The... As a Platform Engineer at ING you will be able to influence the architecture and infrastructure design and operations of a global data analytics platform DAP that enables the organization to use data in an...
As a Platform Engineer at ING you will be able to influence the architecture and infrastructure design and operations of a global data analytics platform DAP that enables the organization to use data in an efficient and secure manner. This involves the building and maintaining components that allows the consumers of the platform perform data exploration, experimentation and model deployment.
A day in the life of a Platform Engineer
As a Platform Engineer you are a very crucial part of the team. Without your work, the platform is stagnant. You build components of the platform that enables the users to build scalable pipelines, deploy models in production, perform data discovery and metadata management. You are the one that is always finding new and innovative ways to improve storage performance, resource management for data processing frameworks. CEO’s rely on you to ensure that the entire organization has a secure and scalable data platform at their disposal. Other products are praising you for all the time you save that would have been required to build and maintain a secure infrastructure to host and process data.
When you arrive at work and finish your morning coffee, you sit with your team to understand what new features make the lives of the platform users easier. You brainstorm ideas on how to create Airflow as a service so several product teams can orchestrate their workflows in a standardized way.
You talk to other business users about what kind of additional features would help them in the secure development environment provided within the platform. After a lunch break with colleagues you think of a new way to improve resource provisioning for the applications running in Kubernetes. As a platform engineer at Analytics Engineering, you will never get bored with many experienced and skilled engineers around you, the freedom to innovate and to not only use open source tooling, but also contribute and teach about them.
ING Analytics Engineering team is a team of 150 people (and growing rapidly) that has the mission to make Banking in ING data driven. We do this by combining Big Data technology with Data Science to deliver high value solutions and products for our organization. We work in a fun and creative environment and we’re dedicated to bringing out the best in both each other and our projects.
Roles and responsibilities
Within the Wholesale banking Advanced Analytics team we use (amongst others) the following technologies and frameworks:
Data Security and Governance:
How to succeed
We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.
Nice to have the following skills:
Rewards & benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. You can find out more about our employment conditions at https://www.ing.jobs/netherlands/Why-ING/benefits.htm
The benefits of working with us at ING include:
Contact Stanley Waccary at Stanley.Waccary@ing.com for more information about this role. Want to apply directly? Please upload your CV and motivation letter by clicking the “Apply” button.
With 57,000 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.
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