26 to 50 of 459 ETL Jobs in the UK

leadership/mentoring experience is essential. Experience with one of the main cloud providers. Python Terraform would be ideal. Experience in scaling data systems, ETL processes etc. Benefits Flexible working hours, hybrid working arrangement. Annual Bonus - 25% 24 days paid annual leave each year, buy and sell scheme. Company Pension more »

technical colleagues and providing updates on data activity progress. Proficient in SQL and data modeling. Experience with Python Extensive technical expertise in data warehousing, ETL processes, and BI reporting technologies. Experience in working with and administering modern BI platforms like Looker, Qlik, Domo, or Power BI. Please contact Joely Callaghan more »

of Core Azure skills: App Services and Containerisation, APIM, Azure AD, App Insights & Azure Monitor, App Gateway, DevOps pipelines, Terraform/IaC resource deployment, ETL - ADF/data warehousing · Experience with a previous development background with managing multiple release streams across multiple applications utilising: YAML, SSDT and DevOps tools · Experience more »

Technical Proficiency : Expertise in React.js, front-end technologies (JavaScript), MS SQL, and AWS. Full-Stack Experience : Proven experience with end-to-end development, including ETL processes, data warehousing, and automated testing. Independent Work Ethic : Ability to work independently and drive projects to completion. Problem-Solving Skills : Strong problem-solving abilities more »

solutions and presenting ideas. Some light line management and mentoring of junior data engineers. Working on a variety of projects including building out infrastructure, ETL work, architecture design, advancing and maintaining warehouses, etc. YOUR SKILLS AND EXPERIENCE High levels of proficiency in a cloud technology. Strong capabilities with Python, Spark more »

understanding of data integration principles, methodologies, and technologies Ability to dissect complex data integration challenges and devise effective solutions Familiarity with various database systems, ETL processes, and APIs to ensure efficient integration solutions Knowledge of relational and non-relational database systems, including SLQ & Oracle Ability to understand and construct complex more »

briefings and talks. • Agree personal goals with the Team Lead for the year and work towards achieving these. You'll have the following experience • ETL Processes with Logstash Design, develop, and maintain data pipelines using Logstash, part of the Elastic Stack. Automate data ingestion, transformation, and loading tasks. • Beats for more »

impact through innovative solutions. They are seeking a skilled Data Engineer for a 6-month contract. Key Responsibilities: Develop and maintain data pipelines and ETL processes. Handle large datasets using PySpark. Manage data workflows with Azure Synapse Analytics and Azure Data Factory. Collaborate with data scientists to ensure data quality. … measures. Requirements: Experience: 5+ years in data engineering. Programming: Proficiency in Python, SQL. Microsoft Azure: Experience with Azure Synapse Analytics and Azure Data Factory. ETL: Experience in designing and managing ETL processes. PySpark: Strong experience with PySpark. Remote Work: Effective communication and collaboration skills. We look forward to receiving your more »

the infrastructure that supports their cutting-edge trading strategies. Key Responsibilities: Design and manage scalable data pipelines. Integrate data from various sources and develop ETL processes. Optimise database systems for high performance. Work with data scientists and analysts to meet data needs. Automate data processing tasks to enhance efficiency. Implement more »

Snowflake data architecture, design, and deployment. Strong proficiency in SQL and experience with scripting languages such as Python or Java. Experience with data modelling, ETL processes, and data warehousing techniques. Familiarity with cloud computing services, ideally, Azure. Excellent problem-solving skills and the ability to work collaboratively in a team more »

data and insights in collaboration with the Marketing teams. Apply advanced statistical and machine learning techniques, including clustering, regression analysis, and predictive modelling, to extract deeper insights from customer data. Build predictive models to forecast customer behaviour, including sales trends, churn prediction, and lifetime value projections. Utilise techniques like customer … on data activity progress. Excellent SQL and data modelling skills. Knowledge of at least one other programming language. Comprehensive technical experience in data warehousing, ETL and BI reporting technologies. Experience working with and administrating a modern BI platform, such as Looker, Qlik, Domo or Power BI. Experience of working with 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 »

data science, such as Azure, OpenAI, Hugging Face, AWS ML/AI. Machine Learning Applications development life cycle processes and tools - MLOps, including building ETL data pipelines. Cutting-edge approaches to Machine Learning, including transformer models, diffusion models, and adversarial machine learning. Experience in fine-tuning off-the-shelf Large more »

seeking Senior Data Engineers to contribute to innovative data projects within a leading financial institution. Key Responsibilities: Data Engineering: Design and implement data models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and more »

function, delivering end to end solutions for an array of customer data projects. The role: Designing data pipelines, managing data warehouses, and implementing complex ETL processes. Work closely with data scientists, analysts, and stakeholders to optimise our client’s infrastructure. Optimise data driven products, personalisation, reporting and overall business success. more »

Test Engineer **Requirements:** Proven experience as an Automation Test Analyst, preferably within the healthcare or NHS sector. Strong scripting skills in SQL and Python ETL, Data Migrations, Data Pipelines Experience with test automation frameworks. AWS cloud Excellent communication and collaboration skills. Ability to work effectively in a fast-paced environment more »

client of ours who are a leading company at the top of their game in their respective field. Duties and responsibilities: Develop and refine ETL and data integration solutions leveraging a variety of technologies and data sources. Maintain and enhance the Data Engineering Architecture. Gather and process raw data from … hosting data solutions and applications. Collaborate with architects, data analysts, and data scientists to achieve business objectives. Requirements: Demonstrated expertise in developing and maintaining ETL/ELT processes within a medallion architecture. Proficient in Data Modelling on a cloud-based data platform. Extensive experience with SQL Server and relational databases. more »

tech team. As a Data Developer you'll focus on building data systems, using the latest .Net technology to develop pipelines to extract, transform and load financial data from disparate sources, build out the company's data collection platform to incorporate new sources and markets and validate the quality of more »

an elite data engineer to join their team in London. The successful individual will have hands-on experience as a data engineer, alongside building ETL pipelines, financial data processing solutions, and owning the data lifecycle management. You should have prior experience with both Python and SQL. You will be designing … and implementing large scale data processing systems, alongside leading the design and development of ETL pipelines that transform raw data into usable data sets for analysis. In addition, you should have experience in data wrangling, data cleaning and data architecture. My client is committed to paying a substantial increase on more »

Advanced skills in SQL programming, with the ability to design, optimize, and maintain complex queries and databases. Strong experience in designing, implementing, and managing ETL processes using Azure Data Factory and other relevant tools. Proficiency in building and managing data warehouses using Azure Synapse Analytics and other data warehousing solutions. more »

Engineer, develop, and optimize code to ensure business processes support organizational growth. Essential Requirements: Proven track record in designing and building data infrastructure and ETL pipelines. Proficiency in Azure Platform, including Data Lake, Data Factory, Synapse, Logic Apps, and Function Apps etc. SQL Server, including Store Procedures, T-SQL, or 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 »

with real-time data analysis and financial systems (preferred). Knowledge of database design principles, performance optimization, and data modeling. Familiarity with data integration, ETL processes, and data warehousing. Excellent problem-solving skills and the ability to work effectively in a fast-paced environment. Strong communication and teamwork skills. A more »

ad tags and creative user flow testing DMP tech setup, infrastructure, cross-device targeting/reporting, CDP Management of Data Onboarders Site troubleshooting SQL, ETL, knowledge on data transfer via S3, and SFTP Deeplinking and DCO concepts Develop and oversee quality assurance process to act as main point of contact more »

Analyse large datasets to identify trends, patterns, and insights that drive business decisions in the insurance domain. Develop and maintain complex SQL queries to extract, manipulate, and analyse data from various sources. Create and optimise reports, dashboards, and visualisations to present findings to stakeholders. Collaborate with cross-functional teams to … and deliver clear insights. Experience with data visualisation tools (e.g., Tableau, Power BI) to create reports and dashboards. Familiarity with data warehousing concepts and ETL processes. Excellent problem-solving skills and attention to detail. Ability to work independently and manage multiple tasks in a remote work environment. Strong communication skills more »