Data Engineer (IBM Cognos)

Job description

As a Data Engineer , you'll join our Retail Banking team , where data plays a critical role in improving customer experiences, optimizing business processes, and supporting strategic decision-making. You will be responsible for the end-to-end development of analytics and reporting solutions, from sourcing and transforming data to building reports, dashboards, and data models. Working closely with business stakeholders and technical teams, you'll help deliver insights that create measurable business value. About the Team You will become part of ING Hubs Philippines, an international team supporting ING's Retail Banking business. Our teams bring together diverse perspectives, collaborate across borders, and embrace a culture of continuous learning and shared success. This is an opportunity to work with colleagues from different countries, exchange knowledge with global experts, and contribute to data-driven initiatives that improve both customer and business outcomes. What You'll Do Develop and maintain reporting and analytics solutions that support business performance and decision-making Gather requirements and translate business needs into scalable data and reporting solutions Extract, transform, validate, and integrate data from multiple sources Design and implement data handling processes, including ingestion, transformation, modelling, and storage Build dashboards and reporting solutions using Cognos and Power BI Analyze complex datasets to identify trends, risks, and opportunities for improvement Present insights and recommendations to business stakeholders Support continuous improvement initiatives through data-driven analysis Ensure data quality, consistency, and reliability across reporting assets Collaborate with business and technical teams to deliver high-impact analytical solutions What We're Looking For Required Skills & Experience At least 2-5 years of experience in a data-related role Expertise in ETL technologies such as IBM DataStage or similar data integration tools Strong expertise in SQL and relational database management systems (RDBMS) Experience handling both structured and unstructured data Extensive experience designing and implementing data handling processes, including data ingestion, data transformation, data modelling, and data storage. Strong understanding of data warehousing, data quality, and business intelligence concepts Experience building dashboards and reports using Cognos and Power BI Effective communication and stakeholder management skills Ability to work independently with a proactive mindset Flexible and willing to learn new ETL and data integration technologies Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, or a related quantitative discipline Nice to Have Experience within banking, financial services, or highly regulated industries Experience working with additional ETL or data integration technologies Exposure to predictive analytics and statistical modelling Knowledge of Python for data analysis and automation Experience driving process improvement initiatives through data and analytics Experience presenting recommendations to senior stakeholders What We Offer Opportunities to collaborate with international teams across the ING network A culture that encourages continuous learning and professional growth Exposure to enterprise-scale data engineering and analytics initiatives A diverse and inclusive workplace where your ideas are valued The opportunity to solve meaningful business challenges using data The chance to contribute to products and services that impact millions of customers worldwide Worried about the wage gap? So are we. Our commitment to pay equity means you'll be valued for your skills, not your gender. How to Apply Interested in joining us? Click the apply button on our careers site and submit your application through Workday . Job Application Safety Reminder ⚠️ We're seeing an increase in fraudulent job offers. To protect yourself, please follow these key guidelines when applying for roles at ING: Apply only via official ING platforms. ING uses Workday as its internal recruitment system. Applications should be submitted only through our official careers site. Check the sender's email carefully. Legitimate communication will always come from @ing.com and/or @myworkday.com . ING will never ask for payments or banking details during the recruitment process. If someone requests this information, it is a scam. About ING With 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what's possible and at the same time ensure you work with integrity and hold the customer's interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.