351 to 375 of 512 ETL Jobs in the UK

business decision-making and future growth. Key Responsibilities Designing and implementing database structures, stored procedures, and applications. Improving system efficiency through query tuning and performance monitoring. Developing and supporting ETL pipelines to bring data together from a variety of sources. Safeguarding data accuracy and integrity through quality controls and validation. Managing database security, backups, and recovery processes. Producing clear technical More ❯

business decision-making and future growth. Key Responsibilities Designing and implementing database structures, stored procedures, and applications. Improving system efficiency through query tuning and performance monitoring. Developing and supporting ETL pipelines to bring data together from a variety of sources. Safeguarding data accuracy and integrity through quality controls and validation. Managing database security, backups, and recovery processes. Producing clear technical More ❯

Analyse, cleanse, and prepare legacy master data across Finance, HR, and Payroll. Identify and resolve data quality issues, ensuring "clean" data for migration. Collaborate with the systems integrator on ETL activities, reviewing extracted and transformed data before loading. Provide guidance to the business on data standards and cleansing priorities. Support ongoing data quality checks post-migration. Essential Experience Proven experience More ❯

to move data to new platforms. • Identifying, scope and develop migration/transfer solutions. • Strong data skills and be adept at querying large datasets, as well as familiar with ETL concepts and tools such as Alteryx. • Experience working in financial services/banking. • Experience in KYC processes. • The ability to identify, manage and maintain Risk (RAID) Logs. More ❯

Proficiency in JavaScript and Web API Clear experience of technical leadership and providing coaching and mentoring to less-experienced Developers Knowledge of SSRS, SSIS, FetchXML or other reporting and ETL tools would be an advantage Any experience of Dynamics 365 CRM would also be looked upon favourably The list above is important, but not as important as hiring the right More ❯

markets and portfolio risk concepts Ability to thrive in a fast-paced, collaborative environment. Nice to have Requirements Exposure to real-time trading systems and algorithmic execution Familiarity with ETL pipelines and large-scale data infrastructure Knowledge of portfolio risk frameworks Graduate-level research or professional experience in quantitative finance or commodities trading. What you'll get We will challenge More ❯

AI systems combining text, image, and structured data Reinforcement Learning from Human Feedback (RLHF) for model alignment Production ML Systems: Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management Model versioning and experiment tracking (MLflow, Weights & Biases) Real-time model serving and edge deployment strategies A/B testing frameworks for ML model evaluation This role has More ❯

of Norwich. We’re looking for someone who thrives at the intersection of strategy and delivery: an architect who enjoys rolling up their sleeves, building high-quality SQL and ETL solutions, and turning complex datasets into impactful Power BI dashboards that drive decision-making.What you’ll be doing Lead the design, optimisation, and ongoing evolution of a cloud-based Azure … data estate. Build and maintain SQL models, queries, and stored procedures to deliver accurate, performant datasets. Develop and manage ETL/ELT pipelines using Azure Data Factory and Python. Create engaging Power BI dashboards using advanced DAX and Power Query/M. Ensure strong governance and data quality standards, providing a trusted “single source of truth.” Work with stakeholders across … data stack (Data Factory, Data Lake Gen2, SQL MI, Power BI, Purview). Strong Power BI skills (advanced DAX, Power Query/M). Solid understanding of data modelling, ETL design, and relational database principles. Proficiency with Python for automation and API integrations. Excellent communication and stakeholder management skills. Previous experience leading or mentoring a technical team. Experience supporting M More ❯

making. Working closely with BI and Analytics teams, you'll help evolve our data warehouse and implement best-in-class engineering practices across Azure. Key Responsibilities Build and enhance ETL/ELT pipelines in Azure Databricks Develop facts and dimensions for financial reporting Collaborate with cross-functional teams to deliver robust data solutions Optimize data workflows for performance and cost … platform Explore new technologies to improve data ingestion and self-service Essential Skills Azure Databricks : Expert in Spark (SQL, PySpark), Databricks Workflows Data Pipeline Design : Proven experience in scalable ETL/ELT development Azure Services : Data Lake, Blob Storage, Synapse Data Governance : Unity Catalog, access control, metadata management Performance Tuning : Partitioning, caching, Spark job optimization Cloud Architecture : Infrastructure-as-code More ❯

making. Working closely with BI and Analytics teams, you'll help evolve our data warehouse and implement best-in-class engineering practices across Azure. Key Responsibilities Build and enhance ETL/ELT pipelines in Azure Databricks Develop facts and dimensions for financial reporting Collaborate with cross-functional teams to deliver robust data solutions Optimize data workflows for performance and cost … platform Explore new technologies to improve data ingestion and self-service Essential Skills Azure Databricks : Expert in Spark (SQL, PySpark), Databricks Workflows Data Pipeline Design : Proven experience in scalable ETL/ELT development Azure Services : Data Lake, Blob Storage, Synapse Data Governance : Unity Catalog, access control, metadata management Performance Tuning : Partitioning, caching, Spark job optimization Cloud Architecture : Infrastructure-as-code More ❯

with the full end-to-end data development process within an Agile scrum framework. What do I need? Experienced with data warehouse and business intelligence, including delivering low-level ETL design and physical data models. Proficient in Data Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on … experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology (e.g., Informatica DEI). Proven ability to understand business processes, facilitate meetings with senior stakeholders, and translate business requirements into technical designs. Excellent communication and presentation skills, with the ability to work More ❯

Microsoft BI stack including SQL Server (2012 2022), SSIS, SSAS, SSRS, Power BI Strong SQL for querying and creation of tables/views and stored procedures Experience in designing ETL processes including knowledge of data warehousing strategies and theories Experience developing in Data Platform technologies in Azure such as Azure Data Factory, Azure Synapse, Logic Apps and Blob Storage Build … dashboards, reports and cubes using SQL, MDX, DAX and Power BI Develop new and maintain and improve existing ETL processes Understand dimension modelling ideally within a financial services sector Demonstrable understanding of how to develop quality software through: Testing frameworks and practices, including meeting NFRs Use of appropriate principles and patterns along with writing clean and secure code Integrating with More ❯

data ingestion pipelines on Microsoft Azure. Data Transformation & Modelling – Deliver modular, maintainable data models using DBT, ensuring alignment with analytics and business needs. Programming & Analytics – Leverage Python for automation, ETL, data validation, and integrating data from multiple sources. Quality & Performance – Ensure data accuracy, consistency, and efficiency, while optimising pipelines for cost and SLA performance. Collaboration – Work with stakeholders across analytics … and understanding of data warehousing best practices. Hands-on experience with Databricks and/or Microsoft Fabric. Proficiency with DBT for data modelling and transformation. Strong Python skills for ETL and data manipulation. Excellent communication and collaboration skills. Desirable: Azure, Databricks, or equivalent certifications. Experience in event, venue, or high-capacity performance data. Familiarity with BI tools (Power BI, Tableau More ❯

Senior BI Developer Permanent Location: Home/Rugby Salary: £45,000 - £53,000 (+ benefits) Skills: Power BI, (advanced), DAX, SQL Server, ETL/ELT, building impactful data dashboards for insights, Excellent Customer facing skills We're hiring a Senior BI Developer on behalf of a leading data consultancy - an ideal opportunity for someone with strong Power BI front-end … Object-Level Security Use tools such as Tabular Editor and DAX Studio for optimisation and deployment Collaborate with DevOps to implement CI/CD pipelines in Azure DevOps Support ETL/ELT processes using Azure Data Factory, Synapse, and related services Stay current with emerging technologies, including Microsoft Fabric, to shape future data strategies Deliver insights to technical and non More ❯

It is personal to all of us.” – Julie Sweet, Accenture CEO Job Qualifications Key responsibilities Deploy machine learning models to production and implement measures to monitor their performance Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based on software engineering best practice Define, document and iterate data mappings based on concepts and principles of data modelling … of different skills which include some of the below. Strong proficiency in Python Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Containerisation tools like Docker More ❯

Analyse existing data structures and understand business requirements for data migration. Design and implement robust data migration strategies. Develop scripts and processes to automate data extraction, transformation, and loading (ETL) processes. Work closely with stakeholders, including business users and IT teams, to ensure data requirements are met, and migrations proceed without disruption to business operations. Plan, coordinate, and execute data … migration projects within set timelines. Design and build ETL solutions, ensuring data quality and integrity throughout the migration process. Expertise on Data migrations on to cloud. Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Required Experience Expert-level SQL skills for complex query development … and data transformation to enable accurate and efficient migration from on-premises databases (SQL Server, Oracle, MySQL, NoSQL) to AWS cloud. Strong knowledge of data extraction, transformation, and loading (ETL) processes, leveraging tools such as Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi, or scripting languages (Python, PySpark, SQL). Understanding of data warehousing and data modelling techniques (Star Schema, Snowflake Schema More ❯

and alignment Conduct data quality assessments and contribute to data transformation strategies Essential Skills & Experience: Strong understanding of data structures and data quality assessment methodologies Hands-on experience with ETL (Extract, Transform, Load) processes Proven experience working within GDS (Government Digital Service) frameworks Demonstrated success in large-scale data transformation projects To apply , please ensure your experience aligns with the More ❯

workaround and permanent fixes through change control Uplift of the customer platform through suggested enhances and enacted agreed upon changes provide data fixes and small to medium BAU data ETL changes More ❯

workaround and permanent fixes through change control Uplift of the customer platform through suggested enhances and enacted agreed upon changes provide data fixes and small to medium BAU data ETL changes More ❯

workaround and permanent fixes through change control Uplift of the customer platform through suggested enhances and enacted agreed upon changes provide data fixes and small to medium BAU data ETL changes More ❯

deliver user-centric solutions. Use Gen AI tools to accelerate development and improve quality. Requirements: Strong experience with Scala, Java, and distributed systems (Spark). Hands-on expertise in ETL workflows, orchestration tools, and cloud platforms. Familiarity with Gen AI tools for coding and debugging. Solid understanding of data structures, algorithms, and database technologies. A collaborative mindset and a passion More ❯

deliver user-centric solutions. Use Gen AI tools to accelerate development and improve quality. Requirements: Strong experience with Scala, Java, and distributed systems (Spark). Hands-on expertise in ETL workflows, orchestration tools, and cloud platforms. Familiarity with Gen AI tools for coding and debugging. Solid understanding of data structures, algorithms, and database technologies. A collaborative mindset and a passion More ❯

Engineering, Health Informatics, or a related field. Proven experience in healthcare system integration, including HL7 v2/v3, FHIR, CDA, and RESTful APIs. Strong understanding of data exchange protocols, ETL processes, and middleware platforms. Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders. Desirable Skills & Experience Experience with cloud-based integration platforms (e.g., Mirth Connect More ❯

Hyper-V, as well as Kubernetes-based AI infrastructure. •Collaborate with compute, storage, and DevOps teams to ensure end-to-end performance across AI training, fine-tuning, inference, and ETL pipelines. •Drive network automation efforts using tools such as Python, Ansible, and Terraform, enabling Infrastructure-as-Code (IaC) for repeatable, scalable deployments. •Participate in performance tuning, benchmarking, and capacity planning More ❯

Hyper-V, as well as Kubernetes-based AI infrastructure. •Collaborate with compute, storage, and DevOps teams to ensure end-to-end performance across AI training, fine-tuning, inference, and ETL pipelines. •Drive network automation efforts using tools such as Python, Ansible, and Terraform, enabling Infrastructure-as-Code (IaC) for repeatable, scalable deployments. •Participate in performance tuning, benchmarking, and capacity planning More ❯