About the team:
We are responsible for building the data platform. We are highly focused on simplicity and ease of use by all data-oriented users. We are a strong enabler of our data-strategy: make the right data easily available to everybody for high-quality decisions.
Our tech stack: Scala, Java, everything with Kafka (Streams, Connect, KSQL,…), Akka, Spark, Flink, Docker, K8s, Play, Slick, AWS Services (eg. EMR,S3), NewRelic, JUnit, ScalaTest, ScalaSpec
To support our ambitious growth, we are now looking for a Data Engineer (m/f/d) to join our team in Berlin, Germany starting as soon as possible.
Your tasks - Paint the world green
Your purpose
• You will work in our data science incubation team and help us to develop a decentralized data organization that implants quantitative decision making into our company’s DNA
• You will work alongside our product development and business unit analytics teams of individuals with diverse backgrounds and skills in analytics and data science
• You will have the opportunity to directly influence strategic decisions by leading organizational level initiatives that drive scale, efficiency, and insight across our organization
• You will collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data science community
Your value
• You will discover and verify new opportunities to grow our business, scale and optimize operations and to tap into new markets via innovative data products
• You will evolve FlixBus into a data driven company by providing leadership and governance to a decentralized, company wide data organization
• You will support on all organizational levels to derive decisions utilizing data and analytical skills
• You will help to structure work, planning new analyses, translating business questions into analytical projects
• You will consult and mentor data scientists, data engineers and data analysts to drive excellence in value generation
• You will strive to represent FlixBus as a technology organization by presenting at conferences, contributing to patents and writing white papers
Your Profile - Ready to hop on board
Your expertise:
• Proven track record of at least 7+ years of applying data science methods to business problems in an industry context, preferably in e-commerce
• Lateral team leadership, mentoring and cross team project management skills
• Extensive and deep experience with designing, developing, validating, and deploying advanced data products and delivering actionable insights from data analysis
• Experience leading or collaborating with a team of data scientists in developing and delivering machine learning models that work in production
PhD or MsC in Computer Science, Computational and Applied Statistics, Operations Research, Machine Learning, Mathematics or comparable field
• Experience in projects involving large scale multidimensional databases, complex business infrastructure, and cross-functional teams
Your technical skills
• Strong verbal/written communication and presentation skills, including an ability to effectively communicate with both business and technical teams
• Solid programming experience in mainstream programming languages like Python, R, Scala, or Java
• Experience visualizing and communicating data
• Hands-on experience applying machine learning techniques (especially feature engineering) using standard off the shelf packages
• Good understanding of sourcing data using various data management solution (relational as well as non-relational databases)
• Experience working with large data streaming technologies like Spark, Flink