1 to 25 of 761 Permanent ETL Jobs in the UK

Health Care Pathways Data governance and information standards Business intelligence and analytics tools Performance management within NHS services Statistical analysis and predictive modelling techniques ETL (Extract, Transform, Load) transformation methodologies Data warehousing and architectural modelling principles Microsoft Fabric architecture and implementation Power BI semantic modelling, dashboard development, and enterprise reporting … Health Care Pathways Data governance and information standards Business intelligence and analytics tools Performance management within NHS services Statistical analysis and predictive modelling techniques ETL (Extract, Transform, Load) transformation methodologies Data warehousing and architectural modelling principles Microsoft Fabric architecture and implementation Power BI semantic modelling, dashboard development, and enterprise reporting ...

Query, Power Automate, Python AI libraries and techniques (e.g. sci-kit Learn, Transformers, Vector Databases, Retrieval Augmented Generation, Prompt Engineering) • Experience with data warehousing, ETL processes, and data governance frameworks. • Experience in Organisational Change Management Although this role is remote working, it will be based in the UK therefore, applicants ...

automation. Hands-on experience with Microsoft Fabric and Azure Data Factory, including pipeline orchestration, linked services, environment management, and parameterisation. Experience with SSIS for ETL processes and legacy data integration tasks. Expertise in designing and implementing CI/CD pipelines using tools such as Azure DevOps. Experience with Infrastructure ...

automation. Hands-on experience with Microsoft Fabric and Azure Data Factory, including pipeline orchestration, linked services, environment management, and parameterisation. Experience with SSIS for ETL processes and legacy data integration tasks. Expertise in designing and implementing CI/CD pipelines using tools such as Azure DevOps. Experience with Infrastructure ...

automation. Hands-on experience with Microsoft Fabric and Azure Data Factory, including pipeline orchestration, linked services, environment management, and parameterisation. Experience with SSIS for ETL processes and legacy data integration tasks. Expertise in designing and implementing CI/CD pipelines using tools such as Azure DevOps. Experience with Infrastructure ...

and maintain data warehouse environments, such as: Azure Synapse AnalyticsSQL Server/Azure SQL DBSnowflake or BigQuery (optional, if used in hybrid environments)Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCAInvestigate job failures and performance issues across data pipelines, ML endpoints, and dashboards. ...

Bachelor’s or master’s degree in computer science, Engineering, or a related technical field 5+ Years of hands-on experience in data engineering, ETL/ELT development, cloud-based data solutions, or data products for analytics, automation, or machine learning Deep expertise in AWS services, including S3, Lambda, Glue ...

data governance, lineage, security, and compliance controls within modern data platforms. Experience leading architecture decisions across complex stakeholder environments. Strong understanding of data pipelines, ETL/ELT frameworks, orchestration tooling, and data engineering best practices. Familiarity with technologies such as Spark, Python, SQL, Delta Lake, Unity Catalog, dbt, Azure Data ...

initiatives, and flag risks or dependenciesTECHNICAL SKILLS & EXPERTISEStrong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelinesDashboard development: Power BI (preferred), Tableau, Grafana, or equivalent BI tools — building interactive dashboards with drill-down, filtering, and alertingExperience with on-premises ...

pipelines and automated deployments Experience with Python for data engineering or analytics An understanding of data warehousing principles and methodologies is preferable Experience developing ETL/ELT processes Knowledge of Microsoft Fabric and modern data platform technologies is preferable Knowledge of Microsoft Purview and data governance frameworks Microsoft certifications including ...

data platforms such as Microsoft Azure, AWS, or Google Cloud. Proficiency in SQL, Python, Spark, and modern data processing frameworks. Experience building and managing ETL/ELT pipelines and streaming data solutions. Practical experience with DataOps, DevOps, CI/CD pipelines, and Infrastructure as Code. Expertise in data modelling, data ...

Business stakeholders. Data Engineering & Platforms Databricks Delta Lake Unity Catalog dbt Spark/PySpark Data pipeline development and optimisation Lakehouse architecture Data integration and ETL/ELT frameworks Data platform design and implementation Cloud Technologies AWS S3 Glue Airflow IAM Lambda (desirable) Data Modelling & Architecture Data Vault Kimball Data warehousing ...

accelerate development and testing of data pipelines (e.g. GitHub CoPilot, Claude Code). Required qualifications, capabilities, and skills Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning. Hands-on experience ...

tools to accelerate development and testing of data pipelines (e.g. GitHub CoPilot, Claude Code).Required qualifications, capabilities, and skillsProven experience in data management, ETL/ELT pipeline development, and large-scale data processing. Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning. Hands-on experience ...

data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps).Expertise ...

data warehousing, data lakes, and lakehouse architectures. Hands‐on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps). Expertise ...

cloud providers (Azure, AWS, or GCP). Solid understanding of data governance, access control, and security practices in cloud environments. Experience with large‐scale ETL/ELT design and migration programmes. Familiarity with how AI/ML and agentic systems are integrated with enterprise data platforms. Demonstrated experience with cloud ...

and best practices across enterprise data platforms. Responsibilities Design, develop and maintain scalable data pipelines using Microsoft Fabric, Azure Databricks and Azure Synapse. Develop ETL/ELT solutions using PySpark and SQL. Build and optimise data integration solutions using Azure Data Factory and Microsoft Fabric. Design scalable lakehouse and data ...

analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/ELT processes, and cloud-based data platforms. The Data Architect will be a key partner in driving data-driven decisions and future-proofing Jazwares ...

platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development ...

platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development ...

platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development ...

data sharing, including contracts, data minimisation, and consent where applicable. Skills, Knowledge and Expertise Technical Expertise: MS Fabric, Power BI, data modelling, SQL, Python, ETL tools, cloud platforms (Azure/AWS/GCP), and working knowledge of AI productivity tools including Microsoft Copilot and Claude. Data Governance & Quality: Strong understanding ...

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 ...

e.g. Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics) Experience with data product thinking, domain-oriented ownership or federated operating models Understanding of data standards and industry models ...