Data Engineer (Google Cloud) – Financial Markets

We are looking for you, if you:

• Have 3+ years of data engineering expertise,
• Have a strong analytical skills, proactivity and ability to work in cross-border international teams,
• Have a proficiency in designing and implementing data warehouse solutions,
• Have an experience in building and managing data ingestion and data transformation solutions,
• Have an experience with designing BI dashboards,
• Have a fundamental knowledge of at least one programming language (Python or Java),
• Are fluent in SQL and expertise in query optimization techniques,
• Have an experience in Continuous Integration & Continuous Delivery tooling/practices,
• Have an experience or affinity with IT Security concepts,
• Contribute to technology choices and architecture of newly built components and services,
• Interpret business requirements with the Product Owner and Feature Engineer during the refinement sessions,
• Fluent English.

We are in search of strong data engineer who is technically passionate, solution-focused and able to contribute to the design, development, test automation and hardening (security, stability, deployment) of our in-house-developed pricing & risk components.

You'll get extra points for:

• Google Cloud Certification,
• Experience with GCP technologies: BigQuery, DBT, Dataflow, GCS, PubSub,
• Experience with BI tools like Looker, Tableau or PowerBI,
• Experience with Azure DevOps.

Your responsibilities:

• Willingness to listen to, understand, learn from, but also give back to your (international) colleagues,
• Focus on delivering working software of high quality that satisfies customer requirements,
• You are curious and understand the latest developments in the technical and financial services,
• Willingness to understand Financial Markets concepts or familiarize yourself with the domain,
• 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.

Information about the squad:

The ING Pricing Architecture (IPA) platform consists of multiple components that enable real-time and batch calculations of financial risk metrics and simulations (e.g. XVA, PFE, Value at Risk, Expected Shortfall, Bilateral Margining, pre-deal derivatives Pricing) which are driven by new banking regulations as well as advanced Risk analysis on the derivative product portfolio of Financial Markets (interest rates, credits, foreign exchange). 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), cooperating to evolve it towards target ING Financial Markets IT vision.

The IPA Collateral Purpose

IPA Collateral aims to be an enterprise-wide collateral monitoring tool that shows collateral positions (against their exposures), collateral agreements, disputes and margin call information across the major Financial Markets product silos:

- OTC Derivatives,

- Securities Financing,

- Central Clearing Counterparties,

- Exchange Traded Derivatives.

The role naming convention in the global ING job architecture will be “Engineer III”.