The Role
Designs, builds, and maintains secure, scalable data solutions across the full data lifecycle, including ingestion, transformation, storage, modeling, and consumption. Develops ETL/ELT pipelines, data platforms, and data products while applying software quality, testing, CI/CD, DevOps, and automation practices. Collaborates with product owners, analysts, software engineers, and global stakeholders to deliver reliable data capabilities for banking and financial services.
Summary Generated by Built In
Build the data products that power smarter bankingData 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 SummaryAs 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 TeamThe 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 SkillsWe'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
- 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
- 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
- Apply only via official ING platforms: ING uses Workday as its internal recruitment system. Applications should be submitted only via our official career site.
- Check the sender's email carefully: legitimate communication will always come from @ing.com and/or @myworkday.com
- No payments or banking details will ever be requested. If someone asks for this information, it's a scam.
Skills Required
- Experience with Python development and data engineering practices
- Experience with SQL, relational databases, and NoSQL databases
- Experience with data warehousing, data modeling, and data architecture
- Experience building and maintaining ETL/ELT processes and data pipelines
- Experience with data ingestion, transformation, storage, and processing solutions
- Experience with software quality practices and data pipeline testing
- Experience with CI/CD, DevOps practices, automation, and scripting
- Experience working with distributed and cross-functional teams
- Experience with cloud platforms such as Azure, AWS, or GCP
- Experience with streaming technologies including Kafka or Flink
- Experience with Spark and large-scale data processing environments
- Experience with Docker and Kubernetes
- Experience with Microsoft SQL Server or Oracle databases
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The Company
What We Do
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers
