51 to 75 of 533 ETL Jobs in the UK

data architecture practice, ideally within complex organisations. Demonstrable technical expertise spanning: Cloud data platforms and ecosystems: e.g. Microsoft Azure, AWS Data engineering and integration: ETL/ELT, Orchestration, Batch and streaming architectures, event driven and messaging platforms, API-first design, Integration frameworks. Database & storage technologies: SQL Server, Oracle, NoSQL, Analytical ...

teams o Experience operating within agile delivery environments Data & Integration Expertise o Strong understanding of integration design patterns (REST APIs, message queues, eventdriven integration, ETL, batch processing). o Experience working with master data domains (Party, Facility, Instrument, Product, Country, Sector, Ratings). Technology & Platform Knowledge o Hands-on architectural ...

Revit, Revit API, pyRevit, Rhino, Grasshopper, IES VE (and its Python API), BIM data standards (IFC, COBie) Cloud & Infrastructure: AWS/Azure, Git, Ansible Extract, Transform and Load (ETL) Responsibilities Key responsibilities of the role In addition to the core technology listed above, this role will involve: Designing and implementing ...

patterns. Strong understanding of methodologies and principles of data science and MLOps, including model development, validation, and lifecycle management. Experience in data pipeline design, ETL/ELT processes, and data integration approaches and appreciation of trade-offs associated with specific use-cases and architectural choices. Knowledge of data visualisation good ...

including data lakes, lakehouses, and data warehouses Experience working with APIs, databases, and structured/semi-structured data Engineering & Platform Foundations Experience building scalable ETL/ELT pipelines Familiarity with CI/CD concepts , testing, and production deployments Strong focus on solution quality, maintainability, and performance Bachelor’s or Master ...

implemented efficient and scalable data models that support reporting and analytics requirements. • Used Power Query (or similar tools) for data extraction, transformation, and loading (ETL) processes to prepare data for analysis. • Demonstrable skill in performing data analysis on large datasets and preferably worked in data engineering roles to analyse and ...

shaping best practices and supporting the wider team. Specifically, you can expect to be involved in the following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability ...

shaping best practices and supporting the wider team. Specifically, you can expect to be involved in the following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability ...

shaping best practices and supporting the wider team. Specifically, you can expect to be involved in the following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability ...

and Experience You will bring • Strong commercial experience using Power BI, including report development, DAX and data modelling • Strong SQL skills • Experience working with ETL processes and data pipelines • Experience working across the full BI lifecycle and delivering complex BI solutions • Ability to work with senior stakeholders and translate business ...

and Experience You will bring * Strong commercial experience using Power BI, including report development, DAX and data modelling * Strong SQL skills * Experience working with ETL processes and data pipelines * Experience working across the full BI lifecycle and delivering complex BI solutions * Ability to work with senior stakeholders and translate business ...

contributing to the successful delivery of end-to-end data engineering projects. Responsibilities Design, build and deliver data solutions using Databricks Develop and optimise ETL/ELT data pipelines using Spark, Python and SQL Build and maintain data lakes and data warehousing solutions Collaborate with stakeholders to deliver scalable and ...

Collaborate with stakeholders and support reporting users Data Engineer Required Skills Strong experience with SQL Server and complex datasets Experience building data pipelines and ETL processes Knowledge of database schema design and permissions Experience with Power BI and reporting solutions Understanding of the Software Development Lifecycle (SDL C) Strong stakeholder ...

and datasets Build and govern advanced data models (star schema, dimensional modelling, enterprise structures) Optimise datasets, composite models, and DAX performance for scalability Lead ETL/ELT design within Microsoft Fabric Lakehouse architecture Develop and orchestrate data pipelines across ingestion, transformation, and modelling layers Optimise and monitor data workflows using ...

data function, they offer a place where you can make meaningful technical impact. The Role * Design and maintain end to end ELT and ETL pipelines within a large scale AWS environment. * Build well structured data models and curated layers to support reporting and analytics. * Improve data quality, observability, governance, and ...

offering great depth and technical challenge. You will work with Leading BI development centred around Microsoft Fabric Lakehouse architecture Designing and developing enterprise-level ETL/ELT pipelines across Fabric and Data Lakes Working directly with Infor M3 data structures and translating ERP data into scalable BI models Building robust ...

application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Databricks, Apache Spark, PySpark, SQL, Python, Kafka, AWS, Delta Lake, ETL, Data Pipelines, CI/CD, Big Data ...

with batch and/or streaming data processing Awareness of data governance and best practices Technical Skills Strong Python and SQL skills Experience building ETL/ELT pipelines Exposure to orchestration tools (e.g. workflows, dbt, or similar) Experience with version control and CI/CD tooling is a plus ...

with programme standards. Skills & Experience Essential: Proven experience delivering IT or ERP-related projects using Agile, Waterfall or hybrid methodologies. Hands-on experience with ETL processes within major ERP implementations (e.g., Oracle, SAP, Fusion). Strong analytical and problem-solving capability with excellent attention to detail. Expertise in relational and ...

enablement across the business. 🌐 What You’ll Do 🏗 Data Platform Architecture & Strategy Define and evolve the data architecture roadmap Design scalable ELT/ETL frameworks using DBT and cloud data warehouses Establish orchestration standards (Dagster or equivalent) Drive decisions across batch, streaming, and real-time pipelines Champion data modelling standards ...

and optimisation At least one data engineering programming language (e.g., Python) Data modelling (dimensional, star schema, analytics-optimised models) Building and maintaining production-grade ETL/ELT pipelines Orchestration and scheduling tools Version control (e.g., Git) CI/CD principles for data workloads Environment separation (Dev/Test/Prod ...

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 ...

time allocated to ensure you have time to learn. Required Experience Experience working in a Managed Service team supporting Azure based Production Data & Analytics ETL/integration solutions (Fabric, Databricks, Synapse, Data Factory, Function Apps, Power BI etc) against SLAs Python, PySpark, Scala, Spark SQL Ability to identify and investigate ...

skills (joins, CTEs, window functions) and experience with SQL Server. Strong understanding of dimensional modelling and data warehouse principles. Experience building and maintaining ETL pipelines. Excellent analytical, problem solving, and troubleshooting skills. Strong communication skills, able to translate complex data concepts for non technical audiences. Desirable Skills Experience with Atlassian ...

Strong understanding of distributed processing (e.g. Apache Spark). Familiarity with the Hadoop ecosystem . Working knowledge of SQL and NoSQL technologies. Understanding of ETL vs ELT trade-offs . Awareness of DevOps and CI/CD for data platforms. Understanding of how ML/AI workloads integrate with data ...