1 to 25 of 53 ETL Jobs in the East of England

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 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 ...

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 ...

controls. Deep understanding of analytics architecture, data modelling methodologies, semantic layer design, and approaches for delivering discoverable, governed and reusable data products. Expertise in ETL and ELT frameworks for large-scale batch and near real-time processing, with hands-on experience using orchestration and transformation technologies such as Airflow and ...

data is collected, transformed and consumed. What You'll Need Essential Strong SQL skills Python and/or PySpark experience Microsoft Fabric delivery experience ETL/ELT and data pipeline development API integrations Data modelling and transformation expertise Git/source control experience Strong troubleshooting and documentation skills Desirable Azure ...

more of the following: Google AppSheet Google Apps Script BigQuery Looker Studio Microsoft Power Platform Power BI ServiceNow CMDB Remedy CMDB Python JavaScript ETL and Data Integration tools ITSM & CMDB Knowledge ITIL Foundation or equivalent understanding. Configuration Management processes. Asset Management. Service Mapping. Discovery tools. Data Governance. ServiceNow CMDB experience ...

dashboard development KPI design and analytics Preferred: Google AppSheet Google Apps Script BigQuery Looker Studio Remedy CMDB Microsoft Power Platform Power BI Python JavaScript ETL/Data Integration tools CMDB/ITSM Knowledge ITIL Foundation or equivalent knowledge Configuration Management processes Asset Management Service Mapping Discovery tools Data Governance ServiceNow ...

Desirable Skills Google AppSheet, Apps Script, BigQuery and Looker Studio. Microsoft Power Platform and Power BI. Remedy CMDB or ServiceNow CMDB. Python and JavaScript. ETL and data integration technologies. Asset Management, Service Mapping and Data Governance experience. Ideal Background Defence, Government or highly regulated environments. Digital Workplace and enterprise infrastructure ...

Strong hands-on experience with Python and SQL. Experience designing data models and data architectures across multiple systems and building and operating production-quality ETL/ELT pipelines and automated data workflows. Experience integrating heterogeneous data sources, databases and APIs. Experience with workflow orchestration tooling (e.g. Airflow, Dagster ...

problem. Experience designing and delivering scalable data products or insight frameworks. Comfortable managing multiple stakeholders and balancing competing priorities. Strong understanding of data modelling, ETL processes, and collaboration with data engineering teams. Experience collaborating with Consumer Research and Digital analytics teams and data. Demonstrated ability to lead analytical initiatives from ...

foundations, architecting and implementing scalable, reliable end-to-end data solutions using Azure/Microsoft Fabric services, covering data lakes, data warehouses, and ETL/ELT pipelines. Leadership and line management of data/AI architecture and platform team driving a high performance, accountability, innovation and the latest technology ...

data policies. Technical & Business Skills: Data Architect: Expert proficiency in cloud data platforms (e.g. Snowflake, AWS, Azure). Deep expertise in data integration patterns (ETL/ELT, API‐led connectivity). Strong capability to design distributed, highly available, and secure data pipelines. Information Architect: Deep expertise in metadata management, master ...

with one or more programming languages (Python, Scala). Hands-on experience with modern lakehouse technologies (e.g. Databricks, Spark, Kafka). Comfortable building pragmatic ETL/ELT workflows in AWS using orchestration frameworks or cloud-native tools. DataOps mentality. Understanding of how to apply automation, version control, testing, monitoring and ...

solution architecture. Strong hands-onexperience with Databricks Platform . Expert knowledge of: Apache Spark PySpark/Scala Delta Lake SQL Data Lakehouse architecture ETL/ELT development Experience designing anddelivering enterprise Databrickssolutions. Strong experience withcloud platforms: Azure Databricks (preferred) AWS Databricks Google Cloud Databricks Experience with: Databricks Workflows Jobs orchestration ...

knowledge of ITIL/Configuration Management/Asset Management/Service Mapping/Discovery tools/Data Governance Python and/or JavaScript, and ETL/data integration tools, advantageous Comfortable working autonomously, translating business needs into technical solutions, and managing stakeholders directly #J-18808-Ljbffr ...

APIs, integrations and data pipelines Good understanding of data architecture, data warehousing and cloud data platforms Hands-on experience with Azure technologies Experience developing ETL/ELT solutions Experience with Python, PySpark, Microsoft Fabric, streaming technologies or large-scale enterprise environments would be advantageous. In return they are offering ...

experience, would be effective, although practical experience is equally valuable.“Nice to Have”Azure, Databricks, Apache Spark or comparable cloud and data platforms.Data pipelines, ETL and workflow-orchestration technologies.Machine-learning methods such as forecasting, prediction or classification.Experience with enterprise platforms such as Salesforce, SAP, ServiceNow or Celonis.Experience developing scalable, user ...

silver/gold layer design) Data strategy and governance frameworks Data modeling and schema design for analytics workloads Modern data platform design and implementation ETL/ELT pipeline development and optimization (Glue, EMR) Data warehousing solutions (Redshift) Data catalog management and metadata governance Data quality and lineage frameworks, Experience and ...

silver/gold layer design) Data strategy and governance frameworks Data modeling and schema design for analytics workloads Modern data platform design and implementation ETL/ELT pipeline development and optimization (Glue, EMR) Data warehousing solutions (Redshift) Data catalog management and metadata governance Data quality and lineage frameworks Preferred Qualifications ...

reporting, and insight generation using DOMO and modern data science tools. Design and develop DOMO dashboards (live and scheduled) to deliver meaningful business insights. Extract and integrate data from Pega applications, Adobe platforms, SaaS systems, APIs, and public data domains. Translate complex datasets into clear visualisations and actionable insights that … and governance across all reporting and analytics activities. Responsibilities Design, develop, and maintain DOMO dashboards (live and scheduled) that deliver real-time business insights. Extract, transform, and integrate data from SaaS applications, APIs, and public data sources. Build and optimise data pipelines and ETL workflows for efficient and accurate data ...

data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processes at scale, including web scraping or automated data collection A solid understanding of the ML lifecycle, from data through to model training ...

backend or data engineering foundationHands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud providerExperience building data pipelines and ETL/ELT processes at scale, including web scraping or automated data collectionA solid understanding of the ML lifecycle, from data through to model training, evaluation ...

better use of modern Microsoft-based data and integration technologies. Design, develop and maintain automated data integrations between business applications. Build, support and optimise ETL/ELT processes and automated data pipelines. Develop automation solutions using APIs, scheduled processes and event-driven workflows. Monitor, troubleshoot and optimise data automation processes … years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. Experience with Microsoft Fabric or similar cloud data ...

better use of modern Microsoft-based data and integration technologies. Design, develop and maintain automated data integrations between business applications. Build, support and optimise ETL/ELT processes and automated data pipelines. Develop automation solutions using APIs, scheduled processes and event-driven workflows. Monitor, troubleshoot and optimise data automation processes … years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. Experience with Microsoft Fabric or similar cloud data ...

better use of modern Microsoft-based data and integration technologies. Design, develop and maintain automated data integrations between business applications. Build, support and optimise ETL/ELT processes and automated data pipelines. Develop automation solutions using APIs, scheduled processes and event-driven workflows. Monitor, troubleshoot and optimise data automation processes … years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. Experience with Microsoft Fabric or similar cloud data ...