- Locatie: Amsterdam
- Afdeling: Data & Analytics
- Sluit: 30-09-2019
- Opleiding: wo
- Ref. KPN_10206
Vacature openDe vacature staat open, we ontvangen graag je sollicitatie.
Gesprekken geplandDe eerste kandidaten komen op gesprek. Je kunt nog steeds solliciteren, maar wacht niet te lang.
Afrondende gesprekkenDe afrondende gesprekken zijn gepland. Mocht je nog willen solliciteren, dan moet je heel snel zijn.
IngevuldWe hebben onze nieuwe collega gevonden. Solliciteren is helaas niet meer mogelijk, maar we nodigen je uit om te reageren op andere vacatures.
Are you the type of engineer that always wants to go for the next challenge? Help us develop and maintain machine learning products based on our own machine learning models and techniques.
The Data Science Lab is developing machine learning applications and infrastructure to help transform KPN into a data driven company. Topics are wide and interesting like; Customer Intend recognition on chat, call and email, Modelfactory, Realtime NBA's, Fraud prediction and Targetted Advertising for TV. Enthousiastic and highly experienced team of 15+ data scientist and engineers in a DevOps setting working close to both the business (end to end use cases) aswell as our Infra teams withtin Technium to create scalable solutions. We are looking for this highly skilled engineer who can help making our applications more robust and maintanable.
Your responsibilities will be to help:
Improving and maintaining existing software products.
- Ensuring availability and performance of data pipelines.
Finding new automation opportunities and coding it as you see fit.
Configuring and running new use cases for new customers.
Integrating our products with existing systems for maximum impact.
Sharing knowledge with the rest of the DevOps team.
Masters degree in Software Engineering or similar.
Python (3+ years) and experience deploying production ready software.
Experience in DevOps, CI/CD way of working.
Experience with ETL jobs.
- Creating Dockers
- AWS Operations and developer
- Experience with distributed computing frameworks (e.g. Sprak, Akka)
- Experience with streaming frameworks (e.g. Kafka, Flink, Spark-Streaming)
- Java (1+ years)
- Machine Learning models
You will be working with the following tools
- PyTest: Unit testing / Automated testing
- Jenkins / CI CD / DevOps
Kibana and Grafana: data visualization tools
- Apache Spark, Hadoop, Hive
An independent and self-starting, embrace feedback and always want to improve your skills.
Structured in your approach, building solid, robust and reusable solutions.
Precise/accurate in your work, prefer creating quality code over quick hacks.
- "Build it the right way from the start" mentality
What you get in return
Help bringing one of the most innovative team within the leading telco of the Netherlands to the next level
Work in a small, high-performing team and cooperate with experts and business owners throughout KPN and its innovation ecosystem
Flexible work schedule
If you are interested and meet the qualitfitcation please contact Lennart Koster via firstname.lastname@example.org