Job Title: Interim Senior Databricks Engineer / Modeller Location: London, City (4 days/week on-site) Contract Type: 12-Month Contract (Inside IR35) EM014 The Opportunity: A leading European investment management firm is looking for a highly capable Senior Databricks Engineer / Modeller to join their London team on a 12-month contract. There is a clear opportunity for this position to become permanent, based on performance. The successful candidate will step into a hands-on technical role focused on maintaining and developing a modern data platform, while also providing light-touch leadership to a small, capable team. The role sits within a business-critical function supporting portfolio and fund data initiatives across both BAU and small project workstreams. Key Responsibilities: • Support and evolve a modern data environment with a strong focus on Databricks, SQL, Python, and Power BI. • Deliver high-quality data models and workflows to support investment reporting and analytics. • Provide day-to-day guidance and oversight to junior team members. • Collaborate closely with internal stakeholders, ensuring data accuracy, availability, and operational efficiency. • Work closely with senior stakeholders including the CTO, COO, CFO, and Heads of Risk, Investment, and Operations to shape and execute the firm's data strategy. • Engage with business SMEs and analysts to understand requirements and translate them into robust data solutions. Ideal Profile: • Proven experience in a senior data engineering or modelling role, ideally within asset management, fund services, or investment banking. • Deep experience with: • Databricks (Spark/Delta Lake, notebooks, performance tuning) • SQL (strong querying, data manipulation) • Python (ideally for data pipelines or modelling) • Power BI (dashboards, reporting) • Financial services background essential – experience with open-ended funds, E-front, or fund performance data highly desirable. • Familiarity with small, high-performing teams – ideally with some experience in team coordination or mentorship. • CFA qualification (any level) or a financial engineering background would be a strong plus. • Fluent English required; French language skills beneficial. • Strong communication skills, attention to detail, and the ability to operate independently.