SENIOR DATA ENGINEER / DATA WRANGLER - (FINANCIAL SERVICES) 6-MONTH CONTRACT £400 PER DAY (INSIDE IR35) ASAP START THE COMPANY Join a prestigious financial services consultancy supporting top-tier clients on sensitive, high-impact forensic data analytics projects. Operating under strict NDAs, the firm tackles complex financial investigations involving billions of records from multiple sources. You'll be part of a dynamic team transforming raw data into actionable insights for reporting and compliance. THE ROLE As a Senior Data Engineer / Data Wrangler, you will lead the organization, transformation, and validation of massive financial datasets (Oracle, SQL, XML, CSV, text). Your focus will be on data lineage, comparative analysis, and forensic data engineering to ensure data accuracy and usability. You'll collaborate closely with stakeholders through frequent stand-ups and continuous monitoring, driving data quality in an intense, fast-paced environment. Key responsibilities: • Wrangle, format, and organize large financial data sets for reporting and analysis • Develop and maintain Python scripts (using pandas) for forensic data processing • Write and optimize SQL (T-SQL and Oracle) for data extraction and validation • Perform comparative and lineage analysis to identify data inconsistencies • Initially able to work onsite regularly with flexibility, particularly during early stages of the contract KEY SKILLS & REQUIREMENTS • 3-5 years minimum in data engineering or forensic analytics • Very strong SQL skills, including T-SQL and Oracle • Proficient in Python scripting with pandas • Experience working with large financial data sets and complex formats • Background in financial services consultancy or investigative firms (e.g., EY, PwC, Deloitte, Goldman Sachs) highly desirable • Ability to work onsite regularly and commit fully to project timelines DESIRABLE • Experience handling sensitive financial data under NDA • Comfortable working in on-premise environments • Forensic data analysis experience This is an excellent opportunity to work on a high-profile project with leading financial clients, delivering critical insights through expert data wrangling and engineering.