Data Engineer
Summary
ING is hiring a mid-to-senior Data Engineer in Manila to design, build, and maintain secure, scalable data pipelines and platforms for business-critical banking data products across the full data lifecycle. Core stack is Python, SQL/NoSQL databases, ETL/ELT and CI/CD, with cloud, Kafka/Spark, and Kubernetes as pluses.
Build the data products that power smarter banking
Data plays a critical role in shaping the future of banking. At ING, we're looking for a Data Engineer who enjoys solving complex challenges, building scalable data solutions, and collaborating with teams across the globe.
If you're passionate about designing modern data platforms, working with cutting-edge technologies, and helping transform data into business value, this could be the opportunity you're looking for.
Role Summary
As a Data Engineer within our Data Management Tribe, you will design, build, and maintain secure, scalable, and high-performing data solutions that support business-critical data products across ING. You'll work across the full data lifecycle, from ingestion and transformation to storage, modeling, and consumption.
Working closely with Product Owners, Data Analysts, Software Engineers, and technical leads, you'll help deliver reliable and efficient data capabilities that enable better decision-making across the organization.
This is a permanent mid-to-senior level opportunity for professionals who enjoy working in an international environment and are motivated by technical excellence, innovation, and continuous improvement.
About the Team
The Data Management Tribe enables trusted, accessible, and scalable data solutions across ING's banking and financial services landscape. You'll join a collaborative team of engineers and data professionals who are passionate about creating impactful data products and advancing data capabilities.
Our teams work closely with global stakeholders across multiple countries, providing opportunities to collaborate internationally, share knowledge, and contribute to large-scale initiatives that drive meaningful business outcomes.
You'll also benefit from an engineering culture that promotes innovation, learning, knowledge-sharing, and professional growth.
Required Skills
We're looking for candidates who bring experience in:
Python development and data engineering practices
SQL, relational databases, and NoSQL databases
Data warehousing, data modeling, and data architecture
Building and maintaining ETL/ELT processes and data pipelines
Data ingestion, transformation, storage, and processing solutions
Software quality practices and data pipeline testing
CI/CD, DevOps practices, automation, and scripting
Working with distributed and cross-functional teams
It would be advantageous if you have experience with:
Cloud platforms such as Azure, AWS, or GCP
Streaming technologies including Kafka or Flink
Spark and large-scale data processing environments
Docker and Kubernetes
Microsoft SQL Server or Oracle databases
We're particularly interested in individuals with strong problem-solving capabilities, a solution-oriented mindset, and a passion for building high-quality data products.
What We Offer
At ING, you'll have the opportunity to:
Work on impactful data products within a global banking organization
Collaborate with international teams and stakeholders across multiple markets
Build solutions using modern data technologies and engineering practices
Contribute to innovation initiatives that help shape the future of data within ING
Learn from experienced engineers through knowledge-sharing communities and technical collaboration
Grow your career through development opportunities, certifications, and continuous learning
Join an inclusive, supportive environment that values diverse perspectives and professional growth
Equal Employment Opportunity
Worried about the wage gap? So are we. Our commitment to pay equity means you'll be valued for your skills, not your gender.
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