1 to 25 of 200 Permanent ETL Jobs in the UK excluding London

data warehouses, and data lakes, to efficiently handle large volumes of structured and unstructured data. Develop and maintain scalable ETL pipelines to extract, transform, and load data from various sources into the target data systems. Create and manage data schemas, data models, and data dictionaries to facilitate data governance and … complex data pipelines. Experience with big data processing frameworks and technologies. Experience with data modelling and designing efficient data structures. Experience with data integration and ETL (Extract, Transform, Load) processes. Experience in data cleansing, validation, and enrichment processes. Strong programming skills in languages such as Python, Java, or Scala. Knowledge ...

work closely with stakeholders to understand their needs and deliver impactful reporting and analysis. Collect, organise, and visualise data using ETL (Extract, Transform, and Load) processes. Deliver daily reporting and interpret metrics into meaningful insights. Support data migration from legacy systems to the Azure Cloud. Build consolidated reports and dashboards ...

modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity ...

modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity ...

modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity ...

modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity ...

modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity ...

modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity ...

unstructured data) working directly with the business & data scientists. Ability to optimise data solutions for performance, scalability, and efficiency. Highly Desirable: Experience with Informatica ETL, Hyperion Reporting, and intermediate/advanced PL/SQL. Desirable Experience in a financial corporation Lake House/Delta Lake and Snowflake Experience with Spark ...

users on business intelligence tools. Identify opportunities to improve data processes and implement solutions. Integrate various data sources to provide comprehensive insights. ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources using SQL and other tools Maintain documentation for all analytics tools …/FI & Power BI should have: Expert user of Power BI. SQL, DAX and Databases - Ability to query databases and structure financial data efficiently ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources. Strong analytical and problem-solving skills. Experience ...

users on business intelligence tools. Identify opportunities to improve data processes and implement solutions. Integrate various data sources to provide comprehensive insights. ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources using SQL and other tools Maintain documentation for all analytics tools … should have: Proficiency in SAP CO-PA, FI, and Power BI. SQL, DAX and Databases - Ability to query databases and structure financial data efficiently ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources. Strong analytical and problem-solving skills. Experience ...

users on business intelligence tools. Identify opportunities to improve data processes and implement solutions. Integrate various data sources to provide comprehensive insights. ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources using SQL and other tools Maintain documentation for all analytics tools … have: Proficiency in SAP SAC, CO-PA, FI, and Power BI. SQL, DAX and Databases - Ability to query databases and structure financial data efficiently ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources. Strong analytical and problem-solving skills. Experience ...

dimensional structures optimised for BI, dashboarding, and machine learning. Ensure documentation, governance, and data consistency across domains. Collaborate with data engineers to support robust ETL/ELT pipelines and maintain end-to-end data lineage. Deploy analytics engineering solutions using dbt, SQL transformations, and CI/CD best practice. Partner ...

with at least one major cloud platform (Azure, AWS or GCP). Exposure to big data technologies such as Spark or Hadoop. Experience with ETL/orchestration tools like Airflow, Talend or Azure Data Factory. Understanding of data warehousing solutions (Snowflake, BigQuery, Redshift or similar). Good understanding of data ...

will be responsible for: Building and managing data pipelines using Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring ...

will be responsible for: Building and managing data pipelines using Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring ...

experience in building robust analytical models and visualisations in Power BI using DAX and Power Query (M) Solid understanding of data integration and transformation (ETL, APIs, dataflows). Familiarity with Microsoft Fabric components or similar data engineering environments. Previous experience with Power Platform tools (Power Automate, Power Apps, Logic Apps ...

Strong experience in Power BI, SQL, and Python is essential. Experience with Azure and Microsoft Fabric. Knowledge of BI engineering concepts, including data modelling, ETL, pipelines, and backend data management. Experience with legacy BI systems (SSIS, SSAS cubes) and troubleshooting processes. Strong problem-solving skills and attention to detail, with ...

evidence-ready reports. Key Skills Strong proficiency in Microsoft SQL Server, PowerApps, Power Automate, Power BI, Python, and SharePoint. Solid understanding of data engineering, ETL processes, DataIKU, and data integration. Experience in data governance or data-management roles (data quality, metadata, controls). Demonstrated project-management ability across complex technical ...

and setting engineering standards. Collaborate with the Data Architect to design and implement data architecture and build plans. Build and maintain scalable data pipelines, ETL/ELT processes, and large-scale data workflows. Optimise data systems for performance, reliability, and scalability. Implement data quality processes and maintain data models, schemas ...

ensure best-practice delivery Technology & Experience Essential: Strong hands-on experience with the Azure data platform Proven experience delivering API and enterprise system integrations ETL/ELT pipelines, data modelling, and data warehousing Understanding of how data feeds into Power BI and analytics platforms Desirable: GCP exposure (to support migration ...

designing cloud data platforms in Azure/AWS or significant on-premise design experience. 5+ years in data engineering or business intelligence roles. Extensive ETL and data pipeline design experience, technology agnostic. Proficiency in SQL and experience with data engineering coding languages such as Python, R, or Spark. Understanding ...

department Requirements: 3+ years’ experience in data engineering and data warehousing. Azure services. Exposure to Microsoft Fabric is desirable Data modelling, data warehousing, and ETL/ELT processes. Programming languages such as Python & SQL. Excellent analytical and problem-solving skills. Source control, especially GIT or TFS Agile The company have ...

scheduled r-training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control ...

reporting and visualization. Version Control & Automation: Experience with repositiories, CI/CD pipelines, and automated testing frameworks. Data Management: Strong understanding of data modelling, ETL/ELT processes, and governance standards. A relevant degree in finance, economics, mathematics, or a related field. Strong proficiency in financial modelling and analytical tools. ...