Fullstack Developer WBAA

ING

Vacature informatie

Organisatie: ING

Locatie: Amsterdam

Opleidingsniveau: WO

Arbeidsvoorwaarden: Marktconform

Solliciteren

ING is looking for a Fullstack Dev Engineer for developing our next-generation, container-based Data Analytics Products

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 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 'no nonsense' getting-things done mentality, please read on!

Job description

As a Full Stack Dev Engineer you will develop our next-generation, container-based Data Analytics Products.The platforms you develop will allow ING to scale to new data and user volumes, and will encourage our teams to continually innovate in the latest technologies and techniques.

Your passion is to work with the latest and greatest technologies that make working with large amounts of data easy, you’re pro-active in keeping yourself up to date and trying everything out. You also enjoy laying the architectural foundations for the things you’re 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 where trying things out is encouraged.


What department?

The Wholesale Banking Advanced Analytics team is a team of 40 people (and growing rapidly) that has the mission to make Wholesale 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.

Our Stack
Within the Wholesale banking Advanced Analytics team we mainly use the following technologies and frameworks:

  • Scala
  • Akka
  • Java
  • Python
  • Javascript (Polymer)
  • Kubernetes / Docker
  • Ceph
  • Spark
  • Flink
  • Kafka

Job description

Your passion is to work with the latest and greatest technologies in the field of Data Engineering. You have experience in Scala, or you are in-depth familiar with another functional programming language or Java and want to learn Scala/Akka as quickly as possible. Furthermore, you would like to grow into a full-stack profile to help in other parts of the application, which are written in Javascript (Polymer) and Python.

You want to work on a single product for a longer period of time, seeing the value you’re creating. You want to work in an agile way, in a great team, where you can proudly present your latest achievements every 2 weeks.

Do you recognize yourself in this profile:

Required:

  • Bachelor’s Degree in Software Engineering / AI / Computer Science;
  • Strong programming skills in Scala (or another Functional Programming language), Java. Familiarity with the Akka framework 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;
  • Good operating system knowledge and solid understanding GIT, CI/CD;
  • Strong knowledge of data structures algorithm and problem-solving skills;
  • Fluent in written and spoken English (Dutch is not required);
  • Passion to work with and contribute to open source technologies.

Nice to have:

  • Being a committer to Open Source repos is a strong plus;
  • Experience in the Financial Services is considered a plus, at least you have affinity with it;
  • 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, both RDBMS (PostgreSQL) and non-SQL databases (e.g., Cassandra, MongoDB, CouchDB, InfluxDB);
  • Experience in setting up web-servers;
  • Good understanding with engineering tools like Docker and OpenShift;
  • Experience in building 0-downtime applications / components;
  • Good understanding of automated testing frameworks;
  • Experience with working in an agile/scrum way, but at least you should have a strong willingness to do so;
  • Experience with Python;
  • Experience with Front end coding (preferably familiarity with Polymer).

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. We only hire people with exceptional talents and capabilities! You will work on the most innovative projects within ING. In addition we offer:

  • Fun!
  • A competitive salary
  • Working with highly skilled people
  • Working in an area which is of great importance to the strategy of ING
  • A relaxed and fun team
  • An International atmosphere
  • A full time position (40 hour week)
  • Great training and education opportunities

Are you keen to know more or apply?
For further inquiries, please contact Stanley Waccary, Stanley.Waccary@ing.com.

We are looking forward to getting to know you!

Vacature informatie

Organisatie: ING

Locatie: Amsterdam

Opleidingsniveau: WO

Arbeidsvoorwaarden: Marktconform

Solliciteren

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