Data and Financial Engineering Analyst

O projekcie: 📍 Client: lead international bank | B2B contract 🗣️ Recruitment: phone screen with our recruiter + technical test + 2 on-line meetings with the hiring managers 🗺️ Hybrid work: 2 days per week from the office in Cracow Verita HR is an international company providing recruitment support within #Fintech, #Finance and #Banking market in EMEA. We connect the most innovative organizations with the best people in the market. We conduct systematic market research, which allows our Digital Teams to be a step ahead of the competition. You’ll sit within Product Control Data and Financial Engineering Team, partnering day-to-day with Product Control stakeholders to modernise controls and analytics. The focus is on building robust, automated solutions in Python/SQL, migrating legacy SQL Server logic into a scalable Python-based stack and ensuring outputs are policy-compliant, well- governed and production-ready. What's in it for you? - Prestigious position at one of the world's largest banks - Stable, long-term projects - Hybrid work (2 days per week from the office in Cracow) and flexible working hours - Working with modern IT technologies - Growth and development opportunities with the possibility to move between projects - Private healthcare and multisport card - Referral program, free parking and company events Wymagania: - Strong hands-on development in Python and SQL (writing production-quality, maintainable code)- Knowledge of Jira, Git, test driven development- Experience with financial data- SDLC best practices (version control, code reviews, testing, documentation, release management)- Experience building ETL/ELT processes and working with relational databases (ideally SQL Server) and data modelling concepts- Strong analytical skills and a proactive approach to problem solving Codzienne zadania: - Design, build and maintain automated solutions to improve controls and analytical processes (Python/SQL) - Build and maintain ETL/ELT pipelines: ingest, transform, validate and publish datasets for downstream Product Control use cases - Develop strong understanding of data sourcing and lineage (inputs, transformations, outputs), including data quality checks and reconciliations - Partner with Product Control stakeholders to ensure solutions meet requirements and comply with relevant policies and control standards - Cooperate with Technology to ensure smooth integration, deployment and supportability (e.g., environments, scheduling, access, release processes) - Promote programming and data literacy within Product Control (documentation, reusable patterns, peer support) - In cooperation with the wider Product Control Data & Engineering team, support the correct delivery of standardised data to line teams