ING is looking for a Senior Backend Engineer for developing data-driven products that create a 10x impact for our end-users.
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, omni-channel distribution strategy and 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!
As a Senior Backend Engineer, you will help develop the data-driven products that the Analytics Engineering organization builds. Within the AE organization, we use agile, lean and design thinking methodologies to launch new initiatives within or outside of ING.
You will work in a cross-functional team which takes end-to-end ownership and responsibility and contributes in an Agile way to the full lifecycle of an application, from user research and implementation to running it in production.
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 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 are able to 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.
You already have extensive experience in Python – OR - are in-depth familiar with other back-end programming languages like Java or Golang and are interested in building and maintaining CI/CD pipelines using Azure DevOps. You should have basic understanding about containers and Kubernetes principles.
Your work environment
The Analytics Engineering organization is composed of around 110 people that have the mission to make 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 (head office), London, Warsaw, Katowice and Bucharest.
Within the Analytics Engineering organization we mainly use the following technologies and frameworks:
Docker / Kubernetes / Openshift
Do you recognize yourself in this profile:
Bachelor’s Degree in Software Engineering / AI / Computer Science;
Strong programming skills in Python. Familiarity with Golang and Cloud Native build packs is a strong plus.
You have a learning attitude. Not only to master new technologies and programming languages, but also on the interpersonal level. You are proven to be able to ask and give feedback;
You feel at home in a high-performing team, and you make the other team members feel at home as well.
You have the independence to speak up when needed;
Demonstrable experience producing reusable code components and libraries leveraged by multiple projects;
Solid understanding of DevOps practices including Git, CI/CD, monitoring, alerting, ...;
Good understanding of test automation practices;
Strong understanding of container-based platforms and tooling including Docker.
Familiarity with Kubernetes and/or OpenShift is a strong plus;
Strong knowledge of data structures, algorithms and problem-solving skills;
Fluent in written and spoken English (Dutch is not required);
Passion to work with and contribute to open-source technologies.
Being a committer to Open-Source projects is a strong plus.
Experience with building distributed, reactive applications
Knowledge of machine learning (preferred experience with real implementations), or at least strong affinity with it;
Good understanding of streaming technologies like Kafka and Flink;
Good understanding of databases including RDBMS, non-SQL and time-series databases;
Experience in building 0-downtime applications/components;
Experience with working in an agile/scrum way, but at least you should have a strong willingness to do so;
What do we offer?
Working at ING means working in a dynamic and international setting. Individual development of our employees is very important and that is why ING offers excellent courses and programs. You will become a member of the Wholesale Banking Advanced Analytics team, a prestigious, no-nonsense and high-output data-science & engineering team. Diva behaviour is not tolerated, neither is underperformance. You will work on the most innovative projects within ING. In addition, we offer:
A competitive salary
Working with highly skilled people
Working in an area that is of great importance to the strategy of ING
A relaxed and fun team
An International atmosphere
A full-time position
Great training and education opportunities
Are you keen to know more or apply?
For further inquiries, please contact Stanley Waccary, via Stanley.Waccary@ing.com
We are looking forward to getting to know you!
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