126 to 150 of 536 ETL Jobs in England

libraries and frameworks for data processing, data analysis and data visualisation SQL and Timeseries databases cloud AWS services, such as S3, EC2, RDS etc ETL tools, such as Airflow Git, CI/CD, testing tools, supporting documentation and best practices best practice and tooling including TDD, BDD Domain and soft more »

environment requires a more robust structure so much of the role will focus around improving: - Data Governance - Data Warehousing - Developing and implementing automation processes - ETL activities - Advanced analytics (involving forecasting and predictive analytics) Clearly, these will not all be achieved by one single person, nor all at once but it more »

to combine the latest thinking with traditional military functions. *Must have Active SC Clearance* Role requirements 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 »

libraries and frameworks for data processing, data analysis and data visualisation SQL and Timeseries databases cloud AWS services, such as S3, EC2, RDS etc ETL tools, such as Airflow Git, CI/CD, testing tools, supporting documentation and best practices best practice and tooling including TDD, BDD Domain and soft 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 »

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 »

Microsoft Windows and web services (IIS and Tomcat), CI/CD pipelines (Azure DevOps), and generating XML files Understanding of database design techniques, optimisation, ETL best practices, and dimensional modeling BSc/BA in Computer Science, Engineering, or related field This is a change to join a brilliant, established business more »

DAX - good experience for data manipulation and transformation SQL - good experience for querying and analysis SSAS (Tabular) - this would be beneficial but not essential 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 »

DAX - good experience for data manipulation and transformation SQL - good experience for querying and analysis SSAS (Tabular) - this would be beneficial but not essential 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 »

with immediate effect. Data Engineer Responsibilities Design and implement scalable data architectures for large-scale web-scraping tools. Develop and optimize data pipelines for ETL from online platforms, including textual and unstructured data, and REST APIs. Test, validate, and secure acquired data to ensure accuracy and quality. Work closely with more »

DAX - good experience for data manipulation and transformation SQL - good experience for querying and analysis SSAS (Tabular) - this would be beneficial but not essential 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 »

is an exciting opportunity to contribute to the success of a forward-thinking property management company. Responsibilities: Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory. Optimize data storage and retrieval processes to ensure scalability, reliability, and performance. Collaborate with cross-functional teams to understand data more »

in Python to work within a fast paced Data team . You will work very closely with Quant Research, Trading, Quant Development and traditional ETL/ELT Data Engineering. In this latency sensitive trading environment , your work is intrinsic to the firms PnL. Your core focus will be on on more »

is an exciting opportunity to contribute to the success of a forward-thinking property management company. Responsibilities: Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory. Optimize data storage and retrieval processes to ensure scalability, reliability, and performance. Collaborate with cross-functional teams to understand data more »

development processes. Additional duties as needed. Preferred Skills: Experience with additional frameworks and libraries such as PyTorch or TensorFlow. Knowledge of data engineering and ETL processes. Experience with version control systems, particularly Git. Knowledge of telecommunications technologies and industry standards. Qualifications: Bachelor's or Master's degree in Computer Science more »

proposing solutions for improvements Skills and Experience Excellent knowledge of SQL Knowledge of Python (other languages might be equivalent) Experience in creating and maintaining ETL pipelines Know your way around Unix based operating system Experience working with any major cloud provider (AWS, GCP, Azure) Fluency in English Experience using Apache more »

proposing solutions for improvements Skills and Experience Excellent knowledge of SQL Knowledge of Python (other languages might be equivalent) Experience in creating and maintaining ETL pipelines Know your way around Unix based operating system Experience working with any major cloud provider (AWS, GCP, Azure) Fluency in English Experience using Apache more »

and manipulation · Analytical capability/Analytical skills: · Issues & risks identification & mitigation · Root cause analysis · Qualitative & quantitative analysis · End to end development of PowerBI Reports (ETL, data modelling, expression writing and report writing) · Experience with data mastery · Good practices in SQL development · Good understanding of relational databases · Advanced Excel (Power Query more »

and data security standards. Expertise in designing and implementing data platforms, data lakes, data warehouses, and self-service analytics solutions. Proficiency in data modelling, ETL processes, data integration, and data visualisation tools. Previous Cloud Migration experience essential (either Synapse, BigQuery, Redshift) Expert level experience working with Azure and or Certified more »

with determination and drive required to implement, manage and deliver change. Knowledge Skills Experience Essential Extensive knowledge and experience working with SQL Knowledge of ETL processes and business process automation. Knowledge of Microsoft Office products, in particular, Access and Excel. Data analytical, evaluation and system development skills. Knowledge and experience more »

their career. Qualifications Essential Criteria: Deep technical expertise in Data Engineering including In-depth knowledge of Data Engineering practices, including Data Storage, Data Visualization, ETL, Data Integration & Migration, Data Warehousing, and Business Intelligence. Familiarity with Data Engineering security, data ethics, and legal/compliance frameworks. Proven experience in driving innovation more »

performance Qualifications Who we're looking for: Relevant professional qualifications in Data Engineering or related specialism Proficient in data engineering practices including ELT/ETL, database management systems, data integration, and data quality Expertise in a variety of database technologies and data warehousing paradigms Familiarity with cloud platforms, CDC and more »

Services Experience of working with Trust specific EPR (Currently RiO - Mental Health). Experience of working in an Azure Environment Experience of working with ETL and orchestration tools such as SSIS Skills Essential Demonstrated skills in Microsoft T-SQL development and working knowledge of data presentation and data warehousing. Knowledge more »

organization. Developing and implementing data models and algorithms to support data science and machine learning initiatives . Technical Requirements Proven track record leading complex ETL and Data Infrastructure projects, as well as designing and building data intensive applications and services. Experience with data processing and distributed computing frameworks such as more »

organization. Developing and implementing data models and algorithms to support data science and machine learning initiatives . Technical Requirements Proven track record leading complex ETL and Data Infrastructure projects, as well as designing and building data intensive applications and services. Experience with data processing and distributed computing frameworks such as more »