Senior Data Engineer (Scala – Spark) Amsterdam Group 2

You will be working on a Trading platform which consists of multiple components that enables real-time and batch calculations of financial risk metrics and simulations which are driven by new banking regulations . This platform is in the heart of the IT landscape for our global dealing rooms and risk managers in Asia, Europe and Americas, with 7-9 scrum teams spread across 4 locations (Amsterdam, Brussels, Bucharest and Singapore). What we are looking forWe are in search of a strong Developer who is technically passionate, solution-focused and able to contribute to design, development, test automation and hardening (security, stability, deployment) of our components. Your key competencies:• Hands on coding, debugging and performance tuning experience on Apache Spark and Scala.(3 years)• Experience on Apache Nifi , Ansible, Azure Devops etc, is plus.• Has ETL knowledge (batch and/or real time) ,building data pipeline is plus.• Ingesting data from multiple sources into a reporting platform, big data platform, data validations, merging data, report building.• Willingness to listen to, understand, learn from, but also give back to your (international) colleagues.• You are curious and understand the latest developments in the technical and financial services.• You are comfortable discussing features with stakeholders and product owner and can translate the information gained into stories and working software with real business value.• You have curiosity to learn and understand fundamentals (e.g., serialization, threading, transactions, functional programming benefits) even when using high-level technologies and frameworks. What you bring to the team• A University degree in Computer Science, Cybernetics, Software Engineering, Financial Engineering or equivalent• Good communication skills in English• Strong analytical skills, proactivity and ability to work in cross-border international teams.• Comfortable with remote collaboration tools (MS Teams), inner drive to stay productive in Work from Home world at least for some part of your time.