Lead Data Engineering

Reference:

VAC-5

Sector:

Data Engineering, E-commerce

Salary:

Salary negotiable

Town/City:

Berlin

Contract Type:

Full Time

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Practice Manager - Data Science, Machine Learning, AI & Analytics; Collaborator

The client is processing all financial transactions for high profile e-commerce company. Starting with a flawless user experience in the checkout over the processing of the payments to reconciliation in the backend, that company covers the entire financial process to boost conversion and deliver a competitive advantage to our customers through smart risk steering.

The client also builds and operates production grade machine learning systems, focused on supervised learning, which have a profound impact on our business. Their REST APIs are backed by dockerized Java, Scala and Go microservices deployed on team-managed AWS accounts and mixed with technologies such as Spark, Flink, Kafka, Cassandra, Postgres and more. 

Key responsibilities

  • Developing and executing the mid- & long-term technical vision and architecture with your teams
  • Help your teams to find the right solution for complex problems by supporting, not steering them
  • Drive team mastery of world-class development techniques
  • Keep a close connection to Product Owners / Product Specialists and be a sparring partner when creating the product vision
  • Facilitate communication and decision-making between teams and stakeholders
  • Support the development of the individuals in your teams
  • Identify and share your knowledge of state-of-the-art technologies
  • Represent at conferences and meetups, give technical talks and help to recruit great technical talent

Key skills and experience

  • A degree in Computer Science or equivalent practical experience.
  • 5+ years of experience in team leadership, agile development methodologies and leading complex projects with various stakeholders throughout the company.
  • A track-record in the delivery of production-grade machine learning systems
  • Up to date knowledge on current trends in software design, architecture and web services
  • Experience designing and operating scalable, highly-available, secure and well-monitored systems

An ideal candidate would also have

  • A PhD in the field of Machine Learning
  • Experience in Supervised Learning
  • Relevant publications

Management & Leadership Qualifications

  • Experience in building, developing and managing teams of engineers and data scientists in an agile environment
  • Lead projects and groups, including managing complex projects with various stakeholders through the whole company
  • Coaching teams and individuals into finding the best possible solution
  • Ability to work cross-functionally with other teams, and to solve conflicts
  • Craft a technical vision for your area that aligns well with the overall technology vision
  • Excellent written and verbal communications skills and English language fluency

Benefits 

  • Mentoring program
  • Tech talks, skills-building courses and People Leads who help you achieve mastery
  • Personal branding support: From preparing tech talks and blog posts to professional networking
  • Community: hack weeks, movie nights, coder dojos, +70 self-organized tech guilds and more
  • Competitive salary
  • 40% shopping discount at certain e-commerce stores and commuter discount
Talk to us
Practice Manager - Data Science, Machine Learning, AI & Analytics; Collaborator