Data Engineer

Background on what ING is about (Generic ING background):

ING Hubs Philippines (ING Hubs PH) is an international part of the ING organization delivering services to many Business Units across the world for both Wholesale Banking and Retail Banking activities. Working for ING Hubs PH means working with the most diverse workforce and where no challenge is the same.

At ING our purpose is to empower people to stay a step ahead in life and business. We believe that sustainable progress is driven by people with the imagination and determination to make a better future for themselves and those around them.

ING is changing what banking is. For you, that means plenty of opportunities for personal growth in a continuously evolving environment. If this is the environment you thrive in, then apply and join us in changing the future of banking!

The Team

Within ING, there is ING Analytics (INGA) - a major driving force in its digital transformation of the bank.

By creating measurable value for ING and its customers through world-class analytics products and services, INGA helps ING to become a leader in data-driven decision-making. Among others, INGA delivers call & speech analytics, generative AI in risk summarization, insights into portfolio performance, advanced ESG data insights (commercial purposes), data analytics platforms (cloud and on-premises), and many more.

Job Overview

We are looking for a Data Engineer to join us. In this role, you will be responsible for designing, building, and optimizing complex data pipelines to process transactional and other data. You will collaborate closely with data scientists and analysts in developing and maintaining data solutions and INGA’s data architecture to support the next generation of products and data initiatives.

We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills. We hire people based on an evaluation of their potential and support them throughout their time. Come join us!

Minimum Qualifications

Bachelor's degree or equivalent practical experience.
Excellent communication skills, capable of working collaboratively in a semi-remote, globally distributed team.
Hands-on experience building complex data pipelines (e.g., PySpark, Airflow).
Comfortable with Python and SQL.
Experience designing data models, and using SQL database management systems, along with data processing using traditional and distributed systems.
Knowledge of software engineering best practices and tools (e.g., CI/CD tools, testing).

Preferred Qualifications

Curious mindset; you are collaborative and passionate about helping others to grow and improve.
Experience with deployment and provisioning automation tools.
Experience with monitoring and observability (ELK stack).
Knowledge of MLOps architecture and practices.
Knowledge of data manipulation and transformation.