Apache Airflow, Apache Flink, Apache Kafka, Avro, Azure, Docker, Druid, GitLab, GoLang, Java Programming, Kubernetes-K8s, NoSQL, Parquet, PostgreSQL, Python Programming, Scala Programming, SPARK Programming, SQL, Terraform
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 WBAA, 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.
The team
ING Analytics Wholesale Banking 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
Our Stack
Within the Wholesale banking Advanced Analytics team we use (amongst others) the following technologies and frameworks:
Execution:
Processing:
Storage:
Programming:
Data Security and Governance:
Data Visualization:
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:
The ING Group is a Dutch multinational banking and financial services corporation headquartered in Amsterdam. Its primary businesses are retail banking, direct banking, commercial banking, investment banking, wholesale banking, private banking, asset management, and insurance services.
Melbourne VIC, Australia
2-4 year
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2-4 year
Vilnius, Vilnius city municipality, Lithuania
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Vilnius, Vilnius city municipality, Lithuania
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Vilnius, Vilnius city municipality, Lithuania
2-4 year
Chennai, Tamil Nadu, India
4-6 year
Vilnius, Vilnius City Municipality, Lithuania
2-4 year
Boston, MA, USA
2-4 year
San José, Costa Rica
8-10 year
Bucharest, Romania
4-6 year
Melbourne VIC, Australia
10-12 year
Bengaluru, Karnataka, India
4-6 year
New Delhi, Delhi, India
4-6 year
Washington D.C., DC, USA
8-10 year
Copenhagen, Denmark
4-6 year
Helsinkivej, Silkeborg, Denmark
4-6 year
Oslovej, Rødekro, Denmark
4-6 year
Stockholm, Sweden
4-6 year
Bangkok, Thailand
6-8 year
Ho Chi Minh City, Vietnam
6-8 year
Jakarta, Indonesia
6-8 year
Kuala Lumpur, Malaysia
6-8 year
Manila, Philippines
6-8 year
Ho Chi Minh City, Vietnam
4-6 year
Jakarta, Indonesia
4-6 year
Kuala Lumpur, Malaysia
4-6 year
Manila, Philippines
4-6 year
Atlanta, GA, USA
10-12 year
Boston, MA, USA
10-12 year
London, UK
10-12 year
Munich, Germany
10-12 year
Melbourne VIC, Australia
2-4 year
Cologne, Germany
4-6 year
Frankfurt, Germany
4-6 year
Hamburg, Germany
4-6 year
Stuttgart, Germany
4-6 year
Dusseldorf, Germany
4-6 year
New Delhi, Delhi, India
14-16 year
New Delhi, Delhi, India
4-6 year
Bengaluru, Karnataka, India
14-16 year
Bengaluru, Karnataka, India
2-4 year
Bengaluru, Karnataka, India
4-6 year
New Delhi, Delhi, India
4-6 year
Bengaluru, Karnataka, India
4-6 year
Düsseldorf, Germany; Berlin, Germany; Cologne, Germany; Frankfurt, Germany; Hamburg, Germany; Munich, Germany
8-10 year
Zürich, Switzerland
8-10 year
Berlin, Germany; Cologne, Germany; Dusseldorf, Germany; Frankfurt, Germany; Hamburg, Germany; Munich, Germany
8-10 year