1 to 25 of 427 Remote/Hybrid ETL Jobs in England

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 ...

improve their financial wellbeing. Key Responsibilities: Data Pipelines and ETL Processes ETL Implementation : Implement ETL processes within MaPS architectural patterns to extract, transform, and load data from various source systems into our reporting solutions. Pipeline Development : Develop and configure meta-data driven data pipelines using data orchestration tools such … these tools. You will need to demonstrate the following skills and experience. Data Engineering experience, able to work independently following established patterns. Experience implementing ETL processes ideally in an Azure/MS Fabric environment. Experience and genuine competence in using SQL to query and manipulate data. Proficiency in cloud data ...

data architecture, reporting and governance foundations needed for longer‐term transformation. What You'll Be Doing as a Data Engineer: Design, build and improve ETL and ELT pipelines that support data ingestion, profiling, reconciliation, cleansing and reporting across enterprise source systems. Building data catalogues, data flows, interface views and trusted ...

Strong SQL skills with experience writing complex queries, stored procedures and performance tuning. Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries ...

Lakes, Blob Containers). Experience with data transformation and modelling techniques. Thorough understanding and experience with data warehousing concepts and dimensional modelling. Experience with ETL and orchestration tooling (Data Factory, Databricks). Experience with data governance and cataloguing using Databricks Unity Catalog (access control, lineage, discoverability). Experience with Azure ...

Tableau, Power BI, Python, Azure, Microsoft Azure, Cloud Data, Data Warehouse, Data Architecture, Data Quality, Data Strategy, AI Strategy, Business Intelligence, BI, Analytics, Reporting, ETL, ELT, Data Integration, Data Modelling, Data Migration, Pipeline Development, Data Platform, Data Infrastructure, Data Engineer London, Data Analyst London, Senior Data Engineer London, Mayfair, London. ...

across business intelligence and data engineering. What you’ll be doing Developing and maintaining Power BI reports, dashboards and semantic models Designing and improving ETL and ELT pipelines using SQL, Python and, where appropriate, PySpark or Spark Working with Microsoft Fabric, Azure data services, data warehouses, lakehouses and data lakes ...

term sustainability. 5+ years of experience in data engineering (or 3+ years with strong Foundry depth). Key Responsibilities Implement batch, incremental, and streaming ETL/ELT workflows with reusable, production-ready components. Build and maintain high-quality, version-controlled data products aligned to business use cases. Work with federated ...

term sustainability. 5+ years of experience in data engineering (or 3+ years with strong Foundry depth). Key Responsibilities Implement batch, incremental, and streaming ETL/ELT workflows with reusable, production-ready components. Build and maintain high-quality, version-controlled data products aligned to business use cases. Work with federated ...

and collaborate with technical and non-technical stakeholders. Hands‐on expertise with SQL Server, SSIS, and relational databases, including writing complex queries and building ETL processes. Practical experience in network engineering, including network monitoring, troubleshooting, and ensuring secure data transmission. Proficiency with reporting and visualization tools (e.g., Power BI, Tableau ...

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 ...

patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise-scale ETL/ELT, batch and streaming patterns Transformation and quality: dbt, Great Expectations and equivalent tooling Orchestration: Apache Airflow and cloud-native orchestration services Event streaming ...

dimensional modelling Experience with CI/CD pipelines using Azure DevOps or GitHub Understanding cloud architecture and distributed data processing Data Management Experience with ETL/ELT frameworks and data integration patterns Knowledge of data quality, data governance and metadata management Familiarity with big data technologies and streaming solutions ...

with Snowflake. Proven experience developing data transformations and data models using dbt. An understanding of dimensional modelling and data warehousing principles. Experience working with ETL/ELT processes and modern cloud-based data architectures. Knowledge of data lineage, metadata management and data quality frameworks. Experience using Git and working within ...

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 ...

and modern enterprise data platforms, including Databricks, Microsoft Fabric or another cloud data platform. Strong understanding of modern data architecture patterns, data modelling and ETL/ELT approaches. Practical experience with Spark, PySpark, Python and SQL and the design of scalable batch and real-time data pipelines. Experience designing appropriate ...

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 ...

datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed processing technologies Data storage:Delta Lake, ApacheIcebergand open table formats Data pipelines:Enterprise-scale ETL/ELT,batchand streaming patterns Transformation and quality:dbt, Great Expectations and equivalent tooling Orchestration:Apache Airflow and cloud-native orchestration services Event streaming:Kafka ...

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 ...

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 ...

technical requirements, success criteria and delivery plans. Elicit and translate business and technical requirements into data, integration and solution specifications. Design and implement scalable ETL pipelines and data models; own data quality, lineage and documentation. Build and operationalise predictive analytics and automated processes; ensure monitoring and maintainability. Develop high impact … and ability to map analytics to measurable business outcomes. Understanding of Python and SQL is not required but would be beneficial Solid knowledge of ETL, ETL design patterns, data warehousing and data governance. Problem solving mindset. Familiarity with Microsoft Azure and AI/ML platforms. Current security clearance, or ability ...

Data Governance, Data Quality, Metadata Management, and Data Lineage.* Experience designing and implementing Data Warehouses, Data Lakes, and Modern Data Platforms.* Strong understanding of ETL/ELT Architecture and Data Integration Frameworks.* Experience with Cloud Data Platforms such as Azure, AWS, or GCP.* Strong SQL and data analysis skills.* Knowledge ...

shaping the data foundation used for critical decision-making, innovative products, and future-focused services.* Own the design, development, and enhancement of scalable ETL/ELT data pipelines.* Develop data products and data platform components aligned with modern architectural principles.* Structure, integrate, and ensure data quality with a focus ...

query performance tuning Dataform or equivalent transformation frameworks (dbt, etc.), writing SQLX, managing dependencies, and maintaining modular, well‐tested transformation logic Solid understanding of ETL/ELT pipeline design, including incremental loads, idempotency, error handling, and pipeline monitoring Working with event‐driven or streaming data pipelines (Pub/Sub, Kafka ...

business stakeholders to make data-driven decisions that shape the future of our company. Key Responsibilities Design, build, and maintain robust, scalable, and reliable ETL/ELT data pipelines . Develop data models and schemas in our data warehouse to support business analytics and reporting needs. Integrate data from ...