501 to 525 of 706 ETL Jobs in the UK

the core. Supporting the development of a scalable data architecture and engineering roadmap. Helping colleagues across the business solve data problems, from ad hoc data extraction to long-term ETL solutions. Sharing best practices and mentoring junior team members in a newly formed, collaborative data team. Playing an active role in shaping a future-proof data environment as the organisation More ❯

retrospectives where needed. Key Skills 8+ years of experience as a Technical Business Analyst in complex, data-centric environments. Proven ability to write technical user stories for data pipelines, ETL processes, and analytics platforms. Strong understanding of data platforms, data lifecycle, and processing frameworks. Experience working with Solution Architects and engineering teams in technical environments. Demonstrable experience in delivery planning More ❯

ownership. Work with data infrastructure to triage infra issues and drive to resolution. Skills/Experience: 5+ years experience in the data warehouse space. 5+ years experience in custom ETL design, implementation and maintenance. 5+ years experience with programming languages (Python or Java), Python preferred. 5+ years experience in writing efficient SQL statements. Experience working with either a Map Reduce More ❯

technology to drive successful outcomes. What Makes You a Great Fit Proven experience in product management within data, analytics, or business information services industries. Expertise in data warehouse strategies, ETL processes, and API integrations. Strong communication skills, with the ability to translate technical concepts into business language. A collaborative and analytical mindset, adept at managing multiple priorities in an agile More ❯

with stakeholders to define requirements, develop BI solutions and give advice on data strategy, visualization best practices and performance optimization. In addition, you’ll assist with data integration and ETL processes with the IT and data teams identifying opportunities for analytics-driven improvements across the business. Their mission to help businesses to reduce energy costs and drive sustainability is powered More ❯

Intelligence. Experience working with Oracle ERP/HCM Cloud or eBusiness Suite, with a strong understanding of functional areas such as HR, Commercial, Finance and Logistics. Practical experience with ETL, data modelling, and dashboard/reporting development. Experience in leading product teams or data-focused project teams, with stakeholder engagement at all levels. Working knowledge of integration technologies and data More ❯

a related field. (Not a must but beneficial) A genuine passion for data - its potential, its impact, and how to harness it effectively. Hands-on experience supporting and improving ETL processes. Strong proficiency in SQL and other programming languages used for data analysis. Advanced expertise in Power BI or similar data visualisation tools. Solid understanding of machine learning platforms and More ❯

assets to ensure quality throughout project delivery. As a Data Engineering Manager, you will: Analyze large-scale structured data, validate through profiling, and understand data requirements. Design and develop ETL patterns/mechanisms for data ingestion, analysis, validation, normalization, and cleansing. Collaborate with data/business SMEs to confirm requirements and obtain signoffs. Implement data quality procedures to visualize data More ❯

the core. Supporting the development of a scalable data architecture and engineering roadmap. Helping colleagues across the business solve data problems, from ad hoc data extraction to long-term ETL solutions. Sharing best practices and mentoring junior team members in a newly formed, collaborative data team. Playing an active role in shaping a future-proof data environment as the organisation More ❯

Python and Flask. You will work on building scalable, high-performance web applications with a focus on backend technologies. Besides that, you will develop and maintain complex data pipelines (ETL) that power YouGov core products. If you thrive in an environment that values collaboration and customer happiness above all, you'll find yourself at home on our team. Key Responsibilities … applications using Python, Flask, Cloud technologies, relational and NoSQL databases Design and implement RESTful APIs and integrate with third-party services Design, implement and maintain high-availability data pipelines (ETL) Break down complex problems and make informed decisions based on thorough analysis to create realistic estimates for engineering tasks Optimize applications for performance, reliability, security, maintainability, monitoring and scalability Define More ❯

tools (e.g., Azure DevOps, HP ALM, Jira). Experience with Selenium, Specflow, NUnit, Extent-Reporting, Page Object Model. Knowledge of risk management, defect management, task planning, and performance metrics. ETL testing experience (desirable). Experience leading and executing functional and non-functional testing in an Agile (SCRUM) environment. Experience with XML and service-oriented protocols (desirable). Excellent analytical skills More ❯

Experience crafting compelling Value-based proposals with compelling ROI Bonus Points For: Hands-on knowledge of Java, Python, JavaScript/NodeJS, SQL, or similar languages Experience working with databases, ETL tools, or data visualization/reporting platforms Previous experience with regulatory compliance, financial services, or enterprise architecture solutions Who You Are Naturally curious and technically sharp - you love solving problems More ❯

Integration , Batch)/Hibernate and Messaging technologies like MQ, KAKFA/ActiveMQ and proven experience with using them in a large scale environment. • Knowledge of handling high data volumes (ETL) using Spring Batch, Multi-Threading, Job Scheduling. • Solid knowledge of SQL in the context of a major RDBMS such as DB2, Oracle. • Exposure and hands on in Microservices, Distributed Cache More ❯

Science, Engineering, or equivalent work experience 3-5 years of product management with a focus on data engineering, analytics engineering, or developer tools Hands-on understanding of data architectures, ETL/ELT patterns, and data lakehouse concepts Excellent interpersonal and communication skills to grasp and articulate technical, financial, and conceptual ideas Strong project management, analytical, and prioritization skills Experience in More ❯

Consumer Health sectors Familiarity with OpenData and integration of third-party reference data Certification from a CRM or MDM software vendor Hands-on experience with data warehousing concepts, SQL, ETL tools, or web services technologies Exposure to integration frameworks, user authentication methods, or batch data processes Additional European language(s) Perks & Benefits Annual allocations for charitable contributions Fitness reimbursement Work More ❯

around Pivot, vlookup, basic formulas PREFERRED QUALIFICATIONS - Experience in e-commerce or online advertising - Experience with reporting and Data Visualization tools such as Tableau/Power BI - Experience in ETL, SQL. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and More ❯

and forecasting to guide business decisions and solve problems. - Experience in Excel around Pivot, vlookup, basic formulas PREFERRED QUALIFICATIONS - Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts - Knowledge of visualization tools such as Tableau, Datazen, SSRS - Experience back office operations, escalation management and troubleshooting environments - 2+ years of digital advertising and client facing roles experience. More ❯

design Proven experience of developing high calibre teams to exceed their expectations Sales acumen, identifying and managing sales opportunities at client engagements An understanding of database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. Hadoop, Mahout, Pig, Hive, etc.; An understanding of statistical modelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc.; An More ❯

design Proven experience of developing high calibre teams to exceed their expectations Sales acumen, identifying and managing sales opportunities at client engagements An understanding of database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. Hadoop, Mahout, Pig, Hive, etc.; An understanding of statistical modelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc.; An More ❯

you must have Financial Services industry, focused on financial crime, forensics, fraud, legal and regulatory compliance End to end data engineering and data science life cycle including data discovery, ETL, data analysis/machine learning, data visualisation/reporting and latest Gen AI and Agentic AI technologies Leading large and complex data and AI-driven programmes and innovating reusable tech More ❯

Azure Portal or Azure DevOps (or similar). Qualified to Foundation Level in Software Testing (or equivalent experience). Experience with security test automation and testing techniques. Experience with ETL testing. Experience working in an operational support capacity for a production system. Prior experience in mentoring and teaching automation skills to others. The Rewards We want you to love what More ❯

art of the possible" success stories and AWS enablers including our data warehousing (Amazon Redshift), data lake (Amazon Lake Formation), BigData processing (Amazon EMR), search (Amazon Open Search Service), ETL (Amazon Glue), streaming (Amazon Kinesis and Amazon Managed Kafka), and Sagemaker Unified Studio brining these all together. Then you will work with a specialized solution architect to craft a solution More ❯

Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine More ❯

Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine More ❯

Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine More ❯