experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL More ❯
stakeholders to identify data requirements and deliver sustainable solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist in gathering, documenting, and managing data engineering requirements and workflows. Contribute to the development of guidelines and documentation for … to data infrastructure. Participate in quality reviews of designs, prototypes, and other work products to ensure requirements are met. Skills & Experience: Basic understanding of data engineering concepts, such as ETL processes, data pipelines, and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms (e.g., Python, Power BI, Tableau More ❯
ID, MFA, Conditional Access policies, and experience managing servers and virtual environments in Microsoft Azure BI & Data Skills : Experience with other BI platforms (e.g. SAP BusinessObjects, Power BI), SQL, ETL processes, data modelling, and diverse data sources (including SAP HANA). Tableau Tools : Knowledge of Tableau Server Resource Monitoring Tool (RMT) and Content Migration Tool. DevOps : Familiarity with Azure DevOps More ❯
the opportunities in the social media space. Job Description: As a Lead Data Scientist at Luupli, you will play a pivotal role in leveraging AWS analytics services to analyse andextract valuable insights from our data sources. You will collaborate with cross-functional teams, including data engineers, product managers, and business stakeholders, to develop data-driven solutions and deliver actionable … analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines andETL processes to extract, transform, andload data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics … cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. More ❯
Maidstone, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
part of this role, you will be responsible for some of the following areas • Design and develop scalable data pipelines to support analytics and operational reporting. • Build and maintain ETL/ELT processes to ingest, transform, and store data from various sources. • Collaborate with clients including both technical and non-technical stakeholders to understand data needs and deliver solutions. • Implement … processes and pipelines to support knowledge sharing and onboarding. To be successful in the role you will have • Solid experience designing and delivering data solutions focused on Databricks • Strong ETL experience with tools such as ADF or SSIS • Experience working with Azure technologies – Synapse, Fabric, Data Lake • Knowledge of data architecture principles and data modelling What is on offer? • Starting More ❯
Skills: - 5+ years in a business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem-solving, and communication skills. - Experience with operational data processes, ETL, data warehouse migration, schema mapping, and MI/BI reporting. - Proficient in tools such as JIRA, Confluence, Asana, Miro, and Excel. - Familiarity with Agile (SCRUM), and ability to manage multiple More ❯
enforcement, proxy voting, vendor oversight. Solid understanding of investment data flows and financial instruments across asset classes. Hands-on proficiency with tools and languages such as SQL, Python, andETL/data integration platforms. Strong communication, presentation, and stakeholder engagement capabilities. Advanced skills in MS Office Suite and the creation of professional deliverables. #J-18808-Ljbffr More ❯
technical requirements, data flows, and data formats. Experience creating functional and design specifications for platform architecture, data pipelines, and/or parser functionality. Familiarity with data integration techniques andETL processes. Basic proficiency with scripting languages (e.g., Python) and data transformation tools. Understanding of RESTful APIs and data exchange formats (e.g., JSON, XML). Proven ability to work cross-functionally More ❯
continued scaling and optimisation of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would be offering Free Certification Scheme (ServiceNow, TOGAF More ❯
Maidstone, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Category: Other - EU work permit required: Yes Job Views: 9 Posted: 06.06.2025 Expiry Date: 21.07.2025 Job Description: Oracle Fusion Data Intelligence | Oracle Analytics Cloud | Oracle Technical Consultant | OAC | FDI | ETL | PL/SQL | £75,000 plus benefits and bonus | Fully Remote I am currently working with an exceptional digital consultancy with 20,000+ employees. They are expanding their UK team … models in Oracle Fusion Data Intelligence or Analytics Cloud Experience creating dashboards and reports, especially in Finance, Supply Chain, or HCM Proficiency in SQL & PL/SQL Experience with ETL processes, data integration, and object storage (a bonus) If interested, please apply for a detailed discussion about the role. #J-18808-Ljbffr More ❯
Oracle Fusion Data Intelligence| Oracle Analytics Cloud | Oracle Technical Consultant | OAC | FDI | ETL | PL/SQL | £75,000 plus benefits and bonus | Fully Remote I am currently working with a exceptional digital consultancy with 20000+ employees, currently they have a small team in the UK as one of their most recent places of expansion with some very exciting plans to … Analytics Cloud Experience creating dashboards and reports, particularly if that experience relates to Finance, Supply Chain or HCM industries Comfortable with both SQL & PL/SQL Good experience around ETL process, data integration and object storage a bonus If you think you could be a good fit please don't hesitate to apply for a more detailed discussion around the More ❯
requirements. Key Responsibilities Collaborate with business team to understand migration requirements, including data prioritization, categorization, and compliance needs. Analyze existing data structures and workflows within Caliber QMS, Trackwise, and SoftXpert. Extract, transform, andload (ETL) data from legacy systems to Veeva Quality Vault while preserving data accuracy and integrity. Execute hands-on data migration tasks, including extraction, cleaning, and importing … team members in new processes and tools related to data migration and management. Required Qualifications Hands-on expertise with Caliber QMS, Trackwise, SoftXpert, and Veeva Quality Vault. Proficiency in ETL tools and techniques. Strong understanding of regulatory and data compliance standards in quality management. Excellent problem-solving skills. Effective communication skills to collaborate with cross-functional teams. Technical Proficiency: Expertise More ❯