Luxoft is a global leader in high-end software development.
Luxoft is looking for talents with a passion for technology & ready to create original solutions. Once on board, you are invited to expand your knowledge & skills, offering you a continuous learning experience helping you stretch your potential.
So if you’re enthusiastic by the idea of accessing cutting edge technology & innovation to make an impact, why don't you join us?
- As a Senior Data Engineer, you support architects and data scientists in defining and making use of key IT architecture metrics for managing architecture complexity as well as IT productivity as a foundation for architecture simplification
- You are actively involved in collating and consolidating data for all key focus areas of the team
- You design, refine and implement a data hub as a foundation for IT architecture metrics and analytics
- You design and implement visualizations for various metrics suiting stakeholders' requirements
- You evaluate additional IT management metrics for suitability and strategic persistence options
- You identify data quality issues, e.g. by analyzing cross-system data consistency, and propose mitigation actions
The Complexity & Analytics team is part of the central Group IT Strategy & Architecture function and is therefore responsible for all bank-wide reporting and data analyses concerning the overall IT architecture. This includes regular KPI and metric reporting as well as timely responses to ad-hoc analytical demands. Typical customers of the regular reports are divisional and functional CIOs and Chief Architects as well as a broad community of IT Owners. All these analytics are based on a data hub which is designed and maintained by the team. Therein, data from several other IT management systems is collected, integrated, harmonized and archived. Enhancing this data hub is key for the team to expand the scope of possible analytics and to increase efficiency. In addition, IT complexity measurement is one of the major focus areas for which new concepts are constantly developed, implemented and rolled-out within the company. Other topics comprise end-of-live management, solution delivery process compliance, IT productivity and investment monitoring.
Team: Currently the team consists of seven people whereof four are located in Switzerland, two are located in Poland and one is located in India. Responsibilities are mostly structured end-to-end topic-wise. Each SME is taking care about design, operations (data processing, data visualization, reporting) as well as customer interaction. In addition, one person is focusing on testing and another keeps oversight about recurring operational tasks. Currently, there is no responsible person for overseeing the entire data hub and ensuring consistency, maintainability and efficiency. The team works agile and follows the SCRUM methodology.
Technologies used: SQL
Opportunities: This position offers the unique opportunity to get an overview on all major IT-related management processes within a global financial service provider. The data and analytics provided by the team are usually integrating different perspectives, e.g. IT strategy, financial planning and change execution, and highlighting potentials for further alignment and improvement. All analytics produced by the team are input to major strategic or financial decisions of executives. The latest work of the team about measuring and improving IT productivity provides lots of opportunities to bring in new ideas and contribute to a major bank-wide initiative.
