Overview Contract Duration: 6 months Location: London Experience: Minimum 10 years (ideally 10–15 years in Data Engineering) Must-Have Skills: PySpark, Databricks Detailed Job Description Strong communication and client-facing skills with 10–15 years of experience in the Data Engineering space (PySpark, ADF, Databricks, SQL) Ability to understand client requirements and translate them into technical solutions Hands-on experience creating conceptual diagrams and developing data models Expertise in Medallion architecture using Azure Services Proficiency with Erwin for data modeling Ability to guide the data engineering team after requirement gathering using ADF, Databricks, Python, JSON, and YAML Skilled in preparing source-to-target mapping designs/documents Good team collaboration skills Strong understanding of dimensional modeling, normalization, data harmonization, and schema design Excellent communication, problem-solving, and technical project management abilities Experience deploying code artifacts using GitHub Workflows/Actions and CI/CD pipelines Knowledge of Log Analytics and KQL queries is a plus Familiarity with configuration settings using JSON files Seniority level Mid-Senior level Employment type Contract Job function Information Technology Industries IT Services and IT Consulting Note: Referrals increase your chances of interviewing at BlueRose Technologies. Get notified about new Technology Architect jobs in London Area, United Kingdom. #J-18808-Ljbffr
Technology Architect employer: BlueRose Technologies
As a leading technology firm based in London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from competitive compensation, comprehensive training programs, and ample opportunities for professional growth, making it an ideal environment for those looking to advance their careers in data engineering. Join us to be part of a forward-thinking team that values your expertise and contributions.
