Principal Engineer - Data Science and Engineering

• As a Principal Engineer for Data Science and Engineering, you have the responsibility to develop data-centric solutions and take lead of comprehensive (sub-)projects with a direct impact on results. You will work with colleagues from a wide range of disciplines, professional backgrounds and specializations on a daily basis.

Responsibilities

• Responsible for the successful development and implementation of innovative analytics and business insights by tapping into various domain-specific data sources that are available.
• Develop GenAI solutions using the data sources that addresses business needs
• Addressing on strategic and operational issues for enabling data engineering and data science topics within the domain by analyzing various data streams.
• Understand business objective and translate it to Data science/ GenAI objectives
• Ensuring internal knowledge transfer between projects and stakeholders
• Deriving new conceptual approaches and methods for future projects
• Collaboration in interdisciplinary teams and sub-project management
• Contributing to the identification and evaluation of potential applications for data-based decision and insights.
• Lead discussions with various function-owners and brainstorm for ideas to solve problems.
• Participation in data analysis from conception to model building, from data engineering to visualization
• Ensuring the internal transfer of knowledge between projects and stakeholders
• Contributing to the derivation of new conceptual approaches and methods for future projects
• Collaboration in interdisciplinary teams
• Participation in the development of individual (sub-)projects for the on-time, on-budget and on-quality delivery of project results as well as the tracking and control of the respective project risks

Skills

• Experience working with Azure cloud tech stack ( databricks / ADLS etc.), and knowledge of multiple cloud tech-stacks.
• Experience building models in distributed computing (preferably pyspark )
• Experience in Requirements engineering and (rapid) prototyping for the creation of BI/data analytics tools (Power BI/Python stack in Azure environment)
• Experience with development and operations of data pipelines in the cloud (Preferably Azure.)
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark
• Deep expertise in architecting and data pipelines in cloud using cloud native technologies.
• Good experience in both ETL and ELT Ingestion patterns, building and managing data pipelines.
• Hands-on experience working on large volumes of data(Petabyte scale) with distributed compute frameworks.
• Leadership pre-requisites:
• Has lead teams in the past with at least a size of 4-5 people with clear technical delivery responsibilities.
• Has demonstrated undisputed will to succeed and has an ability to bring out the best solutions taking into account the engineering feasibility, costs and timeline in mind.
• Is purpose-driven, entrepreneurial, driven-to-win. Is able to keep the customers view point in mind in coming-up with effective solutions.
• Imbibes culture and values of the organization, is value-driven, ethical and fair.
• Motivated and passionate about learning new technologies, creates a learning culture to self and others in the team.

Qualifications

• Bachelors/Masters/PhD in Electrical/Electronics/Computer science/Communications or other related streams of Engineering.
• 10+ years in Data Science and Engineering (preferably in Automotive)
• Experience in working in a diverse work environment, across different work cultures and a matrix organization.
• International work experience
• Strong written and oral communication skills (English)
• Other preferred skills
• German language skills will be added advantage