2 of 2 Data Lake Jobs in Wales

Our Senior Data Engineers enable public sector organisations to embrace a data-driven approach by providing high-quality, cost-efficient data platforms and services tailored to clients' needs. They develop, operate, and maintain these services, ensuring maximum value for data consumers, including analysts, scientists, and business stakeholders. Key responsibilities As a Senior … Data Engineer, you may assume multiple roles based on our clients' needs. The role is highly hands-on, supporting project delivery as a senior contributor and upskilling client team members. You might also take on a technical architect role, collaborating with the MadeTech team to identify growth opportunities within the account. You'll need a drive to deliver … criteria. Enthusiasm for learning and self-development Proficiency in Git (including Github Actions) and understanding of branch strategies Experience gathering and meeting requirements from clients and users on data projects Strong experience in Infrastructure as Code (IaC) and deploying infrastructure across environments Managing cloud infrastructure with a DevOps approach Handling and transforming various data types (JSON More ❯

The Role We are looking for a hands-on Azure Data Engineer who will lead the final phase of our Client's cloud migration and design the enterprise-grade data platform from the ground up. This is a hybrid role with a strong technical focusblending architecture, automation, and data engineeringto empower s next generation … across Europe, the US, and APAC. As they scale globally and accelerate their AI capabilities, they are completing their transition to the cloud and building a company-wide data platform to power insight-driven transformation for their consultants and clients Required Skills & Experience Must-Haves: 3+ years of hands-on Azure engineering experience (IaaS ? PaaS), including Infra as … data SMEguiding system administrators and upskilling junior technical team members. What You'll Achieve in Year 1 Months 312: Design and build their Azure data lake using Synapse , Fabric , or an alternative strategy. Ingest data from core platforms: NetSuite , HubSpot , and client RFP datasets. Automate data pipelines using ADF , Fabric Dataflows More ❯