Our client is a Tech Startup With offices in HQ Amsterdam, London and the US currently 100 people strong and growing with a exponential speed.

Multicultural environment with a eye for detail and quality, they strive to change, be disruptive in their industry.

Using predictive analytics to determine with extreme accuracy exactly which customer will perform. It’s automated, data- driven and intelligent – learning from client feedback and adjusting its algorithms accordingly. Want to know more?


What will you do?

  • Contribute to extensions of our product data architecture foundation
  • Contribute to assessing features, building and optimizing classifiers using machine learning techniques
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Deliver scalable application platform on basis of big data technologies that fit current and future data usage scenarios such as ETL, data mining, anomaly detection processes (foundation for product extensions)
  • Contribute to assessment and (re)design services to consume data (both high volume traffic challenges and spikes in computation demand challenges)
  • Implement a scalable Reporting platform (possibility for near-real-time reporting)
  • Contribute to data security design & implementation
  • Safe-guard our enterprise product quality
  • Contribute to Product Roadmap
  • Contribute to environment and tools designs for resources efficiency



  • Minimum of 2 years of experience as a Data Engineer
  • Bachelor degree in Computer Science or equivalent relevant work experience
  • Experience with Agile methodologies
  • Product development experience with Scala
  • Proficient understanding of distributed computing principles
  • Preferably experience with building stream-processing systems, using solutions such as Spark / AWS EMR / AWS Glue / DataBricks and/or experience with integration of data from multiple data sources (ETL process) or Data Processing at scale for reporting purposes
  • Experience with NoSQL databases (preferably MongoDB) and indexing systems (ELK)
  • Experience with a messaging system, such as Kafka
  • Have applied before machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. and experience with big data ML tools such as SparkML
  • Strong in implementing or extending algorithms and design patterns
  • Excellent communication skills in English
  • Python is your weapon of choice
  • Comfortable with data stack such as Athena/Hive, BigTable and AWS services


We offer

  • Beautiful and well managed office space in the center of Amsterdam
  • Challenging and inspiring work environment
  • Flat hierarchy where your voice will be heard
  • Competitive salary
  • Flexible hours (from 7 AM till 7 PM)
  • Reimbursement for your daily commute
  • Daily lunch
  • Training and development programs


How does it sound?

In case that you are thinking to make a change and grow professionally, I would be happy to receive an updated CV and schedule a conversation to discuss further. Mail to timothy@wklconsultancy.nl or call +31208950048