426 to 450 of 601 ETL Jobs in the UK excluding London

workloads onto secure, scalable cloud platforms. Where Purpose Meets Career Work on large-scale cloud transformation programmes , helping organisations modernise critical data integration and ETL capabilities. Grow your technical expertise across Informatica, cloud technologies, data migration, and modern data engineering practices. Be part of a collaborative team of data specialists … full value of their data. About the Role We are seeking an experienced Informatica Engineer to support the migration and modernisation of enterprise ETL pipelines and data integration solutions. Working under the guidance of the Informatica SME, you will be responsible for building, re-engineering, testing, and validating Informatica mappings ...

transform raw data into actionable intelligence. You'll be responsible for: Developing and enhancing a cloud-based Data Warehouse using SQL Designing and maintaining ETL pipelines using AWS Glue and related technologies Building impactful dashboards and visualisations in Power BI Partnering with stakeholders across the business to understand reporting and … experience in a Data Analyst or similar role Strong SQL skills and experience working with large datasets Good working knowledge of Python Experience building ETL processes using AWS Glue or equivalent technologies Power BI or other modern data visualisation tools Strong analytical and problem-solving capabilities Excellent stakeholder engagement and ...

will be doing? The key purpose of this role is to deliver new, and implement changes to existing data solutions, data extraction and transform (ETL), using the full Microsoft SQL stack, for identified and agreed business requirements. In addition, the Senior Data Engineer will be responsible for translating business requirements … delivery and maintenance of technical on-premises SQL and Azure Cloud data engineering solutions, ensuring alignment with business priorities and best practice Implementing robust ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines and Azure Databricks (PySpark/Spark SQL) to support batch and streaming data processing Designing and ...

development and ongoing improvement of the organisations data platform and warehouse. Design, build and optimise reliable data pipelines across multiple source systems. Develop scalable ETL/ELT processes to transform complex operational data into trusted, usable datasets. Lead the modernisation of the existing data warehouse and data platform, with Microsoft … with Microsoft SQL Server and SQL Server Management Studio. Proven experience designing and developing data warehouses, analytical platforms and data pipelines. Strong understanding of ETL/ELT, data transformation and pipeline architecture. Solid knowledge of data modelling, including dimensional modelling, Kimball, star schemas and/or medallion architecture. Hands ...

dashboards to monitor the performance of LPS facilities. Provide analytical support across a range of LPS strategic initiatives. Key Responsibilities Monoline Facilities – Data & Analytics Extract, interrogate and analyse data to support the Portfolio solutions Lead in internal scoping discussions with relevant stakeholders, using BI and analytics to identify opportunities and … remains current and reliable as facilities grow and data sources evolve. Must-Have Skills & Experience End-to-end development of Power BI reports, including ETL, data modelling, DAX expression writing and report creation. Proficiency in SQL development and good practices in query writing and optimisation. Good understanding of relational databases ...

Data Engineer, you’ll support the successful delivery of a scalable data intelligence platform in Azure. This will provide the services and tools to extract deeper insights from big and complex data using predictive analytics and AI. This in turn will enable the uncovering of actionable insights previously hidden … Microsoft Azure environment using native technologies and RDS (SQL Server) toolsets. Experience with dimensionally modelled databases for analytics use cases. Knowledge of ETL tools and approaches. Hands-on experience with Microsoft Azure technologies, including MS Fabric, Data Factory, Azure Synapse & RDS. Experience with Python or PySpark for scripting and automating ...

Databricks Proficient in Microsoft Azure, including Azure Data Factory and Azure Data Lake Advanced SQL and Python or PySpark skills Experience building enterprise-level ETL/ELT pipelines Knowledge of data modelling, governance, and data quality Previous consultancy or client-facing delivery experience Excellent communication and stakeholder-management skills What … Design and develop scalable data pipelines and cloud data platforms Build solutions using Snowflake, Databricks, and Azure Data Services Develop robust ETL/ELT workflows for complex datasets Optimize data models, platform performance, and processing costs Support data migration, integration, and transformation programmes Provide technical guidance and promote data engineering ...

Engineering, reporting into the Lead Data Engineer. Development background with exposure to Data Warehousing at scale on both cloud and on-premise Experience developing ETL solutions in GCP including Python and SQL as well as SQL Server including SSIS & T-SQL Exposure to DW development practices (code & configuration management, build … processes) Strong understanding of enterprise level data warehouse architectures, data modelling concepts, and ETL/ELT best practices Ability to take business requirements and work with other team members to estimate and design end-to-end solutions Experience working in Agile delivery models with CI/CD pipelines for automated ...

delivering cutting-edge data solutions across a range of exciting customer projects. What you'll doDesign, build and optimise Snowflake data warehouse solutionsDevelop scalable ETL pipelines and data modelsIntegrate Snowflake with Azure and AWSOptimise data performance, quality and securityCollaborate with customers and project teams to deliver high-quality solutionsAct … delivery teamsWhat you'll needProven experience designing and implementing Snowflake data warehouse solutionsStrong SQL/T-SQL and data modelling skillsExperience with Python and ETL developmentKnowledge of Azure and/or AWS cloud platformsExperience working within Agile environmentsExcellent communication and stakeholder management skillsDesirable Terraform, CI/CD, Docker, Kubernetes and ...

data engineering teams within Agile delivery environments. Support the design, implementation, and optimisation of modern data platforms and associated infrastructure. Build and maintain scalable ETL processes and data pipelines following industry best practices. Automate routine operational and data-related processes to improve efficiency and reduce manual intervention. Perform functional and … Experience designing, deploying, and optimising cloud infrastructure. Experience with modern data engineering platforms and tooling, including Databricks. Strong understanding of data pipeline development and ETL processes. Experience implementing automation solutions to streamline operational activities. Strong troubleshooting and problem-solving skills. Ability to work effectively within cross-functional technical teams. Desirable ...

and operational workloads to secure, scalable cloud environments. Where Purpose Meets Career Lead the modernisation of enterprise data integration platforms , helping organisations migrate critical ETL and data processing workloads to the cloud. Influence technical strategy and architecture decisions , ensuring robust, scalable, and future-ready data integration solutions. Work alongside highly … support the successful adoption of new solutions. Key Responsibilities Provide expert guidance on Informatica architecture, mappings, integration patterns, and cloud re-platforming approaches. Define ETL migration strategies, source-to-target mapping methodologies, and validation approaches in collaboration with delivery teams. Support the development of High-Level Designs (HLDs), Low-Level ...

Responsibilities Design, develop and maintain robust, scalable data pipelines using Databricks, helping to build and shape the wider data platform. Build and optimise ETL processes that bring together data from a range of sources and make it ready for reporting, analytics and insight. Create high-quality SQL and Python transformations … ability to develop and support data engineering workloads. Advanced SQL skills, with confident use of joins, CTEs, window functions and data modelling techniques. Solid ETL and data integration experience, with an understanding of how to bring together data from multiple sources effectively. Strong development skills in SQL and Python Experience ...

Specifically, you can expect to be involved in the following: Lead the design, build, and enhancement of a modern Azure data platform. Develop scalable ETL and ELT pipelines using Azure Data Factory and Azure SQL. Implement robust data quality, validation, and monitoring frameworks. Deliver a layered data architecture that supports … following skills and experience: Strong commercial experience building and supporting production data platforms. Expertise with Azure Data Factory and Azure SQL. Experience developing ETL or ELT pipelines and transformation logic in production environments. Knowledge of data quality frameworks, validation processes, and monitoring. Experience implementing layered or medallion-style data architectures. ...

Specifically, you can expect to be involved in the following: Lead the design, build, and enhancement of a modern Azure data platform. Develop scalable ETL and ELT pipelines using Azure Data Factory and Azure SQL. Implement robust data quality, validation, and monitoring frameworks. Deliver a layered data architecture that supports … following skills and experience: Strong commercial experience building and supporting production data platforms. Expertise with Azure Data Factory and Azure SQL. Experience developing ETL or ELT pipelines and transformation logic in production environments. Knowledge of data quality frameworks, validation processes, and monitoring. Experience implementing layered or medallion-style data architectures. ...

while making a visible impact across the wider business. You Will Work With Designing, developing and maintaining data pipelines within Databricks. Building and optimising ETL/ELT processes for data ingestion and transformation. Supporting and enhancing a business-critical reporting and analytics platform. Developing SQL and Python/PySpark-based … Data Engineer. Strong commercial experience with Databricks. Advanced SQL skills and experience working with complex relational databases. Hands-on experience building and supporting ETL/ELT pipelines. Strong Python and/or PySpark development experience. Experience with SQL Server or similar database technologies. Excellent problem-solving skills and the ability ...

tools (PowerBi, OBIEE, Tableau, QlikView etc). Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Business functional knowledge - able to work with Business SMEs to relate the process … tools (PowerBi, OBIEE, Tableau, QlikView etc). Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Business functional knowledge - able to work with Business SMEs to relate the process ...

data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with … and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development ...

Contribute to the development and optimisation of the organisation’s Microsoft Fabric platform, including Lakehouse/Warehouse design and data pipelines. Design and manage ETL/ELT pipelines, using Power Automate, Fabric Data Factory, or similar tooling. Own the end-to-end BI lifecycle, from source data ingestion and modelling … pipelines, and performance optimisation. Experience working with Microsoft Fabric or equivalent modern data platforms (data warehouses, lake houses). Proven experience designing and maintaining ETL/ELT processes, using tools such as Power Automate, Fabric Data Factory, or similar. Experience building scalable, reusable BI datasets that support multiple reporting and ...

iamproperty is seeking a Data Migration & Implementation Lead to head a small technical team and deliver migrations from third‐party CRM systems into our CRM platform, combining leadership, engineering and delivery management to minimise client ...

leverage Java and Scala to build pipelines, manage distributed big data frameworks, and optimize our data platform. The role emphasizes strong SQL, Java development, ETL/ELT experience, and collaboration with data architects and stakeholders to translate requirements into robust data solutions. Onsite in Glasgow with 3 days per week ...

bring to Slalom Familiarity with platform authentication patterns (SAML, SSO, OAuth) Knowledge of data integration tools and experience integrating Salesforce with different business systems (ETL, CPQ, marketing automation, reporting, etc.) Strong understanding of environment management, release management, code versioning best practices, and deployment methodologies Extensive Apex VF Controllers and Apex ...

and applications. The ideal candidate will own the full lifecycle of software development—from requirements gathering to design, build, and implementation—and will drive ETL processes, UAT, and production cutovers with strong stakeholder communication. #J-18808-Ljbffr ...

faster, better-informed decisions from diverse datasets. Working alongside data scientists, engineers and consultants, you’ll implement cloud-native architectures on AWS, develop scalable ETL/ELT pipelines, and apply DevSecOps and IaC practices to deliver robust, secure data #J-18808-Ljbffr ...

Change is seeking a Data Engineer to join a greenfield enterprise knowledge management program. You’ll shape target-state architecture, build scalable ETL/ELT pipelines and develop knowledge graphs with GCP, BigQuery, Spanner and Neo4j. Hybrid working model (Manchester/Edinburgh/Leeds) with about 2 days onsite ...

Change is seeking a Data Engineer to join a greenfield enterprise knowledge management program. You’ll shape target-state architecture, build scalable ETL/ELT pipelines and develop knowledge graphs with GCP, BigQuery, Spanner and Neo4j. Hybrid working model (Manchester/Edinburgh/Leeds) with about 2 days onsite ...