Principal Engineer
2 months ago
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.
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 objective
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 customer’s 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.
Qualifikationen· Bachelors/Masters/PhD in Electrical/Electronics/Computer science/Communications or other related streams of Engineering.
· + 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
BenefitsMitarbeiterrabatte möglichGesundheitsmaßnahmenMitarbeiterhandy möglichEssenszulagenBetriebliche AltersversorgungHybrides Arbeiten möglichMobilitätsangeboteMitarbeiter EventsCoachingFlexible Arbeitszeit möglichBetriebsarztKantine, CaféBarrierefreiheitGute AnbindungParkplatzKinderbetreuung
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