Data Engineering Team Lead (m/f/x)

Munich, Germany
IT / Software

Recruiter: Andreea Chirilov

The Role

We have built the KONUX Predictive Maintenance System for Rail Switches, the first AI-based solution for the rail industry. As a Data Engineering Team Lead at KONUX you will be responsible for managing a large research data resource that is growing rapidly in both size and complexity. You will take pride in ensuring that the data science team has the best possible access to well-organized data sources. You will also act as an interface with our production team, ensuring alignment of model data requirements. You will, of course, be automating data management processes and be responsible for data cleansing. Ideal candidates learn and adapt quickly and will be able to use every tool at their disposal to understand and effectively tackle hard problems. You will be working in a Linux environment.

When pioneering a new technology, the unexpected is expected. Thus, the KONUX Culture includes a growth mindset, resilience and flexibility. This means: seeing setbacks as learning opportunities and encouraging you to drive harder. Improving continuously by failing fast and learning fast. Staying up when the going gets tough. Thinking and acting without barriers within a highly dynamic environment, based on data driven decisions. If you share that mentality...Apply and become a part of the KONUX vision: Transform railway operations for a sustainable future!

Your Responsibilities

  • Lead a team of Data Engineers working on complex research projects
  • Develop your team members to reach their full potential by mentoring and training them, creating a space with opportunities for personal and professional growth
  • Support and guide them towards success and towards being a high performing team
  • Actively participate in recruiting and growing the team
  • Ensure the consistency and quality of a wide range of raw data sets, including millions of time series recordings from the field
  • Lead and develop a team of data engineers, by providing technical and functional mentorship and guidance
  • Assist with the development of the back-end (and design, and/or front-end too) for web-based data visualization applications
  • Provide database support and management of research model input and output data, including preparation of schema
  • Create functional specifications and schema for new and existing data management processes
  • Manage the data lake infrastructure, including services like Spark/EMR, Hive and Athena
  • Write interfaces to other systems for data gathering and data acquisition
  • Develop data acquisition monitoring and accounting processes that alert users to missing data
  • Automate the data cleansing and data pruning processes

Your Profile

  • A degree in Computer Science, Engineering, or a related field
  • 5-7 years in a Data Engineering or very similar role
  • Proven experience in leading technical teams towards success
  • Proven experience in coaching/mentoring team members
  • Proficiency in SQL and Python
  • Advanced proficiency of Spark/EMR, AirFlow, Hive, Athena, Redis
  • Advanced knowledge of different database technologies like SQL, NoSQL, object-relational databases
  • Experience in database schema design and database management in a business environment
  • Ability to understand and deliver in a complex and rapidly evolving data and product environment
  • Demonstrated examples of working with business partners to deliver a solution that meets project objectives (requirements generation, functional specification generation to project execution)
  • Familiarity with the fundamentals of machine learning
  • Strong interpersonal communications skills (verbal, presentation and written)
  • Autonomous and solution-oriented working methods
  • An understanding of traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting)
  • Experience in leading, couching and mentoring teams
  • Sharing the KONUX Culture, incl. a Growth Mindset, Resilience and Flexibility

Nice to Have

  • Problem solving, and project management skills
  • Able to work closely with others in collaborative environment
  • An understanding of traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting)
  • Teamwork, creativity and communication skills

Don't Apply If

  • You have never worked in data engineering
  • You have never touched on of there technologies: Spark/EMR, AirFlow, Hive, Athena, Redis
  • You feel that the KONUX Culture is not for you

Enabling a Data-Driven World

At KONUX, we are empowering the rail industry by building the best possible predictive analytics solutions for our customers. We strive to help industrial companies improve their maintenance and performance decision making in a data-driven world. A career at KONUX is for those who want to be at the forefront of analytics, working to make notable improvements to train reliability which affects hundreds of commuters every day. Our culture prioritizes the customer first, and all employees are expected and empowered to take ownership of their daily responsibilities. If this sounds like the type of environment you thrive in, then we want to hear from you!

Equal Opportunity

At KONUX, we focus on results. We believe that a diverse team achieves better results faster. So here’s the deal: You bring in your very own perspective. We promise to judge your qualifications and performance, not your age, sex, religion, skin color, gender identity, family status or disability.

What We Offer

  • The opportunity to play a decisive role in shaping a company during its pivotal growth stage alongside a diverse, multinational team
  • A competitive salary with equity (all permanent KONUX employees have equity!)
  • 27 days (+1 day on every work anniversary for 3 years)
  • Remote team events and opportunities to socialize with colleagues also during Covid
  • Flexible working conditions and home office equipment

Updated: 13 hours ago
Job ID: 3107193
About KONUX GmbH
KONUX’s vision: Transform railway operations for a sustainable future.
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