2 of 2 Data Lake Jobs in Glamorgan

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 focus—blending architecture, automation, and data engineering—to empower s … 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 … SME—guiding system administrators and upskilling junior technical team members. What You'll Achieve in Year 1 Months 3-12: 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 ❯

Staff Software Engineer - Data Department: Engineering Employment Type: Full Time Location: Cardiff Description is the UK's first comparison platform for car insurance. We've been helping customers since 2002 by empowering them to make better decisions around insurance and financial services. Our mission is simple: take away the confusion when comparing financial products and services to help … act as a multiplier. What we look for in you Understand, assess and effectively apply modern data architectures (dimensional model, data mesh, data lake). Experience in applying and using data observability methods effectively. Experience in modern software development practices (agile, CI/CD, DevOps, infrastructure as code, observability). Experience … most of the following: Strong knowledge of SQL and Python programming. Extensive experience working within a cloud environment. Experience with big data technologies (e.g. Spark, Databricks, Delta Lake, BigQuery). Experience with alternative data technologies (e.g. duckdb, polars, daft). Familiarity with eventing technologies (Event Hubs, Kafka etc ). Deep understanding of file formats and More ❯