76 to 100 of 461 ETL Jobs in the UK

Scotland (Hybrid) - All employees must be eligible to work without sponsorship Salary: £70,000 - £85,000 The Role: Lead the Data team to deliver ETL processes, build and maintain data pipelines, enhance scalability, performance, maintainability, configurability and usability Be involved in the entire life-cycle of the Data Strategy, including more »

Bundles (DAB's) for streamlining the development of complex data and analytics for the Databricks platform. (IaC) Strong understanding of data warehousing concepts and ETL processes. Excellent problem-solving skills and attention to detail. Ability to work independently in a remote setup with minimal supervision. Role details: Job role: Senior more »

Bundles (DAB's) for streamlining the development of complex data and analytics for the Databricks platform. (IaC) Strong understanding of data warehousing concepts and ETL processes. Excellent problem-solving skills and attention to detail. Ability to work independently in a remote setup with minimal supervision. Role details: Job role: Senior more »

Data Warehouse team across the business through appropriate meetings around BAU and projects. Deliver analysis and development of business requirements through the following: Support ETL architecture for overall data migration, data models, data mappings, business logic and data cleansing methods. Designing and scheduling complex SSIS Packages, PowerShell scripts for transferring more »

Data Warehouse team across the business through appropriate meetings around BAU and projects. Deliver analysis and development of business requirements through the following: Support ETL architecture for overall data migration, data models, data mappings, business logic and data cleansing methods. Designing and scheduling complex SSIS Packages, PowerShell scripts for transferring more »

deadlines. Develop and uphold the best practice standards, design patterns and documentation for data management and data engineering. Design, build, and manage data pipelines, ETL processes, and data orchestration workflows that transfer data smoothly across different systems and platforms. Create system design for integrating and managing data. Ensure that you more »

Data Warehouse team across the business through appropriate meetings around BAU and projects. Deliver analysis and development of business requirements through the following: Support ETL architecture for overall data migration, data models, data mappings, business logic and data cleansing methods. Designing and scheduling complex SSIS Packages, PowerShell scripts for transferring more »

quality Business Intelligence products and solutions Good understanding of the Microsoft technology stack, specifically PowerBI, Databricks & Azure Cloud Proficiency in SQL, good understanding of ETL and ELT processes Strong communication skills, ability to translate complex messages into concise, easy-to-understand messages Strong story telling skills, ability to create a more »

management of an Azure cloud-based data & analytics platform. • Comprehensive experience in the complete data pipeline development process, encompassing data warehousing, data analytics, and ETL processes. • Profound understanding of best practices in data governance, privacy, and quality. • Exceptional skills in communication, leadership, and team management. • Capability to handle multiple tasks more »

processes. Develop, optimise, and maintain Power BI Reports, Apps and Dashboards in line with business requirements, supporting continuous improvement. Responsible for the management of ETL processes, including but not limited to, D365 F&O data exports, SQL data transformation and Power BI data model refreshes. Monitor all BI data processes more »

contribute to the technical aspects in the upkeep of the data estate. Focusing on hands-on development, enhancement, and maintenance of data models and ETL processes within the data estate You will emphasise the importance of data quality and governance in your project work, contributing to the organisational data model more »

global business logic into the output’s tables. Ensure a high level of data governance across all data sources Assist in monitoring and improving ETL processes Produce recommendations based on findings Feedback any highlights/concerns to the team. Work closely with wider MI & R and TSOC teams such as more »

management of an Azure cloud-based data & analytics platform. Comprehensive experience in the complete data pipeline development process, encompassing data warehousing, data analytics, and ETL processes. Profound understanding of best practices in data governance, privacy, and quality. Exceptional skills in communication, leadership, and team management. Capability to handle multiple tasks more »

modelling, data mart, and data warehouse development Exposure to Snowflake: building stages, creating schemas and scheduling tasks would be a distinct advantage Understanding of ETL/ELT best practices Exposure in some form of Project Management methodology, existing team work to a version of agile Understanding of Data visualisation principles more »

analytic role, with a focus on analysis, reporting and visualisation in Looker Studio + Highly proficient in GCP/GBQ, SQL, data modelling and ETL processes + Experience with Supermetrics, GitHub, DBT, Google Big Query and Shopify + Strong communication and presentation skills to effectively convey insights to both technical more »

and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team and more »

with Amazon Web Services a strong plus - CloudFormation, EMR, S3, EC2, Athena etc. Experience with scheduling services such as Airflow, Oozie. Experience with Data ETL and data modeling Experience with building large-scale systems with extensive knowledge in data warehousing solutions. Developing prototypes and proof-of-concept systems. Strong analytical more »

with Amazon Web Services a strong plus - CloudFormation, EMR, S3, EC2, Athena etc. Experience with scheduling services such as Airflow, Oozie. Experience with Data ETL and data modeling Experience with building large-scale systems with extensive knowledge in data warehousing solutions. Developing prototypes and proof-of-concept systems. Strong analytical more »

Data Engineering experience? Strong knowledge of MS SQL Server on Azure? A background in the design, build, and maintenance of ADF data pipelines to extract, transform, and load (ETL) data from various sources into Data Warehouses? Exposure to Azure Synapse Analytics? Excellent communication skills? Would you like? Work for an more »

reporting on critical project data across the construction lifecycle. You will work closely with data analysts and IT to leverage the project data lake, ETL processes, and Power BI to deliver insightful reports and dashboards to stakeholders. Key Responsibilities: Implement and maintain reporting processes, including monthly reports Collaborate with PMO more »

reporting on critical project data across the construction lifecycle. You will work closely with data analysts and IT to leverage the project data lake, ETL processes, and Power BI to deliver insightful reports and dashboards to stakeholders. Key Responsibilities: Implement and maintain reporting processes, including monthly reports Collaborate with PMO more »

Mathematics, or related field 📊 Experience : Proven Data Engineer experience, preferably in finance 💻 Skills : Python, SQL, NoSQL, big data tools Cloud platforms (AWS, Azure, GCP) ETL processes and database design Join us and make a difference more »

Azure and Snowflake, enhancing data capabilities for analytics and science. What you need: 3+ years of hands-on experience as a Data Engineer, building ETL pipelines and managing data lifecycle. Strong Python coding experience. 2+ years of commercial experience developing in Snowflake. Good understanding of cloud principles (ideally Azure but more »

with excellent analytical and problem-solving abilities Expertise using modern data tools (SQL, Python) Snowflake and AWS experience preferred. Good knowledge of Data Warehouses, ETL pipelines Good understanding of Cloud-based environments AWS and/or Azure Good appreciation of the modern software development lifecycle, CI/CD Benefits for 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 »