Senior Data Engineer

Description

We are looking for a Senior Data Engineer - Reporting & Process Optimization to support our regulatory reporting transformation initiative within an investment banking environment. The primary focus of this role is to maintain the current reporting system built in Python, while also leading the migration to Azure Databricks to improve performance, scalability, and efficiency. This role involves developing, optimizing, and automating reporting processes using PySpark and SQL, ensuring accurate and timely regulatory report generation. The successful candidate will work closely with risk teams, regulatory compliance teams, and data engineers to enhance reporting workflows and integrate the new system into our Azure cloud infrastructure. This is an exciting opportunity to work on critical financial reporting processes, contributing to regulatory compliance, data governance, and process efficiency improvements.

What we offer

• Global Relocation - (Relocation options; Experience in an international environment; Cross-cultural experience)

• Recognition and Evaluation - (Feedback culture; Regular appraisals)

• Time Off - (Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority; Occasional leave - 1 or 2 days/ depending on the circumstances; Child care leave - 2 days or 16 hours per year; Absence due to force majeure - 2 days or 16 hours per year; Maternity Leave - 20 weeks; Parental Leave - 41 weeks; Paternity Leave - 14 days)

• Luxoft Training Center - (Expert-led tech courses covering basic to advanced topics; Internal instructor-led soft skills courses; Comprehensive in-house self-learning resources for both soft and hard skills; Access to external self-learning libraries like ProQuest eBook and Udemy for Business; Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy; Custom Learning Programs: upskilling, reskilling, technical mentorship; Leadership Programs for Managers)

• Well-being and Work-life Balance - (Multisport card; Possibility to order Multisport card at the corporate rate for family members; LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.; One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners; Preferential banking offer; Preferential car leasing offer; Cafeteria program discounts for shops, cinema tickets, holiday offers; Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support)

• Health Care - (Private Healthcare Insurance with unlimited access to specialists; Full dental support; Travel Insurance; Possibility to add private healthcare coverage for family members at the corporate rate; Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer; Reimbursement for corrective glasses)

• Company Events and Friendly Environment - (Many fun social activities organized by the Luxoft team offline in your city; Online entertainment events for whole company and local team events; A workplace where you’re treated with respect within a multicultural team)

• Internal Mobility - (Rotation between projects and accounts; New career opportunities)

• Self-Learning Library

• CSR Projects

Other

• Languages: English: C1 Advanced

• Seniority: Senior

Requirements

• minimum 4+ years hands-on application development experience using Databricks with Python

• experience with PySpark, Pandas, Numpy, unit testing

• hands-On Experience on SQL Server/ PostgreSQL database

• practical experience with microservice architectures, CI/CD pipelines (preferably with GitLab)

• good to have exposure to cloud native services on Azure

• experience in translating high-level business requirements into IT requirements

• excellent communication skills

• bachelor's/master's degree or equivalent with a focus in software engineering

• Azure Data Services

• ETL & Data Processing,

• Financial Data Processing, experience handling risk, compliance, and regulatory data in an investment banking environment.

• Data Modeling, meta data management

• Git, GitHub, GitLab,

• Jenkins

• Regulatory compliance knowledge: Basel, MiFID, GDPR

• Big Data

• Cloud security and access controls (IAM, RBAC)

• Familiarity with Docker, Kubernetes, Apache

Zakres obowiązków

• drive the modernization and scalability of the client, transaction, and regulatory reporting platforms, within Asset Management technology

• implement high quality solutions that address business needs and adhere to industry standards

• drive automation of manual processes to the next level

• closely collaborate within an agile team and a global agile organization

• translate high level business requirement into technical requirements addressing reliability, scalability, and performance needs