ING is now building its Data Analytics Platform in Google Cloud! It is to help ING to be even more data driven. This is a joined effort between ING units, and you are going to be part of a distributed multi-national and multi-cultural team. There is plenty of work and fun down this road.

As a GCP Chapter Lead, you will help develop the data-driven products that the Analytics Engineering (AE) organization builds. Within the AE organization, we use agile, lean and design thinking methodologies to launch new initiatives within or outside of ING.

Your passion is to work with the latest and greatest technologies that make working with large amounts of data easy, you are proactive in keeping yourself up to date and trying everything out. You also enjoy laying the architectural foundations for the things you are AE e working on while aligning the business problem with the right technology. You combine both thinking of the future and a hands-on, right-now attitude. You can identify on which fronts a team can grow and will help them get there. You will work in a team with highly skilled people and enjoy a creative atmosphere where trying things out is encouraged.


Next to the hands-on project related work, the rest of 60% of your time you will be responsible for an awesome group of GCP engineers from different technological backgrounds in your chapter from coaching and professional development to hiring and staffing. Furthermore, you will be responsible for promoting data engineering excellence within the organization. Your passion is to work with the latest and greatest technologies that make working with substantial amounts of data easy, you are proactive in keeping yourself up to date and are always searching for new ways to discover modern technologies. You also enjoy laying the architectural foundations for the things you are working on. You combine both thinking of the future and a hands-on, right-now attitude. You will work in a team with highly skilled people and enjoy a creative atmosphere in which trying things out is encouraged.

You are in-depth familiar with any of the back-end programming languages like Python or Scala or Kotlin and feel at home working with distributed applications.

Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry-recognized strong brand with positive recognition from customers in many countries, strong financial position, an omnichannel distribution strategy and an international network. If you want to work at a place with lots of freedom to innovate, where we believe that you can live by the Agile manifesto without jeopardizing the necessary continuity, compliance, and QA measures, where we are committed to deliver stable and secure services to end users, and where we have a getting-things done mentality, please read on!


Your work environment


The Analytics Engineering organization is composed of around 150 people that has the mission to make banking in ING data driven. We do this by combining UX research and engineering with data science to deliver high value solutions and products for our organization. We work in a fun and creative environment, and we are dedicated to bringing out the best in both each other and our projects. We have offices in Amsterdam (primary office), Poland and Romania.


Chapter Lead Profile (Managerial)

• You have a proven track-record of developing, coaching and mentoring people from different technological backgrounds.
  

• You have experience and love leading teams to drive results and interact with (senior level) stakeholders
  

• You can explain complicated subjects clearly
  

• You are friendly and approachable and can challenge engineers
  

• You are motivated to keep up to date with the latest developments and to introduce them to the team and projects where applicable
  

• You can see where ING can create steps towards becoming a truly data-driven bank
  

• You are always thinking one step ahead, for example in advising about the best way of implementation
  

• You are a team player who strikes effective balance between independence and acting in the interest of the team
  

GCP Profile (Technical)

• You have Infrastructure as Code mindset (Our tech stack: Terraform with Azure Dev Ops pipelines)
  

• You have built platforms on top of GCP using managed services like Cloud Run, Vertex AI, GKE, Big Query and Dataproc or similar
  

• You have experience with managed GCP services (e.g. GKE, GCS, BQ, Dataproc)
  

• Programming skills (Python & Go preferred)
  

• You have hands-on experience with monitoring, logging and alerting
  

• You have knowledge in secure authentication and encrypted workloads (OIDC, KMS, client/server SSL/TLS and etc)
  

• You can clearly express ideas, facts and opinions. Experience elaborating complex ideas as part of design pages, which makes you great to collaborate with
  

You'll get extra points for:

• Contribution to Open-Source projects is an advantage
  
• Distributed cloud computing and storage on GCP
  

• Ability to optimize code and infra
  

• Automate everything mindset
  

Additional skills:

• Self-improvement and efficiency
  

• Goal oriented and persistent