121 to 145 of 558 ETL Jobs

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 »

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 »

pipelines. As well as being an expert in cloud platform, you’ll have a strong background in Data Ingestion and Integration, designing and implementing ETL pipelines on various technologies, Data Quality monitoring and a rounded understanding of data operations. Aviva believes strongly in experimentation leading to industrialisation and we are 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 »

portfolios. Utilize advanced statistical, mathematical techniques, and modern cloud computing technologies to drive precision and effectiveness. Develop Essential Tools and Applications : Create APIs and ETL pipelines, enriching our models with vital market and portfolio data. Further, you will enhance our Streamlit landing page, integrating comprehensive data access, visualizations, and model more »

portfolios. Utilize advanced statistical, mathematical techniques, and modern cloud computing technologies to drive precision and effectiveness. Develop Essential Tools and Applications : Create APIs and ETL pipelines, enriching our models with vital market and portfolio data. Further, you will enhance our Streamlit landing page, integrating comprehensive data access, visualizations, and model more »

portfolios. Utilize advanced statistical, mathematical techniques, and modern cloud computing technologies to drive precision and effectiveness. Develop Essential Tools and Applications : Create APIs and ETL pipelines, enriching our models with vital market and portfolio data. Further, you will enhance our Streamlit landing page, integrating comprehensive data access, visualizations, and model more »

portfolios. Utilize advanced statistical, mathematical techniques, and modern cloud computing technologies to drive precision and effectiveness. Develop Essential Tools and Applications : Create APIs and ETL pipelines, enriching our models with vital market and portfolio data. Further, you will enhance our Streamlit landing page, integrating comprehensive data access, visualizations, and model more »

portfolios. Utilize advanced statistical, mathematical techniques, and modern cloud computing technologies to drive precision and effectiveness. Develop Essential Tools and Applications : Create APIs and ETL pipelines, enriching our models with vital market and portfolio data. Further, you will enhance our Streamlit landing page, integrating comprehensive data access, visualizations, and model more »

portfolios. Utilize advanced statistical, mathematical techniques, and modern cloud computing technologies to drive precision and effectiveness. Develop Essential Tools and Applications : Create APIs and ETL pipelines, enriching our models with vital market and portfolio data. Further, you will enhance our Streamlit landing page, integrating comprehensive data access, visualizations, and model 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 »

are considering data to the appropriate level in designs. What you will be doing: Design and implement data solutions focusing on databases (SQL, Azure), ETL (extract, transform, load), integration tooling, and real-time data processing to support business needs and objectives Ensure data security practices are implemented, including encryption, access … efficiency What we are looking for: Proven experience as a solutions architect with a strong focus on data, including hands-on experience with databases, ETL, integration tooling, and real-time data processing In-depth knowledge of data security practices, encryption techniques, access controls, and auditing processes to ensure compliance with more »

are considering data to the appropriate level in designs. What you will be doing: Design and implement data solutions focusing on databases (SQL, Azure), ETL (extract, transform, load), integration tooling, and real-time data processing to support business needs and objectives Ensure data security practices are implemented, including encryption, access … efficiency What we are looking for: Proven experience as a solutions architect with a strong focus on data, including hands-on experience with databases, ETL, integration tooling, and real-time data processing In-depth knowledge of data security practices, encryption techniques, access controls, and auditing processes to ensure compliance with more »

SSAS (SQL Server Analysis Services), and SSRS (SQL Server Reporting Services), to design, develop, and maintain data warehouse solutions. Design and optimize data models, ETL (Extract, Transform, Load) processes, and reporting structures to ensure efficient data retrieval and analysis. Implement best practices for data quality assurance, data governance, and data more »

Manage and execute data-focused projects using internal analytic platform, driving cost optimisation opportunities. Provide expertise in AWS monitoring and optimisation, optimising databases and ETL pipelines. Utilise programming languages such as Python and PySpark to transform big data into manageable datasets. Contribute to the development of interactive dashboards and provide more »

to get new team members certified and help develop their data skills Key Responsibilities: Assist in gathering and analyzing business requirements. Develop and maintain ETL processes to ensure data integrity. Design and implement data models to support reporting and analytics. Create intuitive dashboards and visualizations to communicate key insights. Conduct more »

SQL Managed Instances o Database schema design and implementation -Relational databases, T-SQL, Stored Procedures, Functions and Views, Indexes, SQL jobs and alerts. o ETL Development and Data Warehousing experience - SSIS, SSRS, Azure Data Factory o CI & CD including Azure DevOps pipelines. o Experience in high availability databases/servers more »

resourceful, independent and have a strong attention to detail Ability to face off to senior stakeholders and key decision makers Strong understanding of Data ETL tools (e.g. Alteryx) - nice to have Insurance London, UK - hybrid up to £50K Permanent more »

high-quality and security standards. and uphold best practice standards, design patterns, and documentation for data management and engineering. build, and manage data pipelines, ETL processes, and data orchestration workflows for seamless data transfer across systems and platforms. system designs for integrating and managing data effectively. Experience and Qualifications degree more »