Data Engineer

Background on what ING is about:

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!

Job Overview

The Data Engineer will be accountable for producing analytics and insights which deliver material efficiency, risk and customer experience benefits. The incumbent will be accountable for the end-to-end development of analytics including requirements gathering, sourcing and integrating data, building analytical models, publishing insights and data visualization as well as the ongoing maintenance and optimization of these assets.

The role works with, and supports Senior Management, Tribes and Process Leaders to execute a data driven optimization strategy for business decisioning.

Key Responsibilities

• Develop reporting & analytics which aim to use reporting, monitoring and predictive analytics to optimise business performance.
• Use complex data and tools to understand all aspects of process performance and explain performance trends to senior stakeholders and business partners.
• Recommend process improvements to senior stakeholders
• Utilize best practice data visualization techniques to powerfully convey insights and facilitate data discovery
• Drive a culture of continuous improvement and innovation within business units to improve service, reduce costs and manage risk within appetite

Key Capabilities/Experience

• 2+ years of work experience in a data-related position.
• For a Senior role: 5+ years of work experience in a data-related position within a banking team, working with business and technical experts.
• Strong experience in processing data for BI purposes: exploring and processing data, data modelling, data warehouses, data quality and analysis.

Minimum Qualifications

• Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or a related field. An advanced degree (e.g., Master, PhD) or a strong academic record with advanced coursework in Math, Statistics, and data management is a strong plus.
• Experience in relational database & data warehouse.
• Proficiency in querying languages (e.g. SQL, SAS) or other data mining and manipulation tools
• Extensive experience using data visualization tools in creating storytelling dashboards and reports specifically Power BI and Cognos
• Experience in building predictive analytical models (e.g. Python) is a plus.
• Strong communication skills
• Ability to operate at own initiative with a pro-active attitude in line with bank policy
• Effective interpersonal skills
• Strong organizational, analytical and problem-solving skills