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.
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
Mandatory Skills Description
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
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