1 to 25 of 241 Remote/Hybrid ETL Jobs in the UK excluding London

warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.* Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services.* Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality … more of the following technologies**Azure Databricks*** Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.* Experience of Databricks ML and Azure ML to develop predictive models and drive business insights.* Proven ...

semantic modelling using DAX and Power Query. Analysing data to identify trends, risks and recommendations. Data Engineering and Analytics Engineering Building data pipelines and ETL/ELT workflows. Working with at least one cloud data platform (e.g., Azure, Microsoft Fabric, Databricks, Snowflake). Designing data models for reporting, analytics ...

with others and using data to create positive outcomes, we'd love to hear from you. Day to Day Design, build and maintain reliable ETL/ELT data pipelines using AWS or Azure cloud-native services and established engineering patterns Develop and support data integration components and services, including Java ...

successfully built, enhanced or operated cloud-based data platforms, ideally within Azure environments. Data Architecture Knowledge - You understand data modelling, ELT/ETL design, Delta Lake principles, data quality frameworks and modern engineering best practices. Cloud & DevOps Capability - You have experience with Azure services, automation, CI/CD pipelines and ...

include large scale data migrations to cloud, new project delivery, service enhancement and support. Relevant experience may include: • Strong SQL and data modelling experience. • ETL/ELT design and delivery. • Data pipeline design, build, monitoring and operations. • Batch and real-time data integration patterns. • AWS cloud data platforms. • Data lake ...

similar data-focused role. Strong hands-on experience with Microsoft Fabric, including Data Factory, Dataflows Gen2, Lakehouse and Warehouse solutions. Experience designing and developing ETL/ELT processes, enterprise data pipelines and transformation workflows. Strong SQL and Python skills, including experience with PySpark. Experience working with OneLake, Delta tables and ...

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 ...

architecture and governance, including metadata management, controlled vocabularies, data lineage, validation rules, role-based access controls, and regulatory or compliance considerations. Practical knowledge of Extract, Transform and Load (ETL), data integration, and automation tools, including Power Query, Power Automate, APIs, connectors, integration hubs, or equivalent platforms. Strong working knowledge ...

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 ...

stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also ...

data requirements across complex environments. Gather, profile, and analyse large-scale structured datasets to ensure data accuracy, quality, and completeness. Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement ...

data requirements across complex environments. Gather, profile, and analyse large-scale structured datasets to ensure data accuracy, quality, and completeness. Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement ...

data requirements across complex environments. Gather, profile, and analyse large-scale structured datasets to ensure data accuracy, quality, and completeness. Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement ...

data requirements across complex environments. Gather, profile, and analyse large-scale structured datasets to ensure data accuracy, quality, and completeness. Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement ...

and dashboards. ·Foundational knowledge of Python for data manipulation, automation, or analysis. ·Experience with cloud data environments such as Azure or AWS. ·Familiarity with ETL tools, or similar data‐integration technologies. ·Understanding of data modelling concepts. ·Familiarity with legal industry data and metrics. Equal Opportunities Our approach to our people ...

data governance, quality, security and operational best practice within production environments. Experience with DevOps, CI/CD practices, Fabric capacity management, or decommissioning legacy ETL tooling such as SSIS or KingswaySoft would be advantageous. If you're looking for a role where you can combine deep technical expertise with genuine ...

and Data Science to review and refine designs and translate them into robust implementations. Build and operate data pipelines: design, develop, test, and deploy ETL pipelines to source, cleanse, and optimise data at scale. Automate and orchestrate data workflows: Develop and maintain orchestration solutions (e.g. Apache Airflow), implementing testing, alerting ...

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 ...

insight delivery. Person Specification Knowledge and Experience * Proven experience in data engineering, data platforms and analytics leadership roles. * Strong understanding of data lake architecture, ETL/ELT pipelines, and modern data environments. * Experience of data modelling, structuring and preparing data for reporting and analytics use. * Proven track record of delivering ...

and insight delivery. Person SpecificationKnowledge and Experience Proven experience in data engineering, data platforms and analytics leadership roles. Strong understanding of data lake architecture, ETL/ELT pipelines, and modern data environments. Experience of data modelling, structuring and preparing data for reporting and analytics use. Proven track record of delivering ...

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 ...

Initial 6 months + extensions. Job Purpose: The BI Engineer will be responsible for the requirements analysis and design of solutions for data platform, ETL, integration and analysis solutions. Our toolset includes AWS hosted databases (postgres, S3 based data lake, MySQL, Athena), integration services (AWS API gateway, lambda functions), ETL … data warehouses. Collaborate with data visualization and analysts' teams to understand data requirements and translate them into technical specifications. Data Processing: Develop and maintain ETL (Extract, Transform, Load) processes for ingesting data from various sources into the data infrastructure. Optimize data processing and storage for performance and cost-effectiveness. ...

complex environments. Broad understanding of modern data technology domains, including: Cloud data platforms (Azure, AWS, GCP). Data lakes, warehouses and lakehouse architectures. ETL/ELT processes and tooling. Streaming and event‐driven architectures. API‐led integration and data virtualisation. Understanding of data security‐by‐design, privacy, compliance and governance ...

data modeling tools and techniques (e.g., ER/Studio, Erwin).Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks).Experience with data integration (ETL/ELT, APIs).Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus. Domain Knowledge: Exceptional understanding ...

technical BI solutions, and present actionable insights clearly. Data Management & Optimisation: Utilise strong SQL skills for data manipulation, querying, and validation while implementing robust ETL/ELT processes and troubleshooting performance bottlenecks across datasets. Champion Data Governance: Ensure high standards of data quality, data integrity, security, and BI platform best ...