1 to 25 of 234 ETL Jobs in the UK excluding London

Required Skills & Experience Strong proficiency in SQL, Python, and/or R. Experience with machine learning model development and evaluation. Hands-on experience with ETL tools and SQL development platforms. Working knowledge of cloud environments (Azure, Fabric, AWS). Ability to work with large datasets and apply data quality principles. ...

Required Skills & Experience Strong proficiency in SQL, Python, and/or R. Experience with machine learning model development and evaluation. Hands-on experience with ETL tools and SQL development platforms. Working knowledge of cloud environments (Azure, Fabric, AWS). Ability to work with large datasets and apply data quality principles. ...

other core systems are leveraged to their full potential. Essential Skills & Experience: Data Analysis & Visualisation: Proven ability to analyse operational data, identify trends, and extract actionable insights. Proficiency in SQL and data visualisation tools (specifically Power BI). ETL & Data Migration Experience: Experience working with ETL (Extract, Transform, Load) processes. … stakeholders. Preferred Skills & Experience: Direct experience leading a software decommissioning or tool-migration project. Experience with Python or R for advanced data analysis and ETL scripting. Experience working with Big Data environments and cloud-based platforms (e.g., Microsoft Azure, Google Cloud Platform). Salesforce Administrator or Developer certifications (or equivalent ...

other core systems are leveraged to their full potential. Essential Skills & Experience: Data Analysis & Visualisation: Proven ability to analyse operational data, identify trends, and extract actionable insights. Proficiency in SQL and data visualisation tools (specifically Power BI). ETL & Data Migration Experience: Experience working with ETL (Extract, Transform, Load) processes. … stakeholders. Preferred Skills & Experience: Direct experience leading a software decommissioning or tool-migration project. Experience with Python or R for advanced data analysis and ETL scripting. Experience working with Big Data environments and cloud-based platforms (e.g., Microsoft Azure, Google Cloud Platform). Salesforce Administrator or Developer certifications (or equivalent ...

semantic models. Develop robust data ingestion pipelines from APIs, SQL databases, SharePoint, Microsoft 365 sources, SaaS platforms and flat-file sources. Build and maintain ETL/ELT processes to cleanse, transform, validate and structure customer data for analytics and AI use cases. Create Lakehouse and medallion-style data architectures, including ...

Strong experience in a Data Engineering delivering data solutions in fast-paced environments Hands-on experience with Microsoft Fabric Proven track record working with ETL processes, data integration and pipeline development Advanced SQL/T-SQL skills Experience designing and implementing data models to support reporting and analytical use cases ...

maximum business valueDrive best practice in data governance, cataloguing, lineage, and standards across the organisationPromote data re-use and reduce duplication across systemsOversee ETL processes, data integration, and BI architectureManage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiativesWork closely with stakeholders across ...

value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely ...

reconciliation and monitoring processes * Work across the full data lifecycle, from raw source to insight Experience * SQL Server, Data Warehousing, Big Data, Power BI, ETL & BI platforms, Data modelling, Kimball Methodology, Master Data Services, Data Quality (DQ), Purview * Azure Data Lake, Azure Data Factory, Logic Apps, Azure Databricks, Azure Functions ...

will work within a modern Microsoft data ecosystem including: Microsoft Azure Microsoft Fabric Power BI SQL Python Data Lake technologies API Integrations Data Warehousing ETL/ELT Frameworks Data Modelling Analytics and Reporting Platforms Essential Skills & Experience Strong commercial experience as a Senior Data Engineer, Data Architect or Lead Data ...

and problem-solving skills Ability to work independently and collaboratively in a fast-paced environment Desirable Skills Microsoft Fabric experience Databricks or Snowflake exposure ETL/data integration tool experience API integration experience Python scripting/automation knowledge Experience working with complex or regulated datasets Understanding of data governance frameworks ...

including Power BI, or other Azure DataServices (D) Experience: Advanced SQL skills, including optimisation of complex queries (E). Experience building data pipelines and ETL/ELT workflows using tools such as: Azure Data Factory, Databricks, Airflow, Luigi, or similar (E) Strong understanding of data modelling (E) Programming skills ...

roadmap, ensuring alignment with cutting-edge engineering practices. Develop secure and observable ingestion and transformation pipelines. Pipeline Development & Operations: Spearhead the migration from legacy ETL tools to modern Azure-based pipelines, using Azure Functions, Azure Data Factory (ADF), and event-driven frameworks. Build and maintain high-performance SQL transformations, curated ...

Platform. What you'll bring Essential skills Excellent analytical skills and attention to detail. Experience working on SQL database development solutions within Visual Studio. ETL skills (min SSIS) preferably Data Factory, Synapse and Fabric. Experience developing data warehouse solutions, modelling Fact and Dimension tables. Working knowledge of Azure DevOps methodologies ...

include internal and external suppliers. Essential Skills Proven experience as a Data Engineer Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience of using programming languages such as Python, Scala and SQL. Demonstrable knowledge of data modelling and data warehousing within platforms such … data solutions are closely aligned with business objectives and effectively meet user needs. Transform raw data into meaningful insights by developing and maintaining tailored ETL (Extract, Transform, Load) processes enabling customised processes, empowering stakeholders to make informed decisions based on high-quality, processed information Managing the aspirations of a variety ...

drive data-led decision-making. Requirements Proven experience in Analytics Engineering, Data Engineering, or Data Platform development. Strong experience building and maintaining ELT/ETL pipelines. Proficiency with SQL and Python, alongside modern data transformation and modelling practices. Experience working with cloud-based data platforms, ideally Azure. Understanding of data ...

and collaboration, making it ideal for someone who enjoys both developing high-quality data solutions and supporting others. Key Responsibilities: Build and maintain scalable ETL/ELT pipelines using Snowflake, dbt, and SQL Transform complex data into structured, analytics-ready datasets Develop and optimise Snowflake components (tasks, streams, stages, dynamic ...

team environment Key experience For both roles: Strong SQL/T-SQL skills, including complex queries Hands-on Microsoft Fabric experience (Lakehouses, Pipelines, Notebooks) ETL/ELT and data engineering experience Strong problem-solving and analytical skills Excellent stakeholder communication skills For the senior role (up to £75K), additionally: Proven ...

within cloud-based environments. Proven expertise with Microsoft Fabric and modern data platform technologies. Advanced Python and SQL development skills. Experience building and optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge ...

collaboration with project managers and Scrum Masters Skills & Experience Proven experience delivering data solutions, with a strong understanding of: Relational databases Data warehousing concepts ETL processes and data modelling Advanced T-SQL skills Experience working in Agile delivery environments, using tools such as Kanban boards and CI/CD pipelines ...

transition from legacy platforms where applicable Data Engineering & Integration Providing technical leadership across data engineering practices, including: Batch and streaming data pipelines ELT/ETL frameworks CI/CD for data platforms Architecting robust integrations from internal and third‐party systems Defining data quality, validation, and monitoring standards Governance, Security ...

Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala or SQL for data engineering Experience building scalable ETL pipelines (Workflows, Delta Live Tables) Hands-on experience with Azure, AWS or GCP (storage, compute, networking) Knowledge of Databricks security: RBAC, IAM, encryption Excellent analytical ...

database environments. Understanding of database design, indexing, execution plans, locking, and concurrency. Experience with monitoring, troubleshooting, and supporting production systems. Knowledge of data integration, ETL/ELT processes, or data pipelines. Experience supporting applications that interact with databases through ORM frameworks. Professional Skills Strong analytical and problem-solving abilities. Ability ...

database environments. Understanding of database design, indexing, execution plans, locking, and concurrency. Experience with monitoring, troubleshooting, and supporting production systems. Knowledge of data integration, ETL/ELT processes, or data pipelines. Experience supporting applications that interact with databases through ORM frameworks. Professional Skills Strong analytical and problem-solving abilities. Ability ...

governance, and stakeholder engagement. Key Responsibilities Design, build, and evolve a scalable cloud data platform and supporting architecture. Develop and maintain robust ELT/ETL pipelines, ensuring high standards of reliability, performance, and security. Establish and embed DataOps and DataSecOps practices, including CI/CD, testing, version control, and automated ...