Engineering lead - Data Science

  • Job Reference: William Grierson (R)
  • Date Posted: 8 October 2018
  • Recruiter: Eurobase People
  • Location: Berlin, Germany
  • Salary: €70,000 to €140,000
  • Sector: Information Technology
  • Job Type: Permanent
  • Work Hours: Full Time
  • Contact: William Grierson
  • Email: william.grierson@eurobase.com
  • Telephone: 01245 455320

Job Description

As an Engineering Lead, you will be part of the leadership team for data. Our job is to make the teams happy, technically and collaboratively awesome, by coaching, inspiring, constraining and helping.

YOU ARE SETTING STANDARDS

Delivery. You easily find your way and lead others through complex systems, and understand the principles of highly available, scalable, maintainable and performant services.

Vision. You develop and execute mid- and long-term technical vision and architecture with your teams while closely collaborating with other Engineering Managers and the Product Owner to be in line with our overall tech strategy.

Collaboration. You facilitate collaboration and decision-making between different teams and stakeholders and drive projects towards the realization of company goals.

Impact. You make things happen and know how to find the right balance between discussion and action. Additionally, you seek to make your mark by constantly increasing your functional knowledge, ownership and responsibilities.  

Growth. You attract, onboard and retain diverse talents and you act as a key contributor in developing the overall technical capabilities by working one-on-one with your data scientists and engineers. Furthermore, you develop and promote forward-thinking engineering practices and strong feedback culture across all of our teams.

 

YOU ARE

Skilled.  In working hands-on with object-oriented and functional programming languages like Java /  Scala / Python. You have demonstrated skills in programming and also you are comfortable with AWS, microservices architecture, RESTful APIs. Architecture - build the architecture data Scientists need to work efficiently on.

Experienced. Bringing 5+ years of direct leadership experience in an agile setting. Minimum 2 years should have been spent working with Machine Learning or Data Science topics.

A Leader. Leading, coaching and mentoring engineers. Servant leadership of agile teams, focusing on making them autonomous.

A Communicator. Communicating with empathy, influence, and inspiration as well as in dealing with and resolving conflicts in a graceful manner.

Does this sound like the right step in your career? Get in contact today to discuss this further.