1 to 25 of 32 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

into technical solutions Highly desirable: Google AppSheet Google Apps Script BigQuery Looker Studio ServiceNow CMDB Remedy CMDB Microsoft Power Platform Power BI Python JavaScript ETL/data integration technologies ITIL Foundation or equivalent If you're a developer who understands CMDB, data, automation and reporting, and want to take ownership ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

design and maintenance of our scientific ontology, ensuring efficient data storage, retrieval, domain coverage, and integration with our software platformPipeline Development: Implement ETL pipelines for ingesting, cleaning, and transforming scientific datasets from multiple sourcesData Analysis and Modeling: Apply statistical and machine learning techniques to analyse scientific data, identify trends, and ...

Location-Basildon, UK -5 days from Office JD: Mandatory Skills : AWS Lambda, Datalake house Architecture, ETL Concepts Overview We are seeking a talented and experienced to join the Data Solutions domain in EMEA In this role you will design build Data Lakehouse Engineer and optimize scalable Lakehouse and data platform … data across the ecosystem Key Responsibilities Contribute to the design and implementation of Lakehouse integration architectures including data flows process flows and ELT/ETL patterns Build optimize and maintain scalable data pipelines for ingestion processing and storage across data lake and Lakehouse layers Implement and uphold data governance security ...