51 to 75 of 504 ETL Jobs in the UK

support planning and contribute to continuous improvement within a fast-evolving data team. You will: Build, maintain, and optimise Azure-based data pipelines Develop ETL/ELT workflows into the silver layer powering BI Work with ADF (critical), SQL, Azure Blob Storage, Power BI, Git & Azure DevOps Engage, challenge, and ...

technical teams A security-first mindset when designing and implementing solutions Qualifications & Experience Essential Strong version control principles relating to databases Experience with ETL processes (SSIS or Azure Data Factory preferred) High availability and disaster recovery for SQL Server environments Administering, managing, and maintaining large-scale databases Advanced performance tuning ...

data platforms and analytics architecture across cloud environments, primarily using Microsoft Azure and Microsoft Fabric. Build and optimise end-to-end data pipelines and ETL/ELT processes to support reporting, analytics, and operational use cases. Own data reliability, performance, quality, and availability across core data assets. Data Platforms, Governance ...

structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines . Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Experience supporting and collaborating ...

performance tuning and model management. Proven ability to manage and optimize very large datasets in Power BI and Azure. Solid understanding of SQL, ETL processes, and data warehousing. Familiarity with Azure Synapse, Data Lake, and Analysis Services (AAS/SSAS). Strong performance tuning: aggregations, incremental refresh, Hybrid tables, Direct ...

across the business grows. What you’ll be doing Help shape and deliver a refreshed data strategy and analytics platform Build reliable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Design and optimise core data models, dimensional, analytics-ready, built to last Create trusted data ...

across the business grows. What you’ll be doing Help shape and deliver a refreshed data strategy and analytics platform Build reliable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Design and optimise core data models, dimensional, analytics-ready, built to last Create trusted data ...

across the business grows. What you’ll be doing Help shape and deliver a refreshed data strategy and analytics platform Build reliable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Design and optimise core data models, dimensional, analytics-ready, built to last Create trusted data ...

across the business grows. What you’ll be doing Help shape and deliver a refreshed data strategy and analytics platform Build reliable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Design and optimise core data models, dimensional, analytics-ready, built to last Create trusted data ...

while promoting best practices and operational excellence. Key Responsibilities Lead the design, development, and optimisation of enterprise data engineering platforms Build and maintain robust ETL/ELT pipelines integrating large, complex datasets Work with structured, semi-structured, and unstructured data across SQL and NoSQL technologies Develop solutions using Hadoop, Spark ...

across the business grows. What you’ll be doing Help shape and deliver a refreshed data strategy and analytics platform Build reliable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Design and optimise core data models, dimensional, analytics-ready, built to last Create trusted data ...

OpenAPI), and testing tools (e.g. Postman). Proficiency in SQL and scripting languages such as Python or R . Solid understanding of data modelling, ETL processes , and system integration . Experience working with Azure and Microsoft data tools including Power BI , Azure Foundry , and Fabric . Excellent communication skills and ...

business increases. What you'll be doing Helping shape and deliver a refreshed data strategy and modern analytics platform Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Designing and optimising core data models that are dimensional, analytics-ready, and built to last ...

Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes Implement modern data pipeline patterns, event-driven architectures, ETL/ELT processes, and stream processing solutions Translate business requirements into technical specifications and actionable solution designs Work with metadata management and data governance tools ...

Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes Implement modern data pipeline patterns, event-driven architectures, ETL/ELT processes, and stream processing solutions Translate business requirements into technical specifications and actionable solution designs Work with metadata management and data governance tools ...

Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes Implement modern data pipeline patterns, event-driven architectures, ETL/ELT processes, and stream processing solutions Translate business requirements into technical specifications and actionable solution designs Work with metadata management and data governance tools ...

Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes Implement modern data pipeline patterns, event-driven architectures, ETL/ELT processes, and stream processing solutions Translate business requirements into technical specifications and actionable solution designs Work with metadata management and data governance tools ...

strategic goals. What will make you successful? Extensive experience as an Enterprise Data Architect in a complex, regulated environment. Deep knowledge of data modelling, ETL, data warehousing, and cloud platforms (Azure, AWS, or GCP). Strong understanding of data governance, MDM, and regulatory compliance. Familiarity with aviation systems (e.g., AODB ...

aptitude such as Computer Science, Data Engineering or a related field, is essential Knowledge & Experience: Essential: Some knowledge of data extraction, transformation, and loading (ETL) Introductory experience working with Power BI Advanced Excel skillset Desirable: Familiarity working with APIs, including to retrieve data from external sources, API configuration and data ...

engineers, fostering a culture of technical excellence within the teamData Engineering ExpertiseDeep understanding of data engineering principles and best practices, including data modeling, observable ETL/ELT processes, data warehousing, and data governanceProficiency in data manipulation languages (e.g., SQL/DBT) and programming languages relevant to data engineering (e.g., Python ...

Build robust data models, including advanced DAX calculations and Power Query transformations, to support accurate and performant reporting. Own ETL processes to extract, transform, and load data from multiple sources into accessible datasets. Collaborate closely with stakeholders to gather requirements and translate them into effective reporting solutions. Implement and manage … including data modelling, DAX, and Power Query. Proven experience working with relational data and writing SQL to query and prepare data. Solid understanding of ETL principles and experience building or working with ETL pipelines from multiple data sources. Familiarity with Microsoft Azure data services such as Azure Data Factory, Azure ...

Azure, or GCP) Advanced SQL skills and experience with at least one backend language (Python, Scala, Java, etc.) Hands-on experience with data warehouses, ETL/ELT, and distributed systems A mindset focused on performance, reliability, automation, and scalability Confidence working cross-functionally and owning technical decisions Exposure to large ...

advanced measures and analytical logic. Conduct data analysis to support planning, forecasting, and strategic initiatives. Ensure reporting accuracy and alignment with business objectives. Manage ETL processes across SQL, APIs, spreadsheets, and cloud data sources. Work closely with Data Engineering to enhance pipelines and improve data quality. Document data processes and ...

with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment Experience with analytical data modelling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts Experience with data governance concepts: access control, retention, data classification, auditability, and compliance standards Familiarity with CI/ ...

Engineering experience Excellent Python and SQL skills Experience in big data environments (e.g., Spark, distributed systems, cloud data platforms) Solid understanding of data modeling, ETL/ELT, and pipeline architecture Willingness to work onsite in Edinburgh or London 3 days/week Nice to Have Exposure to ML/ ...