KLM-Data Engineer 587590

Opdrachtgever (MP) ATOS Nederland BV
Afdeling Central Unit 02
Werklocatie Schiphol
Segment ICT | (Atos) BI, Big Data, GIS & ERP
Functie Big Data Engineer
Functietitel KLM-Data Engineer 587590
Aantal posities 1
Aantal uur per week 40,00
Startdatum opdracht 1-7-2021
Einddatum opdracht 31-12-2021
Optie tot verlengen Ja
CV’s aanleveren voor           25-6-2021 10:00
Functiebeschrijving Description:
We are the business intelligence department within KLM. We are a team of experts who provide business intelligence solutions to different departments within KLM. We do not only specialize in traditional BI, but also take pride in calling ourselves one of the pioneering departments within KLM to work in big data technologies. Within our department, we have different roles and we work on a variety of projects in all areas of AFKL.

Role: Senior Data engineer
The Data Engineer will work on the collecting, storing and processing of sets of data. The primary focus will be on integrating, configuring, maintaining, implementing, and monitoring applications and big data components such as Apache Kafka, HBase, Spark. Designing scalable and future-proof systems, working with large sets of structured and unstructured data. This also includes the industrialization of proof-of-concepts and setting up interfaces. You will work closely with multiple teams to provide end-to-end applications and data solutions. You are able to create an application from the ground up, make architecture decision accordingly and coach more junior persons in the process

Your profile
• Minimum 4 years of experience as data engineer
• Experience with data integration from multiple sources
• Hands-on development experience, preferably in Scrum/Agile setting
• In-depth knowledge of – and working experience with – the Hadoop ecosystem, preferably Hortonworks/Cloudera distribution
• Minimum 4 years hands on experience building applications with Scala
• You are curious, proactive, fast learner able to quickly picking up new areas
• Programmatic mindset
• Experience with scala unit testing
• Strong communication skills in English (both written and spoken).
• Deploying with Docker, Nexus, Bamboo
• Experience with event-streaming: Kafka and/or NIFI
• Capable to take the role of trainer/coach.
• Ability to consult and advise a team on best tool selection, best practices and optimal processes

Nice to haves
• Knowledge of Kubernetes
• Experience with Databases preferable SQL-Server
• Knowledge of data structures
• Knowledge of the Dutch language is preferred
• Experience or affinity with Machine Learning and/or Operations Research concepts
• Experience with Cloud platforms, preferably Azure

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