Description
ING is looking for a passionate Dev Engineer
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 'no nonsense' getting-things done mentality, please read on!
An experienced Development engineer who enjoys to work with the latest analytics technology to build APIs that feed ING's customers with personal relevant insights and advise. ING works with large amount of data, both batch and streaming. The engineers in the 1:1 Analytics area work together with data scientists and customer journey experts to utilize this data for the benefit of our customers. Our squads are multi-disciplinary and work agile.
Your work environment
You will be part of the 1:1 Data Interaction chapter, which consists of engineers who develop software (APIs and end-user applications) that contain sophisticated analytical algorithms, such as machine learning models. Our goal is to be the best team of people that know how to operationalize those algorithms, thereby making predictive analytics and real-time streaming a reality in application for ING's customers
Which department?
The 1:1 Analytics IT Area is a team of 40 people hat has the mission to make the customer's interaction extremely personal and relevant. 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.
Job description
You are an ambitious, enthousiastic software engineer. You enjoy designing, developing, testing and maintaining complex data-driven systems. Preferably, you have worked with low-latency distributed systems before, or you have read about them and tried some things out for yourself.
You are a good programmer with a strong theoretical basis; nobody has to explain you the details of KISS, DRY, YAGNI and the GoF OOP design patterns. You have some experience in functional programming and know its core principles. You are able to write clean, correct, efficient and maintainable code.
Our Stack
Within the 1:1 Analytics Tribe we mainly use the following technologies and frameworks:
- Scala, Akka
- Docker / Kubernetes / Openshift
- Kafka
- Spark
- Flink
- REST Api
- Cassandra (and other noSQL DBs)
- Python
- Polymer (nice to have)
- Airflow (nice to have)