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Hybrid Data Engineer: Databricks, Fabric & Lakehouse
Designs and optimizes enterprise data pipelines using Databricks and Microsoft Fabric, focusing on ETL/ELT workflows, Delta Live Tables, and Medallion Architecture for clean, production-ready analytics data.
ERP Data Engineer: Enterprise Analytics & Modeling
Senior Data Engineer focused on ERP data modelling and enterprise analytics across Finance, Procurement, Supply Chain, Planning, and CRM, bridging business requirements with data platforms in a hybrid role at a large international organisation.
Data Engineer | AWS PySpark & Analytics (Hybrid)
Builds scalable AWS data pipelines with PySpark to power analytics and reporting for a government digital team.
Data Engineer – Cloud & SAS/SQL Analytics (Hybrid)
Data Engineer at HMRC connecting debt management systems with transactional systems, designing architectures using SAS Enterprise Guide, SAS Viya, Data Integration Studio, and GitLab.
Senior Data Platform Engineer Cybersecurity & GenAI
Build and maintain a scalable data platform for cybersecurity analytics and GenAI, integrating security data sources and enabling advanced analytics and machine learning.
Senior Data Engineer: Snowflake, dbt for Finance Data
Senior Data Engineer designing and building Snowflake schemas and dbt models to support billing, ARR, and revenue recognition for finance and FP&A teams.
Data Engineer
Data Engineer building and maintaining ETL/ELT pipelines on Microsoft Fabric Lakehouse with Python/PySpark and developing Power BI reports and semantic models for a global manufacturing organisation.
Data Engineer: Build Scalable Pipelines & Cloud Analytics
Build and maintain scalable data pipelines on Google Cloud Platform to support analytics and dashboards for a media company.
Data Engineer
Builds and optimizes a data platform for electric car leasing, focusing on ETL pipelines, ML infrastructure, and self-service analytics to support business growth and decarbonization efforts.
Data Engineer I: Cloud Pipelines & Dashboards (Hybrid)
Builds and maintains cloud-based ETL pipelines and creates BI dashboards to support analytics and operational decisions.
Graduate Trainee– Data Engineer
Graduate Data Engineer trainee at Wigan Council supporting data integration, analysis, and reporting projects while completing a Level 5 Data Engineer Apprenticeship and Microsoft Fabric certification.
Senior Data Platform Engineer
Build and maintain a secure data platform for cyber analytics and GenAI, integrating security data and enabling ML-driven threat detection.
Platform Data Engineer - Cardiff
The Data Platform Engineer will design and build scalable data pipelines, analytics platforms, and data warehouse solutions to support game infrastructure. The role requires strong data engineering expertise and the flexibility to contribute to backend, infrastructure, and SDK development.
Senior Data Platform Engineer
The Senior Data Platform Engineer will design and maintain scalable data architectures to support cybersecurity threat detection and analytics. The role involves building data pipelines using Python, SQL, Spark, and cloud-based big data tools while implementing DevOps practices.
GCP Data Platform Engineer
The GCP Data Platform Engineer will design, build, and maintain secure, production-ready infrastructure patterns for Homeprotect's data analytics platform using GCP and Terraform. The role involves supporting data pipelines, managing access controls, and ensuring platform reliability and observability.
Data Engineer — National Security Data Pipelines
Builds and maintains data pipelines for national security projects, integrating diverse data sources and enabling analytics for defense and security applications.
Data Engineer
Boots is seeking a Data Engineer to build and maintain data pipelines and a self-serve data platform using Microsoft Azure, Databricks, and Spark. The role involves working within a multidisciplinary squad to support business decisions across pharmacy, supply chain, and retail domains.
Data Engineer
The Data Engineer will design and maintain production-grade data pipelines and reporting systems using GCP, BigQuery, and Tableau to support middle and back-office operations. The role involves collaborating with cross-functional teams to build robust data models and infrastructure within an algorithmic insurance environment.