We’re Hiring: Technology Architect – Data Engineering (Hybrid – London) | Contract: 6 months | Work Mode: Hybrid (12 days WFO/month) We are looking for an experienced Technology Architect with deep expertise in PySpark, ADF, and Databricks to lead and design data engineering solutions for our client. What You’ll Do: Lead technical design using Medallion architecture and Azure Services Create conceptual diagrams, source-to-target mapping, and dimensional data models Guide the data engineering team on development with ADF, Databricks, Python, JSON, and YAML Implement performance optimization strategies during data transformation Deploy code artifacts using GitHub Workflows/CI-CD pipelines Collaborate effectively with team members and stakeholders Optional: Work with Log Analytics and KQL queries Must-Have Skills: 10 years of experience in Data Engineering Hands-on experience with PySpark, ADF, Databricks, SQL Strong understanding of dimensional modeling, normalization, schema design, and data harmonization Experience with Erwin and data modeling tools Excellent communication, problem-solving, and client-facing skills Why Join Us: Work in a dynamic, collaborative environment Hands-on experience with cutting-edge Azure data engineering technologies Hybrid setup providing flexibility while staying connected to the team