26 to 50 of 665 Permanent ETL Jobs

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 »

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 »

encryptions, etc.). In-depth knowledge and experience with Azure data storage (SQL Server, Data lake, Synapse, etc.) & access tools, APIs, cloud connectivity, and ETL processes. Knowledge and some experience of MS Office/MS Office 365 suite, SharePoint Online, Power Apps, GitHub, MS Teams, etc. In-depth knowledge & experience more »

Proven experience in topics like customer segmentation, CLTV, propensity modelling, next best actions, recommendations, price analysis Experience in Azure Data Factory, SSIS or similar ETL tools is advantageous · Knowledge of statistical methodologies and data analysis techniques Passionate about data analytics Technically self-sufficient with a desire and ability to research more »

in accordance with guidelines provided by the Trusts Information Governance and cybersecurity leads. 2.6 Maintain processes, documentation, concerning the development and optimisation of complex Extract, Transform & Load (ETL)/Extract, Load & Transform (ELT) data pipelines. 2.7 Produce technical documentation to support the administration and management of the corporate data warehouse more »

through to developing user reports. They will work on the technical aspects of system integration and be involved in the development and maintenance of ETL (extract, transform, load) processes across all systems. The post holder will work closely with colleagues across the organisation to gather requirements and ensure data integrity … ensure that our technical solutions are fully integrated into business processes. Responsibilities: Advanced T-SQL and SSIS development for the creation and maintenance of ETL and reporting solutions. To lead the development and maintenance of custom applications to provide bespoke functionality, for example using .NET Framework, C# or Python. Development … expertise to internal stakeholders for College supported databases. Requirements: Experience of Advanced T-SQL querying and development: Stored Procedures, Views, functions etc. Experience of ETL development using SSIS or similar Knowledge of database and data warehouse design principles Experience of developing and maintaining custom applications to provide bespoke functionality, for more »

SSRS), queries and SQL Server Integration Services (SSIS). • Excellent problem-solving skills and the ability to work with large, complex datasets. • Knowledge of ETL (Extract, Transform, Load) processes and data integration. • Strong attention to detail and a commitment to delivering high-quality work. • Effective communication skills, with the ability … of data and analytics in decision-making processes. • Experience of working in the Construction/Engineering Industry desirable but not essential. • Any experience with ETL, Databricks, PySpark, Powerapps and Powerautomate would be advantageous. What’s in it for you? In addition to an attractive salary we offer a significant benefits more »

and Snowflake. Support Senior BI developer by overseeing the collection and integration of data from internal and external sources. Implement robust data pipelines and ETL processes to streamline data ingestion and transformation. Competence, Knowledge & Skills: Proven experience in a data management or analytics role within the financial services industry Proven more »

risks. Skills & Experience Advanced SQL and Database Management: Proficient in SQL with a deep understanding of database management systems, online analytical processing (OLAP), and ETL (Extract, Transform, Load) framework. BI Technologies Expertise: Extensive experience with BI tools such as Microsoft Power BI, Microsoft SSRS and Excel for creating dashboards and more »

and its tooling (Snowpark, Snowpipe, etc.). Familiarity with Fivetran, DBT, TensorFlow, PyTorch, and other modern data stack components. Knowledge of data integration and ETL frameworks and tools. Understanding of DataOps, data mining, and data visualization/BI tools. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. more »

and its tooling (Snowpark, Snowpipe, etc.). Familiarity with Fivetran, DBT, TensorFlow, PyTorch, and other modern data stack components. Knowledge of data integration and ETL frameworks and tools. Understanding of DataOps, data mining, and data visualization/BI tools. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. more »

cloud-native technologies. Work closely with cross-functional teams to understand data requirements and translate them into technical specifications. Build and maintain data pipelines, ETL processes, and data warehouses on Azure, leveraging technologies such as Azure Data Factory. Implement and optimize data solutions using Kubernetes for container orchestration. Collaborate with more »

cloud-native technologies. Work closely with cross-functional teams to understand data requirements and translate them into technical specifications. Build and maintain data pipelines, ETL processes, and data warehouses on Azure, leveraging technologies such as Azure Data Factory. Implement and optimize data solutions using Kubernetes for container orchestration. Collaborate with more »

our data systems. Champion data quality principles and best practices throughout the organization. Required Skills and Experience: Advanced proficiency MS SQL Extensive experience with ETL/ELT techniques, data warehouse design, and data visualisation. Strong command of Microsoft tools such as Fabric, Azure Blob Storage, Data Factory, Purview, and Power more »

Azure DevOps, Visual Studio, Tabular Editor Understanding of Microsoft Dynamics, Business Central would be beneficial Solid understanding and experience of database management systems and ETL Framework Experience in leading/motivating teams to deliver meaningful change and drive their professional development. Experience managing and building relationships with internal and external more »

various teams to understand data requirements and implement solutions. > Optimizing data workflows and processes to enhance data quality, reliability, and performance. > Developing and managing ETL processes for data ingestion, processing, and transformation. > Implementing data governance practices to ensure data integrity, security, and compliance. > Monitoring and troubleshooting data infrastructure to address more »

various teams to understand data requirements and implement solutions. > Optimizing data workflows and processes to enhance data quality, reliability, and performance. > Developing and managing ETL processes for data ingestion, processing, and transformation. > Implementing data governance practices to ensure data integrity, security, and compliance. > Monitoring and troubleshooting data infrastructure to address more »

encryptions, etc.). In-depth knowledge and experience with Azure data storage (SQL Server, Data lake, Synapse, etc.) & access tools, APIs, cloud connectivity, and ETL processes. In-depth knowledge & experience using Visual Studio, with one of the programming languages C#/Java/JavaScript/Python, PowerShell, and Postman, SOAPUI more »

Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices. You have experience with GitHub and with one or more ML cloud compute solutions: AWS SageMaker, Microsoft Azure, Google Cloud, Kubeflow, Databricks, etc. more »

to ensure data is accessible, reliable, and ready for analysis. Key Responsibilities: Data Pipeline Development : Design, build, and maintain data pipelines to ingest, transform, and load data from various sources into AWS data storage solutions. Data Integration : Implement ETL (Extract, Transform, Load) processes using AWS services such as AWS Glue … Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and database design. Soft Skills : Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Detail-oriented more »

to ensure data is accessible, reliable, and ready for analysis. Key Responsibilities: Data Pipeline Development : Design, build, and maintain data pipelines to ingest, transform, and load data from various sources into AWS data storage solutions. Data Integration : Implement ETL (Extract, Transform, Load) processes using AWS services such as AWS Glue … Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and database design. Soft Skills : Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Detail-oriented more »

believe in the power of being... YOU! About the role We are seeking a highly skilled Senior Data Engineer with a strong focus on Extract, Transform, Load (ETL) processes to join our growing team. This role will be fully remote, offering flexibility and the chance to contribute significantly to our … data infrastructure. Key responsibilities of the Senior Data Engineer; Design, develop, and implement robust ETL pipelines to extract data from various sources (databases, APIs, etc.). Cleanse, transform, and validate data to ensure high quality and consistency before loading it into data warehouses or data lakes. Designing and implementing CI …/CD workflows for data engineering projects. Optimize ETL processes for efficiency, scalability, and performance. Develop and maintain documentation for data pipelines and data models. Troubleshoot and resolve ETL-related issues, ensuring data accuracy and integrity. Collaborate with data analysts, data scientists, and other engineers to understand data needs and more »

believe in the power of being... YOU! About the role We are seeking a highly skilled Senior Data Engineer with a strong focus on Extract, Transform, Load (ETL) processes to join our growing team. This role will be fully remote, offering flexibility and the chance to contribute significantly to our … data infrastructure. Key responsibilities of the Senior Data Engineer; Design, develop, and implement robust ETL pipelines to extract data from various sources (databases, APIs, etc.). Cleanse, transform, and validate data to ensure high quality and consistency before loading it into data warehouses or data lakes. Designing and implementing CI …/CD workflows for data engineering projects. Optimize ETL processes for efficiency, scalability, and performance. Develop and maintain documentation for data pipelines and data models. Troubleshoot and resolve ETL-related issues, ensuring data accuracy and integrity. Collaborate with data analysts, data scientists, and other engineers to understand data needs and more »

key role in transforming raw data into actionable insights that empower our business users to make data-driven decisions. Responsibilities: Utilise Power Query to extract, transform, and load (ETL) data for analysis in Power BI. Connect to various data sources, cleanse, and transform data to ensure accuracy and consistency. Design more »

with key stakeholders across the business to understand how data can be used to improve business performance - Develop and create the data sets, repositories, extract/transform/load routines and validation mechanisms - Establish the integration with all databases and software systems - currently in place is Netsuite as the ERP more »