3 of 3 Contract Data Engineer Jobs in the City of London

Senior Data Engineer/Power BI Developer - sought by investment bank based in London - Contract - Hybrid *inside IR35 - umbrella* Essential: Proven experience in a Data Engineering or BI Developer Strong understanding of front-office trading , risk , or market data (not back-office finance or regulatory reporting). Proficiency in SQL and at least one programming language … e.g., Python, Scala). Experience with BI tools such as Power BI, Tableau, or Qlik. Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures. Desirable: Background in financial services, particularly within investment banking or asset management. Experience working with time-series data and real-time data processing. Knowledge of risk metrics (VaR, Greeks, PnL More ❯

Client-Facing Data Engineer (Palantir Foundry-Focused) Location: Remote (UK) Engagement Type: OutsideIR35 Contract/Project-based (1-2 days/month onsite, rest is remote) Please note: The client is unable to sponsor visas at this time. Applicants must have the right to work in the UK. About the Role: We are seeking experienced, client-facing engineers … with recent Palantir Foundry and exposure to Large Language Models (LLMs) to deliver creative, impactful client solutions.This is not a pure data engineering role we are looking for individuals who can bridge technical delivery with real-world client needs and create usable, long-lasting solutions. You will be responsible for delivering creative, functional workflows and apps (not just pipelines … running client sessions independently. What You'll Do: Collaborate directly with enterprise clients to design and implement impactful solutions in Foundry Own the development of operational use cases (beyond data pipelining), including apps, workflows, alerts, dashboards, and prototypes Lead technical sessions with stakeholders, translating business needs into scalable solutions Work with teams to scope, design, build, and refine features More ❯

Core Responsibilities: Design and build robust data pipelines within Foundry. Integrate diverse data sources using Foundry's Ontology and Code Workbooks (Python, SQL). Develop and maintain Foundry applications (data lineage, pipelines, object models). Collaborate with analysts, data scientists, and business users to understand requirements. Optimize data flows and system performance. Due to the More ❯