Data Engineer

Data Engineer - Financial Services (Contract) • Day Rate: £425 per day (Outside IR35) • Location: Remote first (UK-based candidates only) • Contract: 6-month rolling (long-term project - several years) We are seeking a skilled Data Engineer with strong experience in asset management, investments, or reinsurance to join a consulting team on a long-term engagement. This role offers the opportunity to work on cutting-edge data projects within the financial services sector, leveraging modern tools and cloud platforms to solve complex data challenges. This is an immediate requirement with a streamlined interview process - an initial 20-30 minute CV and experience discussion, followed by a 1-hour technical interview including a coding test. Responsibilities • Perform complex data manipulation and analysis to support senior business experts and stakeholders. • Develop solutions using Python and associated libraries (Pandas, NumPy) to process and automate large datasets. • Write efficient SQL queries to extract, transform, and manage financial data. • Work with BigQuery/GCP for large-scale data projects. • Collaborate with expert teams to understand business requirements and translate them into actionable data solutions. Required Skills & Qualifications • Domain expertise: Recent experience (within the last 2 years) in asset management, investments, or reinsurance. • Python: Strong experience with core data libraries (Pandas, NumPy). • SQL: Excellent querying and data manipulation skills. • Cloud: Exposure to GCP/BigQuery. • Education: Degree in investments, accounting, actuarial science, or a related field from a UK-based university. Nice-to-Haves • Familiarity with tools such as dbt and Databricks. • Experience on investment-related projects or within reinsurance/life insurance domains. If you are a motivated Data Engineer with financial services expertise, we'd love to hear from you. Apply today to start the process.