Senior Data Engineer

Description

You'll be working in the Regulatory Reporting team in Poland, in the Investment Bank within the Digital Operations Stream. Our purpose is to transform the way client does business by simplifying and improving the products and platforms relied on by our Regulatory and Data Clients. We play a crucial role in enabling the Investment Bank to meet its regulatory obligations and create value from its wealth of data. We develop and implement the most innovative technologies available within client in our solutions and products. Our small, autonomous Agile teams are empowered to respond to client demands while challenging the ways of working to improve our delivery experience. With members based in London, New York, Singapore, Zurich, Poland, and India, we pride ourselves on being an inclusive and diverse team. We are looking for experts keen to keep learning and changing the game with us. Diversity helps us grow together. That's why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.

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

• Bachelor's degree in Computer Science or equivalent in the IT field with 10+ years of experience in a similar role

• Hands-on experience with SQL, Databricks, Python (advanced)

• Hands-on experience building scalable data pipelines, processing high-volume data in batch as well as stream for near real-time analytics

• Hands-on usage of AI in engineering SDLC.

• Experience with Big Data, Data Warehouse, and Data Lake

• Experience with Cloud technologies (e.g., Azure), Unix/Linux, and shell scripting

• Experience with Spark, Delta Lake, DLT, GitLab

• Extensive experience designing applications, specifically considering the NFRs around high throughput and low latency for data processing

• Expertise in building automated functional testing and CI/CD pipelines using industry-standard tools

• Ability to quickly implement prototypes and iterate to harden the product with good engineering principles

• Experience in database development (e.g., SQL, PL/SQL, PostgreSQL, Azure SQL) is desirable

Responsibilities

• design, implement, and maintain new and existing data-driven applications

• ability to develop and see through solutions end-to-end.

• engineer reliable data pipelines for sourcing, processing, distributing, and storing data

• design data models that can support ever-growing volumes

• contribute to all stages of the software development lifecycle

• provide technical expertise, recommendations, and innovative solutions

• work collaboratively alongside the product owner and other technologists

• share expertise and best practices with colleagues and contribute regularly to our engineering culture