data warehousing, and PowerShell scripting . Microsoft certifications (Azure Database Administrator, SQL Server). If you're a detail-oriented Database Developer looking for a More ❯

with data management systems (SQL/Oracle) and cloud based platforms (AWS/Azure/GCP) Solid experience designing and managing data integration pipelines, ETL processes and data warehousing solutions. Benefits Salary between £95,000 - £105,000 + up to 20% bonus Hybrid – 3 days a week in the office More ❯

to them. Benefits: Flexitime Free Parking Pension Scheme Life Assurance Cycle to Work Scheme Free Eye Tests Employee rewards scheme And more Role Responsibilities: ETL processes Collect, clean and analyse data Build, develop, and maintain data models, dashboards, and systems Optimise data processes Track project progress Help to analyse pricing More ❯

to them. Benefits: Flexitime Free Parking Pension Scheme Life Assurance Cycle to Work Scheme Free Eye Tests Employee rewards scheme And more Role Responsibilities: ETL processes Collect, clean and analyse data Build, develop, and maintain data models, dashboards, and systems Optimise data processes Track project progress Help to analyse pricing More ❯

to them. Benefits: Flexitime Free Parking Pension Scheme Life Assurance Cycle to Work Scheme Free Eye Tests Employee rewards scheme And more Role Responsibilities: ETL processes Collect, clean and analyse data Build, develop, and maintain data models, dashboards, and systems Optimise data processes Track project progress Help to analyse pricing More ❯