1 to 25 of 283 Permanent ETL Jobs in the UK

data storage systems, including databases, 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 ensure data consistency and standardization. … Experience handling large datasets 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 of data warehousing concepts and … dimensional modelling. Understanding of data security, privacy, and compliance requirements Proficiency in data integration and ETL tools Strong analytical skills and the ability to understand complex data structures. Capable of identifying data quality issues, troubleshooting problems, and implementing effective solutions. Experience using Microsoft Azure Software Engineering specifically Python Disclosure and Barring Service Check This post is subject to the Rehabilitation More ❯

AWS, Azure, GCP) Expertise with 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 with DevOps and CI/ More ❯

work as part of a collaborative team to solve problems and assist other colleagues. - Ability to learn new technologies, programs and procedures. Technical Essentials: - Expertise across data warehouse and ETL/ELT development in AWS preferred with experience in the following: - Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation More ❯

Provide technical support and training to end-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 and processes. Profile …/Developer - SAP CO-PA/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 in the industrial/manufacturing industry is More ❯

Provide technical support and training to end-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 and processes. Profile …/Developer - SAP CO-PA/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 in the industrial/manufacturing industry is More ❯

Provide technical support and training to end-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 and processes. Profile … PA/FI & Power BI 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 in the industrial/manufacturing industry is More ❯

Provide technical support and training to end-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 and processes. Profile …/FI & Power BI should 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 in the industrial/manufacturing industry is More ❯

Provide technical support and training to end-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 and processes. Profile …/FI & Power BI should 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 in the industrial/manufacturing industry is More ❯

to define requirements and deliver solutions Requirements: Hands-on experience with Azure Data Factory, Databricks, SQL, Data Lake, Power BI Strong skills in T-SQL and DAX Experience in ETL development, data modelling, and data governance Familiarity with CI/CD pipelines and Azure DevOps Excellent communication and problem-solving skills More ❯

to define requirements and deliver solutions Requirements: Hands-on experience with Azure Data Factory, Databricks, SQL, Data Lake, Power BI Strong skills in T-SQL and DAX Experience in ETL development, data modelling, and data governance Familiarity with CI/CD pipelines and Azure DevOps Excellent communication and problem-solving skills More ❯

from the warehouse. Maintaining and improving the existing Python-based dynamic pricing model and web scraping tools. What we're looking for: Experience across a modern data stack for ETL/ELT processes and data warehousing. Strong SQL and Python skills, with an understanding of Kimball-style data modelling . Experience with DBT, Dagster, or Airflow for transformation and orchestration. More ❯

engineering. Mandatory Skills: Cloud Platforms:Deep experience with AWS (S3, Lambda, Glue, Redshift) and/or Azure (Data Lake, Synapse). Programming & Scripting:Proficiency in Python, SQL, PySpark etc. ETL/ELT & Streaming:Expertise in technologies like Apache Airflow, Glue, Kafka, Informatica, EventBridge etc. Industrial Data Integration:Familiarity with OT data schema originating from OSIsoft PI, SCADA, MES, and Historian More ❯

lakehouse. Develop semantic models and 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 analysts and data scientists More ❯

and reliable flow of data, building foundational skills in a supportive environment. Key Responsibilities Data Pipeline Development • Contribute to the design, building, and maintenance of scalable data pipelines • Implement ETL (Extract, Transform, Load) processes to ingest data from various sources • Ensure data quality, integrity, and reliability through thorough testing and validation Database Management • Help manage and optimise data storage solutions More ❯

making. In this role, you 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 data models are optimised for More ❯

suited to someone who's confident communicating with data, product, and engineering teams, not a 'heads-down coder' type. Top 4 Core Skills Python - workflow automation, data processing, and ETL/ELT development. Snowflake - scalable data architecture, performance optimisation, and governance. SQL - expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) - modular data modelling, testing More ❯

models in Snowflake to support analytics and reporting needs. Architecture Implementation: Apply defined data architecture standards to ingestion, transformation, storage, and optimisation processes. Pipeline Development: Develop robust ELT/ETL workflows using dbt and orchestration tools, ensuring reliability and maintainability. Performance & Cost Optimisation: Configure Snowflake warehouses and implement query optimisation techniques for efficiency. Data Quality & Governance: Apply data quality checks More ❯

and shape the direction of the platform as it evolves, pushing the boundaries of what's possible with data and AI. What You'll Do Design & build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI More ❯

this is your chance to make an impact. What You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines DevOps: CI/CD Bonus: Python What you'll do Design and implement scalable Azure-based data solutions Build and optimize data pipelines More ❯

this is your chance to make an impact. What You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines DevOps: CI/CD Bonus: Python What you'll do Design and implement scalable Azure-based data solutions Build and optimize data pipelines More ❯

into Features, Epics, and Stories 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, and documentation. Operate CI/ More ❯

into Features, Epics, and Stories 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, and documentation. Operate CI/ More ❯

external MSPs and vendors to 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) iPaaS platforms such as Boomi More ❯

staff. Required Skills & Qualifications: Experience 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 of data warehouse and data lake More ❯

with analytics, product, and engineering teams to support advanced analytics and machine learning initiatives. The skills you'll need: Extensive experience designing and building large-scale data pipelines and ETL processes. Strong proficiency in SQL and Python. Deep understanding of data modelling, warehousing, and performance optimisation. Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services. Hands More ❯