Senior Data Engineer (Python)

Driven by regulatory demand, our client, a top tier investment bank has to establish Global Operational Continuity in Resolution (OCIR) framework across the existing fragmented local solutions, harmonizing taxonomy, processes and procedures and increasing transparency on dependencies and risks in order to ensure and support going concern during resolution or stress situation.

Objective of our project is to provide a global analytics and MI solution using approved data sources, standardize and improve data quality. This global solution has to allow flexible configuration of regulatory rules to enable decommissioning of local fragmented solutions as well as flexible data models, business rules, documentation standards to ensure that capabilities and solutions are scalable, transparent and facilitate:

• Restructuring - timely execution of a bank's recovery and resolution plan
• Reacting to ad-hoc regulatory requests or rules changes
• Adaptation to a long-term roadmap

• Responsible for overall technology direction for the assigned module/project
• Designs, develops and modifies code based on functional and system requirements
• Ensure that architectural designs are future-proofed from a scale, load, and performance perspective
• Design and implementation of data processing systems and software
• Integration of existing databases in processing pipeline
• Implementation of low-latency and highly available APIs
• Perform development tool and environment design and configuration
• Support bug fixes, change requests and functional enhancement on the code
• Validates scope, plans and deliverables for assigned projects
• Interacts with Design team and Test team for requirements and defects
• Write reusable, testable and efficient code
• Participate in testing process through unit and functional testing

• Minimum 5+ years' experience in a similar role
• Functional knowledge of Python
• Fluent with SQL
• Good interpersonal skills, team player, able to work independently on tasks
• Clear written communication skills when documenting processes and features and communicating via e-mail
• Outstanding problem solving skills
• Comfortable working in an Agile environment

• Experience with Big Data technologies: HDFS, Hbase, Impala, Hive, Spark, PySpark
• Able to develop, monitor, debug and maintain a CI/CD pipeline that feeds into a production deployment, plus one or more staging and testing environments
• Experience with Apache AirFlow, Postgresql, Saltstack, Kerberos, Solr is a plus
• Experience with Microsoft Azure or GCP is a plus
• Any of Tomcat, Nginx, MongoDB would be advantageous
• Experience preferably within financial services

• Competitive salary
• Luxoft Training Center
• Access to e-learning Library
• Individual development plans
• Long-term cooperation with possibility to gain experience in different projects and technologies
• A significant number of professional communities (Agile Community, Tech Community, Business Analysis Community, etc.)

• Group Life Insurance
• Private healthcare insurance – LuxMed. Unlimited access to specialist consultations with Dental Care included
• Medical costs reimbursement for employees (up to certain amount per quarter)
• Travel Insurance
• Benefit Program - Cafeteria and Multisport Card

• Various communities (sport, recreation activities, trips, board games, cultural and educational activities)
• Discounts program for employees – BeLux (banking offer, car leasing offer and cafeteria program discount)
• Convenient locations in a modern offices with game rooms
• Multinational projects for clients all over the world