12 of 12 ETL Jobs in Hampshire

Essential Skills & Experience): Proven Data Engineering Expertise: Demonstrable experience designing, building, and maintaining complex data pipelines in a production environment. Strong Technical Foundation: Expert-level SQL and proficiency in ETL principals. We currently use SQLSvr/SSIS, but are on a transformation journey of our data platform (AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform … AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience working directly with data from CRM systems (e.g., Salesforce, Dynamics 365, Hubspot) and understanding customer data structures. Leadership Potential: Experience leading projects or mentoring More ❯

Fabric or expertise in related technologies such as Power BI, Azure Synapse, Data Factory, Azure Data Lake, Notebooks etc. A solid understanding of data engineering principles, including data modelling, ETL/ELT processes, and data warehousing. Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences. A proactive, client-focused mindset with More ❯

Fabric or expertise in related technologies such as Power BI, Azure Synapse, Data Factory, Azure Data Lake, Notebooks etc. A solid understanding of data engineering principles, including data modelling, ETL/ELT processes, and data warehousing. Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences. A proactive, client-focused mindset with More ❯

Relevant Microsoft certifications in Dynamics 365 and/or Power Platform. Experience working in agile delivery environments, particularly at scale. Knowledge of SSRS, FetchXML, SSIS, or other reporting and ETL tools. Experience with Power Pages (Portals) and customer-facing apps. Familiarity with data compliance standards (e.g., GDPR) and security models within Dynamics. Soft Skills & Traits A confident problem-solver with More ❯

our customer "spokes". Help embed Data Quality checks, validations, and alerting mechanisms across all data ingestion processes. Partner closely with our Data Engineering Hub in the integration of ETL processes into the Enterprise Data Model platform, ensuring data integrity and seamless flow. Conduct diagnostic data analysis and root cause investigations to identify trends and opportunities for improving business processes More ❯

a related field. (Not a must but beneficial) A genuine passion for data - its potential, its impact, and how to harness it effectively. Hands-on experience supporting and improving ETL processes. Strong proficiency in SQL and other programming languages used for data analysis. Advanced expertise in Power BI or similar data visualisation tools. Solid understanding of machine learning platforms and More ❯

Azure Portal or Azure DevOps (or similar). Qualified to Foundation Level in Software Testing (or equivalent experience). Experience with security test automation and testing techniques. Experience with ETL testing. Experience working in an operational support capacity for a production system. Prior experience in mentoring and teaching automation skills to others. The Rewards We want you to love what More ❯

streamlined data onboarding processes that improve reliability and reduce effort. Share best practices, tools, and patterns across the Customer Success and Engineering teams. Tooling & Data Operations Maintain and evolve ETL pipelines used to onboard customer data and feed core services. Manage core data templates, baseline datasets, and internal reference tooling. Continuously seek opportunities to optimise and automate steps in the More ❯

Leadership and customer PMO. Execution of end-to-end data loads and reconciliations WHAT IT TAKES Degree level qualification in Computer Science (or other technology-related field) Experience in ETL/Data Migration/Data Quality/Data Analysis Functional ERP experience Project experience across multiple ERP implementations Database experience - SQL Server, Oracle, etc. Customer-facing skills Excellent written and More ❯

technical debt. Balance architecture integrity with practical delivery timelines and resource constraints. Provide hands-on support to delivery teams during implementation, testing, and deployment. Define and document API strategies, ETL designs, and middleware integration patterns for seamless interoperability across Aztec and third-party platforms. Align integration designs with the enterprise data model and master data management standards. Promote reusability and … within high-volume project environments. Hands-on understanding of systems such as eFront, Yardi, Investran, Viewpoint, Fenergo, and client-facing portals. Proficiency in solution architecture disciplines including integration (API, ETL, middleware), application interoperability, and secure design. Skilled at working with non-standard, custom client requirements and translating them into structured technical designs. Effective communicator with the ability to influence stakeholders More ❯

a major European retailer. Key Responsibilities: Design and configure MDM solutions using the STIBO STEP platform Set up data models, workflows, validations, and user roles Develop integration interfaces using ETL/ELT/API patterns Ensure data quality, governance, and compliance standards Collaborate closely with cross-functional business and technical teams Requirements: Strong experience delivering STIBO-based MDM solutions across … domains such as Product, Vendor, and Factory Deep understanding of integration patterns (event-driven, ETL/ELT, API) Hands-on experience with STEP accelerators in a retail context Expertise in PDX, PIM, and MDM architectures Solid understanding of the retail sector If you are interested apply now for immediate consideration! No sponsorship available, must hold British or European Citizenship, or More ❯

solving skills. A passion for customer success, product excellence, and continuous learning. Experience with product analytics and data-informed decision-making. Familiarity with technical integrations (e.g., APIs, SAML, SSO, ETL) is a plus. Bonus Points Experience in fleet, automotive, or transportation software. Exposure to vertical SaaS or enterprise-scale product environments. Background in Computer Science, Business, Design, or equivalent practical More ❯