301 to 325 of 605 ETL Jobs in the UK excluding London

Henderson Group in Newtownabbey is seeking a Business Intelligence Data Engineer to design and develop scalable data solutions, build ETL pipelines and create meaningful insights that inform decision-making across the group. You will work across multiple divisions to modernise analytics, optimise data models, dashboards and data visualisations, and ensure ...

Leonard Curtis is seeking a Data Engineer to build, maintain, and optimise robust data pipelines. This role develops efficient ETL/ELT workflows using Microsoft Fabric tools and the Databricks Lakehouse Platform to deliver clean, production-ready data for enterprise analytics. You will implement Delta Live Tables, write PySpark and ...

experienced Data Engineers to design scalable data pipelines and cloud data platforms using Snowflake, Databricks, and Azure Data Services. You will work on complex ETL/ELT workflows, optimize data models, governance, and data quality, and collaborate directly with clients to deliver tailored solutions. #J-18808-Ljbffr ...

will optimise data storage, processing, and enable data-driven decision-making for diverse client projects. The role requires expertise in Azure data services, ETL/ELT patterns, and collaborating with stakeholders to deliver robust solutions in a fast-paced agile environment. Some on-site work at client sites is required. ...

Managed Instances, Oracle. Database schema design and implementation -Relational databases, T-SQL, Stored Procedures, Functions and Views, Indexes, SQL jobs and alerts. Strong ETL Development and Data Warehousing experience MS Fabric, SSIS, SSRS and Azure Data Factory Designing and maintaining CI & CD using tools like Azure DevOps Proven experience ...

determined as Outside IR35 and is offered on a fully remote basis. Key Requirements Strong Databricks development and data engineering experience Expertise in ETL and ELT pipeline development Hands-on experience with Microsoft Azure services Experience with Azure Data Warehouse Proven Azure Data Factory experience If this Data Engineer role ...

report design and development skills. Ability to manage priorities and deliver work to agreed deadlines. Strong communication and influencing skills. Knowledge of SSIS/ETL, SQL Server Data Tools, SQL Server data warehousing, Excel BI add-ons and SharePoint is desirable. Experience maintaining or developing custom applications and integrations with ...

Azure to Google Cloud Platform (GCP). Demonstrable experience mapping and migrating Azure services to their GCP equivalents. Experience migrating data warehouses, data lakes, ETL/ELT pipelines, and associated datasets from Azure into GCP environments. Strong understanding of Azure data services and the GCP ecosystem. Experience planning, executing, testing ...

working with Databricks in production. Excellent knowledge of Apache Spark, Delta Lake and Databricks Workflows. Strong Python and SQL skills. Understanding of Lakehouse architecture, ETL/ELT and distributed data processing. Databricks certification highly desirable. Expectation will be to be in office 1 day per week and offers a salary ...

facing consulting ability, and has hands‐on familiarity with GCP data platforms. Must‐Have Google Cloud Platform (GCP) — BigQuery (Data Lakehouse architecture, performance, scalability) ETL/ELT tools and integration patterns (batch, API‐based, CDC) Data governance & metadata management concepts (data catalogs, MDM, lineage tools) Data quality assessment/profiling ...

with both technical teams and customersNice to HaveExperience with any of the following would be an advantage: SaaS or enterprise data environmentsData integration or ETL processesGit or other version control toolsFamiliarity with semantic layer tools such as Cube or LookMWhy Apply? You'll be joining a highly collaborative team where ...

modern cloud data platform. Ability to engage senior finance stakeholders and translate business objectives into actionable technical requirements. Knowledge of data modelling, semantic models, ETL concepts, and reporting best practices. Experience operating within agile delivery environments and bringing structure to evolving workstreams. Strong understanding of finance reporting, management information ...

lifecycle. The Role End-to-end ownership of Azure cloud and data projects Design and development of scalable Azure-based solutions Building integrations, APIs, ETL processes and data pipelines Working closely with stakeholders to deliver business-critical products Supporting and mentoring colleagues on Azure best practice Delivering greenfield projects using ...

extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/B testing) preferred ...

extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/B testing) preferred ...

machine learning models. Confident statistical modelling skills across techniques such as GLMs, decision trees, random forest and NLP. Working knowledge of SQL, data structures, ETL and data integration. A degree in Mathematics, Statistics, Data Science or another quantitative field. Insurance experience or exposure to Databricks is a bonus ...

lifecycle. The Role: *End-to-end ownership of Azure cloud and data projects *Design and development of scalable Azure-based solutions *Building integrations, APIs, ETL processes and data pipelines *Working closely with stakeholders to deliver business-critical products *Supporting and mentoring colleagues on Azure best practice *Delivering greenfield projects using ...

design and maintenance of our scientific ontology, ensuring efficient data storage, retrieval, domain coverage, and integration with our software platformPipeline Development: Implement ETL pipelines for ingesting, cleaning, and transforming scientific datasets from multiple sourcesData Analysis and Modeling: Apply statistical and machine learning techniques to analyse scientific data, identify trends, and ...

Using big data, business intelligence and data visualisation tools (ideally Tableau). * Advanced data collection from a range of different sources. * Strong SQL. * Advanced ETL (cleansing, etc.) * Working effectively with multi-disciplinary teams and understanding how to contribute to all phases of the product development lifecycle. * Excellent verbal and written ...

Infrastructure as Code (IaC): Proven experience deploying cloud environments via Terraform. Containerisation: Experience with Docker and container orchestration such as AWS ECS. Data Processing & ETL: Familiarity with data transformation strategies and handling high-volume data streams. Modern DevOps Practices: Proficient with Git, CI/CD pipelines, and automated testing. Beneficial ...

that support this. Experience developing software with cloud technologies ( preferably AWS ). Experience with a range of database technologies and practices including OLAP, OLTP, ETL and Data Warehousing. Experience with AI architecture . Mindset Style Highly analytical, adaptable, and able to operate with mental agility in a fast-moving environment. ...

models, forecasting, and commercial performance analysis. Knowledge of AI, machine learning, and automation applications across customer, digital, and commercial contexts. Experience with data platforms, ETL processes, APIs, and cloud environments (e.g. GCP). Expertise in digital analytics platforms such as Google Analytics, Adobe Analytics, and Content Square. Experience with ...

and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large‐scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non‐technical audiences, including through presentations, written reports, and data visualizations. ...

tracking and analysing user behaviour, such as Google Analytics or similar platforms. Proficiency in SQL and Python/R, coupled with knowledge of ETL processes and foundational data engineering principles. During our application process, you will be asked two questions to help us learn more about you and ...

enable data loading and LLM workflows. Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systemsWhat You Need to Have: Work experience ...